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reference predict_h14877 (Jun 26, 2000 00:05:31) reference pred_h14877 (Jun 26, 2000 00:06:21) PPhdr from: kapilm@cs.brandeis.edu PPhdr resp: MAIL PPhdr orig: HTML PPhdr want: HTML PPhdr password(###) prediction of: - threading (TOPITS)- return msf format ret topits hssp ret topits strip ret topits own ret html # default: single protein sequence description=Lysine Aminomutase MINRRYELFKDVSDADWNDWRWQVRNRIETVEELKKYIPLTKEEEEGVAQCVKSLRMAITPYYLSLIDPNDPNDPVRKQAIPTALELNKAAADLEDPLHEDTDSPVPGLTHRYPDRVLLLITDMCSMYCRHCTRRRFAGQSDDSMPMERIDKAIDYIRNTPQVRDVLLSGGDALLVSDETLEYIIAKLREIPHVEIVRIGSRTPVVLPQRITPELVNMLKKYHPVWLNTHFNHPNEITEESTRACQLLADAGVPLGNQSVLLRGVNDCVHVMKELVNKLVKIRVRPYYIYQCDLSLGLEHFRTPVSKGIEIIEGLRGHTSGYCVPTFVVDAPGGGGKTPVMPNYVISQSHDKVILRNFEGVITTYSEPINYTPGCNCDVCTGKKKVHKVGVAGLLNGEGMALEPVGLERNKRHVQE
------------------------------------------------------------- Pattern-ID: ASN_GLYCOSYLATION PS00001 PDOC00001 Pattern-DE: N-glycosylation site Pattern: N[^P][ST][^P] 257 NQSV Pattern-ID: PKC_PHOSPHO_SITE PS00005 PDOC00005 Pattern-DE: Protein kinase C phosphorylation site Pattern: [ST].[RK] 54 SLR 110 THR 133 TRR 241 STR 381 TGK Pattern-ID: CK2_PHOSPHO_SITE PS00006 PDOC00006 Pattern-DE: Casein kinase II phosphorylation site Pattern: [ST].{2}[DE] 13 SDAD 30 TVEE 41 TKEE 65 SLID 83 TALE 169 SGGD 364 TYSE Pattern-ID: MYRISTYL PS00008 PDOC00008 Pattern-DE: N-myristoylation site Pattern: G[^EDRKHPFYW].{2}[STAGCN][^P] 47 GVAQCV 252 GVPLGN 264 GVNDCV 360 GVITTY 393 GLLNGE 406 GLERNK Pattern-ID: AMIDATION PS00009 PDOC00009 Pattern-DE: Amidation site Pattern: .G[RK][RK] 381 TGKK Pattern-ID: ATP_GTP_A PS00017 PDOC00017 Pattern-DE: ATP/GTP-binding site motif A (P-loop) Pattern: [AG].{4}GK[ST] 331 APGGGGKT Pattern-ID: LEUCINE_ZIPPER PS00029 PDOC00029 Pattern-DE: Leucine zipper pattern Pattern: L.{6}L.{6}L.{6}L 167 LLSGGDALLVSDETLEYIIAKL
>prot (#) ppOld, default: single protein sequence description=lysine aminomutase /home/phd/server/work/predict_h14877
MINRRYELFKDVSDADWNDWRWQVRNRIETVEELKKYIPLTKEEEEGVAQCVKSLRMAIT
PYYLSLIDPNDPNDPVRKQAIPTALELNKAAADLEDPLHEDTDSPVPGLTHRYPDRVLLL
ITDMCSMYCRHCTRRRFAGQSDDSMPMERIDKAIDYIRNTPQVRDVLLSGGDALLVSDET
LEYIIAKLREIPHVEIVRIGSRTPVVLPQRITPELVNMLKKYHPVWLNTHFNHPNEITEE
STRACQLLADAGVPLGNQSVLLRGVNDCVHVMKELVNKLVKIRVRPYYIYQCDLSLGLEH
FRTPVSKGIEIIEGLRGHTSGYCVPTFVVDAPGGGGKTPVMPNYVISQSHDKVILRNFEG
VITTYSEPINYTPGCNCDVCTxxxxxxxxxxxx
LLNGEGMALEPVGLERNKRHVQE
Identities computed with respect to: (query) prot Colored by: consensus/70% and property
HSP processing: ranked
17 [ . . . : . . . . 1 . . . . : . . . . 2 . . . . : . . . . 3 . . . . : . . ] 373 prot (#) ppOld, default: single ... score P(N) N 100.0% WNDWRWQVRNRIETVEELKKYIPLTKEEEEXXXXXXXXXXXXXXXXXXXXXDPNDPNDPVRKQAIPTALELNKAAADLEDPLHEDTDSPVPGLTHRYPDRVLLLITDMCSMYCRHCTRRRFAGQSDDSMPMERIDKAIDYIRNTPQVRDVLLSGGDALLVSDETLEYIIAKLREIPHVEIVRIGSRTPVVLPQRITPELVNMLXXYHPVWLNTHFNHPNEITEESTRACQLLADAGVPLGNQSVLLRGVNDCVHVMKELVNKLVKIRVRPYYIYQCDLSLGLEHFRTPVSKGIEIIEGLRGHTSGYCVPTFVVDAPGGGGKTXVMPNYVISQSHDKVILRNFEGVITTYSEPINYTP 1 PD008727 p2000.1 (8) YJEK(2) // PRO... 351 1.1e-121 5 53.2% WFKWLWQLTNGVKTLKELRKVLNLKVEDED---------------------NPYVEBDPIRRQVIPTEWEIEKZVWHKEDFMGEDEYSPVPGLTHRYPDRVLLLVTDSCAVYCRYCFRRWFIQQENQGVPKEEVEKALDYIREHPEINEVLISGGDPLTLSDHKLEKLLKRLREIPHVKIIRIGTRLPVVAPQRITDDLLELL--YKPIWIMTHINHPYEITEEAREAVEKLRKTGIPIYNQSVLLRGVNDDFETLATLFHALTKIGVKPYYLFQCDPTPGTGHFRVPIEETLEIMRTLRGRISGYAIPTLAVDLPGGGGKT----------------------------------- 2 PD041312 p2000.1 (1) YODO_BACSU // H... 137 2.6e-11 1 76.5% -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------LQPNYVLSQSPDKVILRNFEGVITSYPEPENYIP consensus/100% .............................. ........................................................................................................................................................ ..................................................................................................................... .................................. consensus/90% .............................. ........................................................................................................................................................ ..................................................................................................................... .................................. consensus/80% .............................. ........................................................................................................................................................ ..................................................................................................................... .................................. consensus/70% .............................. ........................................................................................................................................................ ..................................................................................................................... .................................. |
--- ------------------------------------------------------------ --- --- Again: these results were obtained based on the domain data- --- base collected by Daniel Kahn and his coworkers in Toulouse. --- --- PLEASE quote: --- F Corpet, J Gouzy, D Kahn (1998). The ProDom database --- of protein domain families. Nucleic Ac Res 26:323-326. --- --- The general WWW page is on: ---- --------------------------------------- --- http://www.toulouse.inra.fr/prodom.html ---- --------------------------------------- --- --- For WWW graphic interfaces to PRODOM, in particular for your --- protein family, follow the following links (each line is ONE --- single link for your protein!!): --- http://www.toulouse.inra.fr/prodom/cgi-bin/ReqProdomII.pl?id_dom1=PD008727 ==> multiple alignment, consensus, PDB and PROSITE links of domain PD008727 http://www.toulouse.inra.fr/prodom/cgi-bin/ReqProdomII.pl?id_dom2=PD008727 ==> graphical output of all proteins having domain PD008727 http://www.toulouse.inra.fr/prodom/cgi-bin/ReqProdomII.pl?id_dom1=PD041312 ==> multiple alignment, consensus, PDB and PROSITE links of domain PD041312 http://www.toulouse.inra.fr/prodom/cgi-bin/ReqProdomII.pl?id_dom2=PD041312 ==> graphical output of all proteins having domain PD041312 --- --- NOTE: if you want to use the link, make sure the entire line --- is pasted as URL into your browser! --- --- END of PRODOM --- ------------------------------------------------------------
--- ------------------------------------------------------------ --- MAXHOM multiple sequence alignment --- ------------------------------------------------------------ --- --- MAXHOM ALIGNMENT HEADER: ABBREVIATIONS FOR SUMMARY --- ID : identifier of aligned (homologous) protein --- STRID : PDB identifier (only for known structures) --- IDE : percentage of pairwise sequence identity --- WSIM : percentage of weighted similarity --- LALI : number of residues aligned --- NGAP : number of insertions and deletions (indels) --- LGAP : number of residues in all indels --- LSEQ2 : length of aligned sequence --- ACCNUM : SwissProt accession number --- OMIM : OMIM(Online Mendelian Inheritance in Man) ID --- NAME : one-line description of aligned protein --- --- MAXHOM ALIGNMENT HEADER: SUMMARY ID STRID IDE WSIM LALI NGAP LGAP LEN2 ACCNUM NAME yodo_bacsu 60 73 410 1 5 471 O34676 HYPOTHETICAL 54.1 KD PROT y454_aquae 48 62 366 1 1 370 O66761 HYPOTHETICAL PROTEIN AQ_4 y121_trepa 35 44 336 3 11 355 O83158 HYPOTHETICAL PROTEIN TP01 yjek_haein 34 48 320 2 2 338 P44641 HYPOTHETICAL PROTEIN HI03 yg32_aquae 34 43 350 6 43 374 O67554 HYPOTHETICAL PROTEIN AQ_1 yjek_ecoli 33 46 327 4 4 342 P39280 HYPOTHETICAL 38.7 KD PROT yjek_bucap 34 46 143 1 1 144 Q44634 HYPOTHETICAL PROTEIN IN G --- --- MAXHOM ALIGNMENT: IN MSF FORMAT
--- --- Version of database searched for alignment: --- SWISS-PROT release 38.0 (7/99) with 80000 proteins ---
Identities computed with respect to: (1) predict_h1480 Colored by: consensus/70% and property
1 [ . . . . : . . . . 1 . . . . : . . . . 2 . . . . : . . . . 3 . . . . : . . . . 4 . ] 416 1 predict_h1480 100.0% MINRRYELFKDVSDADWNDWRWQVRNRIETVEELKKYIPLTKEEEEGVAQCVKSLRMAITPYYLSLIDPNDPNDPVRKQAIPTALELNKAAADLEDPLHEDTDSPVPGLTHRYPDRVLLLITDMCSMYCRHCTRRRFAGQSDDSMPMERIDKAIDYIRNTPQVRDVLLSGGDALLVSDETLEYIIAKLREIPHVEIVRIGSRTPVVLPQRITPELVNMLKKYHPVWLNTHFNHPNEITEESTRACQLLADAGVPLGNQSVLLRGVNDCVHVMKELVNKLVKIRVRPYYIYQCDLSLGLEHFRTPVSKGIEIIEGLRGHTSGYCVPTFVVDAPGGGGKTPVMPNYVISQSHDKVILRNFEGVITTYSEPINYTPGCNCDVCTGKKKVHKVGVAGLLNGEGMALEPVGLERNKRHVQE 2 yodo_bacsu 60.2% ---KEIELWKDVPEEKWNDWLWQLTHTVRTLDDLKKVINLTEDEEEGVRISTKTIPLNITPYYASLMDPDNPRCPVRMQSVPLSEEMHKTKYDLEDPLHEDEDSPVPGLTHRYPDRVLFLVTNQCSMYCRYCTRRRFSGQIGMGVPKKQLDAAIAYIRETPEIRDCLISGGDGLLINDQILEYILKELRSIPHLEVIRIGTRAPVVFPQRITDHLCEILKKYHPVWLNTHFNTSIEMTEESVEACEKLVNAGVPVGNQAVVLAGINDSVPIMKKLMHDLVKIRVRPYYIYQCDLSEGIGHFRAPVSKGLEIIEGLRGHTSGYAVPTFVVDAPGGGGKIALQPNYVLSQSPDKVILRNFEGVITSYPEPENYIPNQADAYfeTADKKEPIGLSAIFADKEVSFTPENVDRIKRR--- 3 y454_aquae 47.8% -------FFENVPENLWRSYEWQIQNRIKTLKEIKKYLKLLPEEEEGIKRTQGLYPFAITPYYLSLINPEDPKDPIRLQAIPRVVEVDEKVQSAGEPDALKEEGDIPGLTHRYPDRVLLNVTTFCAVYCRHCMRKRIFSQGERARTKEEIDTMIDYIKRHEEIRDVLISGGEPLSLSLEKLEYLLSRLREIKHVEIIRFGTRLPVLAPQRFFnkLLDILEKYSPIWINTHFNHPNEITEYAEEAVDRLLRRGIPVNNQTVLLKGVNDDPEVMLKLFRKLLRIKVKPQYLFHCDPIKGAVHFRTTIDKGLEIMRYLRGRLSGFGIPTYAVDLPGGKGKVPLLPNYVKKRKGNKFWFESFTGEVVEYEVTEVWEP------------------------------------------- 4 y121_trepa 34.8% -----------------------------TREQRKRRGAGRADEHWRTLsaADALTEHISPAYAHLIAqgADAQALKRQVCFAPQERVVHACECADPLGEDRYCVTPFLVHQYANRVLMLATGRCFSHCRYCFRRGFIAQRAGWIPNEEREKIITYLRATPSVKEILVSGGDPLTGSFAQVTSLFRALRSVAPDLIIRLCTRAVTFAPQAFTPELIAFLQEMKPVWIIPHINHPAELGSTQRAVLEACVGAGLPVQSQSVLLRGVNDSVETLCTLFHALTCLGVKPGYLFQLDLAPGTGDFRVPLSDTLALWRTLKERLSGLSLPTLAVDLPGGGGKFPLvqDVTWHQEREAFSARGIDGAWYTY--------------------------------------------------- 5 yjek_haein 33.6% -----------------QNWLTILKNAISDPKLLLKALNLPEDDFEQSIAARKLFSLRVPQPFIDKIEKGNPQDPLFLQVMCSDLEFVQAEGFSTDPLEEKNANAVPNILHKYRNRLLFMAKGGCAVNCRYCFRRHFPYDENPGNKKS-WQLALDYIAAHSEIEEVIFSGGDPLMAKDHELAWLIKHLENIPHLQRLRIHTRLPVVIPQRITDEFCTLLAETrqTVMVTHINHPNEIDQIFAHAMQKLNAVNVTLLNQSVLLKGVNDDAQILKILSDKLFQTGILPYYLHLLDKVQGASHFLISDIEAMQIYKTLQSLTSGYLVPKLAREIAGEPNKT------------------------------------------------------------------------------ 6 yg32_aquae 31.7% -----------------------MGKKLKYIIDLKFIEEIPEEERRELEKVTEKFAFRTNTYYNSLINWDNPNDPIRRIVIPTTEELEVWGK--LDASNESKYMKVHGLEHKYPDTALLLVTDVCGIYCRFCFRKRLFMNDNDEVARD-VSEGLEYIRNHPEINNVLLTGGDPLILATFKLEKILKALAEIPHVRIVRIGSKMLAVNPFRVlpKLLELFEWfkKLYLMNHFNHPRELTKEARKAVELVQKTGTTLTNQTPILKGINDDFETLKTLLEELSFIGVPPYYVFQCRPTAGNKAYSTPIEETIDLVEAVRAEVSGL----------------AARVRYVMSHETGKIEILGKTDEHIFFRYHRAADPENRGKFmvAEYKSSLSGVS------------------------ 7 yjek_ecoli 32.5% -----------LNTPSREDWLTQLADVVTDPDELLRLLNIDAEEKLLAGRSAKKLflRVPRSFIDRMEKGNPDDPLLRQVLTSQDEFVIAPGFSTDPLEEQ-HSVVPGLLHKYHNRALLLVKGGCAVNCRYCFRRHFPYAENQGNKRN-WQTALEYVAAHPELDEMIFSGGDPLMAKDHELDWLLTQLEAIPHIKRLRIHSRLPIVIPARITEALVECFARStqILLVNHINHANEVDETFRQAMAKLRRVGVTLLNQSVLLRDVNDNAQTLANLSNALFDAGVMPYYLHVLDKVQGAAHFMVSDDEARQIMRELLTLVSGYLVPKLAREIGGEPSKTPL---------------------------------------------------------------------------- 8 yjek_bucap 34.3% ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------IHTRLPIVIPNRITSDLCQIFSNslKIIIVTHINHPQEINEQLSDSLLKLKKSNVILLNQSVLLKNINDNAIILAELSSRLCENNIIPYYLHILDKVKGTSHFLVSNKKAKSIISDLMKMISGFLVPRLVFDNGSKDNKLIII--------------------------------------------------------------------------- consensus/100% ......................................................................................................................................................................................................hto+h.hh.P.thh.thhthht....hhh.sHhNps.Ehsp...tsh.hh.t.sh.l.sQsslLtslNDs..hhh.L.ptL...tl.P.Yla.hc...G..ta.hs..cshtlhp.l.t.hSGh.............................................................................................. consensus/90% ......................................................................................................................................................................................................hto+h.hh.P.thh.thhthht....hhh.sHhNps.Ehsp...tsh.hh.t.sh.l.sQsslLtslNDs..hhh.L.ptL...tl.P.Yla.hc...G..ta.hs..cshtlhp.l.t.hSGh.............................................................................................. consensus/80% ..............................hhhh..h..--......s.t.h..ths..a.phht.tsstpslhh.sh....Eh..h.....-s.t.p....h..l.HpY.sphLh.hps.C...CRaChR+th..t.t.....p.hp.hltYlttp.plpphlhoGG-sL.ht...lt.lhttLttl....hlRltoRhshlhPtRhhscLhphhtp.p.lhl.sHhNHstElsp..tpuhthl.tsslsl.NQoVlL+slNDss.hhtpL.ptLhphtlhPhYla.hD.s.GhtcFhss.pcshplhctLhthhSGh.lPphsh-.sut.sKh.h......................................................................... consensus/70% ................htphlps.cplh+hhtl.t-Ec.thhtstchh.htls..ahshhp.ssPpsPlhhQshsts.Eh..t.t..tDP.tEpp.sslPsLhH+Y.sRsLhhspshCuh.CRaChR++h.hpts.t..pp.hpthlpYlttpsplc-hlhSGGDsLhhp.tpLphllptLcpIsHlphlRItoRhPlVhPpRlTscLhphhpchp.lhlssHhNHPpElscp.pcAhptLhpsGlslhNQoVLL+GlNDssphhtpL.pcLhphtVhPYYla.hDhstGssHFhss.pcuhpIhcsLpshhSGahlPphsh-hsGtssKhsl.................................................... |
**************************************************************************** * * * Prediction of: * * - secondary structure, by PHDsec * * - solvent accessibility, by PHDacc * * * * PHD: Profile fed neural network systems from HeiDelberg * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * Author: Burkhard Rost * * EMBL, Heidelberg, FRG * * Meyerhofstrasse 1, 69 117 Heidelberg * * Internet: Predict-Help@EMBL-Heidelberg.DE * * * * All rights reserved. * * * **************************************************************************** * * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * Secondary structure prediction by PHDsec: * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * Author: Burkhard Rost * * EMBL, Heidelberg, FRG * * Meyerhofstrasse 1, 69 117 Heidelberg * * Internet: Rost@EMBL-Heidelberg.DE * * * * All rights reserved. * * * * * **************************************************************************** * * * About the network method * * ~~~~~~~~~~~~~~~~~~~~~~~~ * * * * The network procedure is described in detail in: * * 1) Rost, Burkhard; Sander, Chris: * * Prediction of protein structure at better than 70% accuracy. * * J. Mol. Biol., 1993, 232, 584-599. * * * * A brief description is given in: * * Rost, Burkhard; Sander, Chris: * * Improved prediction of protein secondary structure by use of se- * * quence profiles and neural networks. * * Proc. Natl. Acad. Sci. U.S.A., 1993, 90, 7558-7562. * * * * The PHD mail server is described in: * * 2) Rost, Burkhard; Sander, Chris; Schneider, Reinhard: * * PHD - an automatic mail server for protein secondary structure * * prediction. * * CABIOS, 1994, 10, 53-60. * * * * The latest improvement steps (up to 72%) are explained in: * * 3) Rost, Burkhard; Sander, Chris: * * Combining evolutionary information and neural networks to predict * * protein secondary structure. * * Proteins, 1994, 19, 55-72. * * * * To be quoted for publications of PHD output: * * Papers 1-3 for the prediction of secondary structure and the pre- * * diction server. * * * **************************************************************************** * * * About the input to the network * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * The prediction is performed by a system of neural networks. * * The input is a multiple sequence alignment. It is taken from an HSSP * * file (produced by the program MaxHom: * * Sander, Chris & Schneider, Reinhard: Database of Homology-Derived * * Structures and the Structural Meaning of Sequence Alignment. * * Proteins, 1991, 9, 56-68. * * * * For optimal results the alignment should contain sequences with varying * * degrees of sequence similarity relative to the input protein. * * The following is an ideal situation: * * * * +-----------------+----------------------+ * * | sequence: | sequence identity | * * +-----------------+----------------------+ * * | target sequence | 100 % | * * | aligned seq. 1 | 90 % | * * | aligned seq. 2 | 80 % | * * | ... | ... | * * | aligned seq. 7 | 30 % | * * +-----------------+----------------------+ * * * **************************************************************************** * * * Estimated Accuracy of Prediction * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * A careful cross validation test on some 250 protein chains (in total * * about 55,000 residues) with less than 25% pairwise sequence identity * * gave the following results: * * * * ++================++-----------------------------------------+ * * || Qtotal = 72.1% || ("overall three state accuracy") | * * ++================++-----------------------------------------+ * * * * +----------------------------+-----------------------------+ * * | Qhelix (% of observed)=70% | Qhelix (% of predicted)=77% | * * | Qstrand(% of observed)=62% | Qstrand(% of predicted)=64% | * * | Qloop (% of observed)=79% | Qloop (% of predicted)=72% | * * +----------------------------+-----------------------------+ * *..........................................................................* * * * These percentages are defined by: * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * | number of correctly predicted residues * * |Qtotal = --------------------------------------- (*100)* * | number of all residues * * | * * | no of res correctly predicted to be in helix * * |Qhelix (% of obs) = -------------------------------------------- (*100)* * | no of all res observed to be in helix * * | * * | * * | no of res correctly predicted to be in helix * * |Qhelix (% of pred)= -------------------------------------------- (*100)* * | no of all residues predicted to be in helix * * * *..........................................................................* * * * Averaging over single chains * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * The most reasonable way to compute the overall accuracies is the above * * quoted percentage of correctly predicted residues. However, since the * * user is mainly interested in the expected performance of the prediction * * for a particular protein, the mean value when averaging over protein * * chains might be of help as well. Computing first the three state * * accuracy for each protein chain, and then averaging over 250 chains * * yields the following average: * * * * +-------------------------------====--+ * * | Qtotal/averaged over chains = 72.2% | * * +-------------------------------====--+ * * | standard deviation = 9.3% | * * +-------------------------------------+ * * * *..........................................................................* * * * Further measures of performance * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * Matthews correlation coefficient: * * * * +---------------------------------------------+ * * | Chelix = 0.63, Cstrand = 0.53, Cloop = 0.52 | * * +---------------------------------------------+ * *..........................................................................* * * * Average length of predicted secondary structure segments: * * * * . +------------+----------+ * * . | predicted | observed | * * +-----------+------------+----------+ * * | Lhelix = | 10.3 | 9.3 | * * | Lstrand = | 5.0 | 5.3 | * * | Lloop = | 7.2 | 5.9 | * * +-----------+------------+----------+ * *..........................................................................* * * * The accuracy matrix in detail: * * * * +---------------------------------------+ * * | number of residues with H, E, L | * * +---------+------+------+------+--------+ * * | |net H |net E |net L |sum obs | * * +---------+------+------+------+--------+ * * | obs H |12447 | 1255 | 3990 | 17692 | * * | obs E | 949 | 7493 | 3750 | 12192 | * * | obs L | 2604 | 2875 |19962 | 25441 | * * +---------+------+------+------+--------+ * * | sum Net |16000 |11623 |27702 | 55325 | * * +---------+------+------+------+--------+ * * * * Note: This table is to be read in the following manner: * * 12447 of all residues predicted to be in helix, were observed to * * be in helix, 949 however belong to observed strands, 2604 to * * observed loop regions. The term "observed" refers to the DSSP * * assignment of secondary structure calculated from 3D coordinates * * of experimentally determined structures (Dictionary of Secondary * * Structure of Proteins: Kabsch & Sander (1983) Biopolymers, 22, * * 2577-2637). * * * **************************************************************************** * * * Position-specific reliability index * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * The network predicts the three secondary structure types using real * * numbers from the output units. The prediction is assigned by choosing * * the maximal unit ("winner takes all"). However, the real numbers * * contain additional information. * * E.g. the difference between the maximal and the second largest output * * unit can be used to derive a "reliability index". This index is given * * for each residue along with the prediction. The index is scaled to * * have values between 0 (lowest reliability), and 9 (highest). * * The accuracies (Qtot) to be expected for residues with values above a * * particular value of the index are given below as well as the fraction * * of such residues (%res).: * * * * +------+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+ * * | index| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | * * | %res |100.0| 99.2| 90.4| 80.9| 71.6| 62.5| 52.8| 42.3| 29.8| 14.1| * * +------+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+ * * | | | | | | | | | | | | * * | Qtot | 72.1| 72.3| 74.8| 77.7| 80.3| 82.9| 85.7| 88.5| 91.1| 94.2| * * | | | | | | | | | | | | * * +------+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+ * * | H%obs| 70.4| 70.6| 73.7| 77.1| 80.1| 83.1| 86.0| 89.3| 92.5| 96.4| * * | E%obs| 61.5| 61.7| 63.7| 66.6| 69.1| 71.7| 74.6| 77.0| 77.8| 68.1| * * | | | | | | | | | | | | * * | H%prd| 77.8| 78.0| 80.0| 82.6| 84.7| 86.9| 89.2| 91.3| 93.1| 95.4| * * | E%prd| 64.5| 64.7| 67.8| 71.0| 74.2| 77.6| 81.4| 85.1| 89.8| 93.5| * * +------+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+ * * * * The above table gives the cumulative results, e.g. 62.5% of all * * residues have a reliability of at least 5. The overall three-state * * accuracy for this subset of almost two thirds of all residues is 82.9%. * * For this subset, e.g., 83.1% of the observed helices are correctly * * predicted, and 86.9% of all residues predicted to be in helix are * * correct. * * * *..........................................................................* * * * The following table gives the non-cumulative quantities, i.e. the * * values per reliability index range. These numbers answer the question: * * how reliable is the prediction for all residues labeled with the * * particular index i. * * * * +------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ * * | index| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | * * | %res | 8.8| 9.5| 9.3| 9.1| 9.7| 10.5| 12.5| 15.7| 14.1| * * +------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ * * | | | | | | | | | | | * * | Qtot | 46.6| 50.6| 57.7| 62.6| 67.9| 74.2| 82.2| 88.3| 94.2| * * | | | | | | | | | | | * * +------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ * * | H%obs| 36.8| 42.3| 49.5| 55.2| 61.7| 69.9| 78.8| 87.4| 96.4| * * | E%obs| 44.7| 44.5| 52.1| 55.4| 60.9| 68.0| 75.9| 81.0| 68.1| * * | | | | | | | | | | | * * | H%prd| 49.9| 52.5| 60.3| 64.2| 69.2| 77.5| 85.4| 89.9| 95.4| * * | E%prd| 41.7| 47.1| 53.6| 57.0| 64.0| 71.6| 78.8| 88.8| 93.5| * * +------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ * * * * For example, for residues with Relindex = 5 64% of all predicted betha- * * strand residues are correctly identified. * * * * * **************************************************************************** * * * * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * Solvent accessibility prediction by PHDacc: * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * Author: Burkhard Rost * * EMBL, Heidelberg, FRG * * Meyerhofstrasse 1, 69 117 Heidelberg * * Internet: Rost@EMBL-Heidelberg.DE * * * * All rights reserved. * * * * * **************************************************************************** * * * About the network method * * ~~~~~~~~~~~~~~~~~~~~~~~~ * * * * The network for prediction of secondary structure is described in * * detail in: * * Rost, Burkhard; Sander, Chris: * * Prediction of protein structure at better than 70% accuracy. * * J. Mol. Biol., 1993, 232, 584-599. * * * * The analysis of the prediction of solvent exposure is given in: * * Rost, Burkhard; Sander, Chris: * * Conservation and prediction of solvent accessibility in protein * * families. Proteins, 1994, 20, 216-226. * * * * To be quoted for publications of PHD exposure prediction: * * Both papers quoted above. * * * **************************************************************************** * * * Definition of accessibility * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * For training the residue solvent accessibility the DSSP (Dictionary of * * Secondary Structure of Proteins; Kabsch & Sander (1983) Biopolymers, 22,* * 2577-2637) values of accessible surface area have been used. The * * prediction provides values for the relative solvent accessibility. The * * normalisation is the following: * * * * | ACCESSIBILITY (from DSSP in Angstrom) * * |RELATIVE_ACCESSIBILITY = ------------------------------------- * 100 * * | MAXIMAL_ACC (amino acid type i) * * * * where MAXIMAL_ACC (i) is the maximal accessibility of amino acid type i.* * The maximal values are: * * * * +----+----+----+----+----+----+----+----+----+----+----+----+ * * | A | B | C | D | E | F | G | H | I | K | L | M | * * | 106| 160| 135| 163| 194| 197| 84| 184| 169| 205| 164| 188| * * +----+----+----+----+----+----+----+----+----+----+----+----+ * * | N | P | Q | R | S | T | V | W | X | Y | Z | * * | 157| 136| 198| 248| 130| 142| 142| 227| 180| 222| 196| * * +----+----+----+----+----+----+----+----+----+----+----+ * * * * Notation: one letter code for amino acid, B stands for D or N; Z stands * * for E or Q; and X stands for undetermined. * * * * The relative solvent accessibility can be used to estimate the number * * of water molecules (W) in contact with the residue: * * * * W = ACCESSIBILITY /10 * * * * The prediction is given in 10 states for relative accessibility, with * * * * RELATIVE_ACCESSIBILITY = (PREDICTED_ACC * PREDICTED_ACC) * * * * where PREDICTED_ACC = 0 - 9. * * * **************************************************************************** * * * Estimated Accuracy of Prediction * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * A careful cross validation test on some 238 protein chains (in total * * about 62,000 residues) with less than 25% pairwise sequence identity * * gave the following results: * * * * * * Correlation * * ........... * * * * The correlation between observed and predicted solvent accessibility * * is: * * * * ----------- * * corr = 0.53 * * ----------- * * * * This value ought to be compared to the worst and best case prediction * * scenario: random prediction (corr = 0.0) and homology modelling * * (corr = 0.66). (Note: homology modelling yields a relative accurate * * prediction in 3D if, and only if, a significantly identical sequence * * has a known 3D structure.) * * * * * * 3-state accuracy * * ................ * * * * Often the relative accessibility is projected onto, e.g., 3 states: * * b = buried (here defined as < 9% relative accessibility), * * i = intermediate ( 9% <= rel. acc. < 36% ), * * e = exposed ( rel. acc. >= 36% ). * * * * A projection onto 3 states or 2 states (buried/exposed) enables the * * compilation of a 3- and 2-state prediction accuracy. PHD reaches an * * overall 3-state accuracy of: * * Q3 = 57.5% * * (compared to 35% for random prediction and 70% for homology modelling). * * * * In detail: * * * * +-----------------------------------+-------------------------+ * * | Qburied (% of observed)=77% | Qb (% of predicted)=60% | * * | Qintermediate (% of observed)= 9% | Qi (% of predicted)=44% | * * | Qexposed (% of observed)=78% | Qe (% of predicted)=56% | * * +-----------------------------------+-------------------------+ * * * * * * 10-state accuracy * * ................. * * * * The network predicts relative solvent accessibility in 10 states, with * * state i (i = 0-9) corresponding to a relative solvent accessibility of * * i*i %. The 10-state accuracy of the network is: * * * * Q10 = 24.5% * * * *..........................................................................* * * * These percentages are defined by: * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * | number of correctly predicted residues * * |Q3 = --------------------------------------- (*100)* * | number of all residues * * | * * | no of res. correctly predicted to be buried * * |Qburied (% of obs) = ------------------------------------------- (*100)* * | no of all res. observed to be buried * * | * * | * * | no of res. correctly predicted to be buried * * |Qburied (% of pred)= ------------------------------------------- (*100)* * | no of all residues predicted to be buried * * * *..........................................................................* * * * Averaging over single chains * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * The most reasonable way to compute the overall accuracies is the above * * quoted percentage of correctly predicted residues. However, since the * * user is mainly interested in the expected performance of the prediction * * for a particular protein, the mean value when averaging over protein * * chains might be of help as well. Computing first the correlation * * between observed and predicted accessibility for each protein chan, and * * then averaging over all 238 chains yields the following average: * * * * +-------------------------------====--+ * * | corr/averaged over chains = 0.53 | * * +-------------------------------====--+ * * | standard deviation = 0.11 | * * +-------------------------------------+ * * * *..........................................................................* * * * Further details of performance accuracy * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * The accuracy matrix in detail: * * .............................. * * * * -------+----------------------------------------------------+----------- * * \ PHD | 0 1 2 3 4 5 6 7 8 9 | SUM %obs * * -------+----------------------------------------------------+----------- * * OBS 0 | 8611 140 8 44 82 169 772 334 27 0 | 10187 16.6 * * OBS 1 | 4367 164 0 50 106 231 738 346 44 3 | 6049 9.8 * * OBS 2 | 3194 168 1 68 125 303 951 513 42 7 | 5372 8.7 * * OBS 3 | 2760 159 8 80 136 327 1246 746 58 19 | 5539 9.0 * * OBS 4 | 2312 144 2 72 166 396 1615 1245 124 19 | 6095 9.9 * * OBS 5 | 1873 96 3 84 138 425 1979 1834 187 27 | 6646 10.8 * * OBS 6 | 1387 67 1 60 80 278 2237 2627 231 51 | 7019 11.4 * * OBS 7 | 1082 35 0 32 56 225 1871 3107 302 60 | 6770 11.0 * * OBS 8 | 660 25 0 27 43 136 1206 2374 325 87 | 4883 7.9 * * OBS 9 | 325 20 2 27 29 74 648 1159 366 214 | 2864 4.7 * * -------+----------------------------------------------------+----------- * * SUM |26571 1018 25 544 961 2564 13263 14285 1706 487 | * * %pred | 43.3 1.7 0.0 0.9 1.6 4.2 21.6 23.3 2.8 0.8 | * * -------+----------------------------------------------------+----------- * * * * Note: This table is to be read in the following manner: * * 8611 of all residues predicted to be in exposed by 0%, were * * observed with 0% relative accessibility. However, 325 of all * * residues predicted to have 0% are observed as completely exposed * * (obs = 9 -> rel. acc. >= 81%). The term "observed" refers to the * * DSSP compilation of area of solvent accessibility calculated from * * 3D coordinates of experimentally determined structures (Diction- * * ary of Secondary Structure of Proteins: Kabsch & Sander (1983) * * Biopolymers, 22, 2577-2637). * * * * * * Accuracy for each amino acid: * * ............................. * * * * +---+------------------------------+-----+-------+------+ * * |AA | Q3 b%o b%p i%o i%p e%o e%p | Q10 | corr | N | * * +---+------------------------------+-----+-------+------+ * * | A | 59.0 87 60 2 38 66 57 | 31 | 0.530 | 5054 | * * | C | 62.0 91 67 5 39 25 21 | 34 | 0.244 | 893 | * * | D | 56.5 21 45 6 49 94 57 | 20 | 0.321 | 3536 | * * | E | 60.8 9 40 3 41 98 61 | 21 | 0.347 | 3743 | * * | F | 63.3 94 67 9 46 29 37 | 27 | 0.366 | 2436 | * * | G | 52.1 75 51 1 31 67 53 | 22 | 0.405 | 4787 | * * | H | 50.9 63 53 23 45 71 50 | 18 | 0.442 | 1366 | * * | I | 64.9 95 68 6 41 30 38 | 34 | 0.360 | 3437 | * * | K | 66.6 2 11 2 37 98 67 | 23 | 0.267 | 3652 | * * | L | 61.6 93 65 8 44 31 40 | 31 | 0.368 | 5016 | * * | M | 60.1 92 64 5 39 45 44 | 29 | 0.452 | 1371 | * * | N | 55.5 45 45 8 38 87 59 | 17 | 0.410 | 2923 | * * | P | 53.0 48 48 9 39 83 56 | 18 | 0.364 | 2920 | * * | Q | 54.3 27 44 7 44 92 56 | 20 | 0.344 | 2225 | * * | R | 49.9 15 47 36 47 76 51 | 18 | 0.372 | 2765 | * * | S | 55.6 69 53 3 51 81 56 | 22 | 0.464 | 3981 | * * | T | 51.8 61 51 8 38 78 53 | 21 | 0.432 | 3740 | * * | V | 61.1 93 65 5 40 39 42 | 34 | 0.418 | 4156 | * * | W | 56.2 85 62 20 49 29 27 | 21 | 0.318 | 891 | * * | Y | 49.7 73 52 33 49 36 38 | 19 | 0.359 | 2301 | * * +---+------------------------------+-----+-------+------+ * * * * Abbreviations: * * * * AA: amino acid in one-letter code * * b%o, i%o, e%o: = Qburied, Qintermediate, Qexposed (% of observed), * * i.e. percentage of correct prediction in each state, see above * * b%p, i%p, e%p: = Qburied, Qintermediate, Qexposed (% of predicted), * * i.e. probability of correct prediction in each state, see above * * b%o: = Qburied (% of observed), see above * * Q10: percentage of correctly predicted residues in each of the 10 * * states of predicted relative accessibility. * * corr: correlation between predicted and observed rel. acc. * * N: number of residues in data set * * * * * * Accuracy for different secondary structure: * * ........................................... * * * * +--------+------------------------------+----+-------+-------+ * * | type | Q3 b%o b%p i%o i%p e%o e%p |Q10 | corr | N | * * +--------+------------------------------+----+-------+-------+ * * | helix | 59.5 79 64 8 44 80 56 | 27 | 0.574 | 20100 | * * | strand | 61.3 84 73 9 46 69 37 | 35 | 0.524 | 13356 | * * | loop | 54.4 64 43 11 44 78 61 | 18 | 0.442 | 27968 | * * +--------+------------------------------+----+-------+-------+ * * * * Abbreviations as before. * * * **************************************************************************** * * * Position-specific reliability index * * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * * * * The network predicts the 10 states for relative accessibility using real* * numbers from the output units. The prediction is assigned by choosing * * the maximal unit ("winner takes all"). However, the real numbers * * contain additional information. * * E.g. the difference between the maximal and the second largest output * * unit (with the constraint that the second largest output is compiled * * among all units at least 2 positions off the maximal unit) can be used * * to derive a "reliability index". This index is given for each residue * * along with the prediction. The index is scaled to have values between * * 0 (lowest reliability), and 9 (highest). * * The accuracies (Q3, corr, asf.) to be expected for residues with values * * above a particular value of the index are given below as well as the * * fraction of such residues (%res).: * * * * +---+------------------------------+----+-------+-------+ * * |RI | Q3 b%o b%p i%o i%p e%o e%p |Q10 | corr | %res | * * +---+------------------------------+----+-------+-------+ * * | 0 | 57.5 77 60 9 44 78 56 | 24 | 0.535 | 100.0 | * * | 1 | 59.1 76 63 9 45 82 57 | 25 | 0.560 | 91.2 | * * | 2 | 61.7 79 66 4 47 87 58 | 27 | 0.594 | 77.1 | * * | 3 | 66.6 87 70 1 51 89 63 | 30 | 0.650 | 57.1 | * * | 4 | 70.0 89 72 0 83 91 67 | 32 | 0.686 | 45.8 | * * | 5 | 72.9 92 75 0 0 93 70 | 34 | 0.722 | 35.6 | * * | 6 | 76.3 95 77 0 0 93 75 | 36 | 0.769 | 24.7 | * * | 7 | 79.0 97 79 0 0 93 78 | 39 | 0.803 | 16.0 | * * | 8 | 80.9 98 80 0 0 91 81 | 43 | 0.824 | 9.6 | * * | 9 | 81.2 99 80 0 0 88 83 | 45 | 0.828 | 5.9 | * * +---+------------------------------+----+-------+-------+ * * * * Abbreviations as before. * * * * The above table gives the cumulative results, e.g. 45.8% of all * * residues have a reliability of at least 4. The correlation for this * * most reliably predicted half of the residues is 0.686, i.e. a value * * comparable to what could be expected if homology modelling were * * possible. For this subset of 45.8% of all residues, 89% of the buried * * residues are correctly predicted, and 72% of all residues predicted to * * be buried are correct. * * * *..........................................................................* * * * The following table gives the non-cumulative quantities, i.e. the * * values per reliability index range. These numbers answer the question: * * how reliable is the prediction for all residues labeled with the * * particular index i. * * * * +---+------------------------------+----+-------+-------+ * * |RI | Q3 b%o b%p i%o i%p e%o e%p |Q10 | corr | %res | * * +---+------------------------------+----+-------+-------+ * * | 0 | 40.9 79 40 16 41 21 40 | 14 | 0.175 | 8.8 | * * | 1 | 45.4 61 46 28 44 48 44 | 17 | 0.278 | 14.1 | * * | 2 | 47.4 53 52 10 46 80 44 | 19 | 0.343 | 19.9 | * * | 3 | 52.9 75 59 4 50 77 47 | 23 | 0.439 | 11.4 | * * | 4 | 60.0 81 63 0 83 84 56 | 25 | 0.547 | 10.1 | * * | 5 | 65.2 82 70 0 0 93 62 | 28 | 0.607 | 10.9 | * * | 6 | 71.3 90 72 0 0 94 70 | 31 | 0.692 | 8.8 | * * | 7 | 76.0 94 76 0 0 95 75 | 34 | 0.762 | 6.3 | * * | 8 | 80.5 97 81 0 0 94 79 | 39 | 0.808 | 3.8 | * * | 9 | 81.2 99 80 0 0 88 83 | 45 | 0.828 | 5.9 | * * +---+------------------------------+----+-------+-------+ * * * * For example, for residues with RI = 4 83% of all predicted intermediate * * residues are correctly predicted as such. * * * * * ****************************************************************************
%H: 31.2 | %E: 24.3 | %L: 44.5 |
%A: 4.3 | %C: 2.6 | %D: 6.2 | %E: 7.2 | %F: 1.4 |
%G: 6.2 | %H: 3.1 | %I: 6.2 | %K: 5.3 | %L: 9.6 |
%M: 2.4 | %N: 4.8 | %P: 6.7 | %Q: 2.6 | %R: 7.0 |
%S: 4.3 | %T: 5.5 | %V: 9.4 | %W: 1.0 | %Y: 3.9 |
AA : | amino acid sequence | |
PHD_sec: | PHD predicted secondary structure: H=helix, E=extended (sheet), blank=other (loop) PHD = PHD: Profile network prediction HeiDelberg | |
Rel_sec: | reliability index for PHDsec prediction (0=low to 9=high) Note: for the brief presentation strong predictions marked by '*' | |
SUB_sec: | subset of the PHDsec prediction, for all residues with an expected average accuracy > 82% (tables in header) NOTE: for this subset the following symbols are used: L: is loop (for which above ' ' is used) .: means that no prediction is made for this residue, as the reliability is: Rel < 5 | |
pH_sec: | 'probability' for assigning helix (1=high, 0=low) | |
pE_sec: | 'probability' for assigning strand (1=high, 0=low) | |
pL_sec: | 'probability' for assigning neither helix, nor strand (1=high, 0=low) | |
P_3_acc: | PHD predicted relative solvent accessibility (acc) in 3 states: b = 0-9%, i = 9-36%, e = 36-100%. | |
Rel_acc: | reliability index for PHDacc prediction (0=low to 9=high) Note: for the brief presentation strong predictions marked by '*' | |
SUB_acc: | subset of the PHDacc prediction, for all residues with an expected average correlation > 0.69 (tables in header) NOTE: for this subset the following symbols are used: I: is intermediate (for which above ' ' is used) .: means that no prediction is made for this residue, as the reliability is: Rel < 4 | |
PHD_acc: | PHD predicted relative solvent accessibility (acc) in 10 states: a value of n (=0-9) corresponds to a relative acc. of between n*n % and (n+1)*(n+1) % (e.g. for n=5: 16-25%). |
PHD results (brief)....,....1....,....2....,....3....,....4....,....5....,....6....,....7....,....8....,....9....,....10...,....11...,....12...,....13...,....14...,....15...,....16...,....17...,....18...,....19...,....20...,....21...,....22...,....23...,....24...,....25...,....26...,....27...,....28...,....29...,....30...,....31...,....32...,....33...,....34...,....35...,....36...,....37...,....38...,....39...,....40...,....41...,....42 AA MINRRYELFKDVSDADWNDWRWQVRNRIETVEELKKYIPLTKEEEEGVAQCVKSLRMAITPYYLSLIDPNDPNDPVRKQAIPTALELNKAAADLEDPLHEDTDSPVPGLTHRYPDRVLLLITDMCSMYCRHCTRRRFAGQSDDSMPMERIDKAIDYIRNTPQVRDVLLSGGDALLVSDETLEYIIAKLREIPHVEIVRIGSRTPVVLPQRITPELVNMLKKYHPVWLNTHFNHPNEITEESTRACQLLADAGVPLGNQSVLLRGVNDCVHVMKELVNKLVKIRVRPYYIYQCDLSLGLEHFRTPVSKGIEIIEGLRGHTSGYCVPTFVVDAPGGGGKTPVMPNYVISQSHDKVILRNFEGVITTYSEPINYTPGCNCDVCTGKKKVHKVGVAGLLNGEGMALEPVGLERNKRHVQE PHD_sec HHHHH HHHHHHHHHHHHHH HHHHHHHH HHHHHHHHHHH EE HHHHH EEEEE HHH E EEEEEEE EEEEEEEEEEEE HHHHHHHHHHHH EEEEE HHHH HHHHHHHHHHHHH EEEEEE EE HHHHHHHHHHHH EEEEE HHHHHHHHHHHHHHHH EE EEEEEEE HHHHHHHHHHHHHH EEEEEEEEE EEEE HHHHHHHHHHHHH EEE EEEEEEEEEE EEEEEE EEEEE EEEE EEEEE E Rel_sec *** **** *** *********** ******* *** ******** *** ******* ** ** ******* ********** * ******** * ******** ********** **** *** ************ ********* *** *********** ** **** *********************** **** ** *********** ** ******* *** ** * *********** ***** ******* ** **** ******** ** ***** ************ *** ** *** *** **** ***** ** P_3_acc ebeeebebbeebeeeebeebbebbeeebee eebee bebeeeeeeebeebbeebebeb e bbebbeee eeebbebbbbeeeeebeeeeeeeee eeeeeeeebbbbbbeb b bbbbbeb bbbbbbbbbbe bbeeeeeeeeeeebeebbbbbee eebeebbbbbb bbbbeeeebebbbeebeebbbbbbbbbbb bbbbbbe bbeebbebbee ebbbbbbbbbbeebeeebeebbeebeebbbebbbbbbbbebbbebbebbeebbeebbebeb bbbbbbbeeeebbe b bbeeebbebbeebeeebbbbbbbebbbebeeee ebbbbeebbbeeeeeeb beb ebbbbbbeeeeeeebeeeeebbeeeeeeeebbbbbbbeeeebbbebeebe beeebee Rel_acc ** * * * * * * * ***** * * * ** * ** * * *** * * ** * * * ** * * * * ** ** * **** * * ** * * * *** * ** * * * * ** * * * ** * * ** ** * * * **** *
PHD results (normal) ....,....1....,....2....,....3....,....4....,....5....,....6....,....7....,....8....,....9....,....10...,....11...,....12...,....13...,....14...,....15...,....16...,....17...,....18...,....19...,....20...,....21...,....22...,....23...,....24...,....25...,....26...,....27...,....28...,....29...,....30...,....31...,....32...,....33...,....34...,....35...,....36...,....37...,....38...,....39...,....40...,....41...,....42 AA MINRRYELFKDVSDADWNDWRWQVRNRIETVEELKKYIPLTKEEEEGVAQCVKSLRMAITPYYLSLIDPNDPNDPVRKQAIPTALELNKAAADLEDPLHEDTDSPVPGLTHRYPDRVLLLITDMCSMYCRHCTRRRFAGQSDDSMPMERIDKAIDYIRNTPQVRDVLLSGGDALLVSDETLEYIIAKLREIPHVEIVRIGSRTPVVLPQRITPELVNMLKKYHPVWLNTHFNHPNEITEESTRACQLLADAGVPLGNQSVLLRGVNDCVHVMKELVNKLVKIRVRPYYIYQCDLSLGLEHFRTPVSKGIEIIEGLRGHTSGYCVPTFVVDAPGGGGKTPVMPNYVISQSHDKVILRNFEGVITTYSEPINYTPGCNCDVCTGKKKVHKVGVAGLLNGEGMALEPVGLERNKRHVQE PHD_sec HHHHH HHHHHHHHHHHHHH HHHHHHHH HHHHHHHHHHH EE HHHHH EEEEE HHH E EEEEEEE EEEEEEEEEEEE HHHHHHHHHHHH EEEEE HHHH HHHHHHHHHHHHH EEEEEE EE HHHHHHHHHHHH EEEEE HHHHHHHHHHHHHHHH EE EEEEEEE HHHHHHHHHHHHHH EEEEEEEEE EEEE HHHHHHHHHHHHH EEE EEEEEEEEEE EEEEEE EEEEE EEEE EEEEE E Rel_sec 98843676516881219999999999734489999881788399999996412213222427874137899996323465267133011237679965466799999974001634999996763454312332102457889999436899999997442221567619992431189999999999608995999961566211441357999999997298499982899759999999999999956981414038897438919999999999943476458999964326752553252158999999967415656622224289999983553435775368769988276489997267669989976536752466467716774687842146886532224469 SUB_sec LLL..HHHH.LLL...HHHHHHHHHHH...HHHHHHH.LLL.HHHHHHHH...........HHH...LLLLLLL....EE.LL........LLLLLLL.LLLLLLLLLL....L..EEEEEELL..E...........LLLLLLLL..HHHHHHHHHH......EEEE.LLL.....HHHHHHHHHHHH.LLLEEEEEE.LLL.......HHHHHHHHHHH.LL.EEEE.LLLLHHHHHHHHHHHHHHHHLLL......EEEE..LL.HHHHHHHHHHH...LL.EEEEEEE...LLL.EE..L..HHHHHHHHHHH..LLLLL......LLLLLLL.EE...EEEE.LLLEEEEE.LL.EEEEE.LLLLLLLLLLLL.EEE..LL.LLL.EEE.LLLL....LLLLL......LL P_3_acc ebeeebebbeebeeeebeebbebbeeebee eebee bebeeeeeeebeebbeebebeb e bbebbeee eeebbebbbbeeeeebeeeeeeeee eeeeeeeebbbbbbeb b bbbbbeb bbbbbbbbbbe bbeeeeeeeeeeebeebbbbbee eebeebbbbbb bbbbeeeebebbbeebeebbbbbbbbbbb bbbbbbe bbeebbebbee ebbbbbbbbbbeebeeebeebbeebeebbbebbbbbbbbebbbebbebbeebbeebbebeb bbbbbbbeeeebbe b bbeeebbebbeebeeebbbbbbbebbbebeeee ebbbbeebbbeeeeeeb beb ebbbbbbeeeeeeebeeeeebbeeeeeeeebbbbbbbeeeebbbebeebe beeebee Rel_acc 00121007431213210203000612132003231200212220332022203140116010530140320011031005200001201111101000222320031161120010878570009162922750104010013211231121760381101261088423202512111181076216114004059051303235340151219525624011449523400311513232354125030241402236791240002168127222722217051672120102401070100234018521712035302741572110033010141012501022113051002102101110110102010311103313120565733013220311101102111226 SUB_acc .......bb..............b..............................b...b...b...b............b............................b.......bbbbb...b.b.b..bb...b...............bb..b.....b..bbb.....b......b..bb..b..b..b.bb.b......b.b..b...bb.bb.e...bbbb..b.....b......bb..b....b.b....bbb..b.....bb..b...b....b.b.bb.......b...b......b..bb..b....b...bb.bb...........b....b.........b..................................bbbb......................e
--- --- GLOBE: prediction of protein globularity --- --- nexp = 213 (number of predicted exposed residues) --- nfit = 165 (number of expected exposed residues --- diff = 48.00 (difference nexp-nfit) --- =====> your protein appears as compact, as a globular domain --- --- --- GLOBE: further explanations preliminaryily in: --- http://www.columbia.edu/~rost/Papers/98globe.html --- --- END of GLOBE
--- --- ------------------------------------------------------------ --- TOPITS prediction-based threading --- ------------------------------------------------------------ --- --- TOPITS ALIGNMENTS HEADER: PARAMETERS --- str:seq= 50 : structure (sec str, acc)= 50%, sequence= 50% --- str:seq = 50 : weight structure/sequence,i.e. str= 50%, seq= 50% --- smin = -1.00 : minimal value of alignment metric --- smax = 2.00 : maximal value of alignment metric --- go = 2 : gap open penalty --- ge = 0.2 : gap elongation penalty --- len1 = 416 : length of search sequence, i.e., your protein --- --- TOPITS ALIGNMENTS HEADER: ABBREVIATIONS --- RANK : rank in alignment list, sorted according to z-score --- EALI : alignment score --- LALI : length of alignment --- IDEL : number of residues inserted --- NDEL : number of insertions --- ZALI : alignment zcore; note: hits with z>3 more reliable --- PIDE : percentage of pairwise sequence identity --- LEN2 : length of aligned protein structure --- ID2 : PDB identifier of aligned structure --- NAME2 : name of aligned protein structure --- IFIR : position of first residue of search sequence --- ILAS : position of last residue of search sequence --- JFIR : PDB position of first residue of remote homologue --- JLAS : PDB position of last residue of remote homologue --- --- TOPITS ALIGNMENTS HEADER: ACCURACY --- : Tested on 80 proteins, TOPITS found the --- : correct remote homologue in about 30% of --- : the cases, detection accuracy was higher --- : for higher z-scores (ZALI): --- ZALI>0 : 1st hit correct in 33% of cases --- ZALI>3 : 1st hit correct in 50% of cases --- ZALI>3.5 : 1st hit correct in 60% of cases --- --- TOPITS ALIGNMENTS HEADER: SUMMARY RANK EALI LALI IDEL NDEL ZALI PIDE LEN2 ID2 NAME2 1 129.73 396 172 49 3.02 33 796 1ahp_A OL_ID: 1; 2 118.47 391 133 32 2.62 27 532 5eat _ID: 1; 3 116.47 389 191 40 2.55 31 785 1pys_B OL_ID: 1; 4 115.67 405 175 35 2.53 28 642 1ksi_B OL_ID: 1; 5 114.60 390 164 42 2.49 28 899 1hkc_A OL_ID: 1; 6 114.53 377 131 37 2.49 27 492 1pkl_A OL_ID: 1; 7 114.07 373 119 41 2.47 28 468 1gln _ID: 1; 8 113.73 356 119 31 2.46 27 449 1bgv_A OL_ID: 1; 9 113.47 361 134 33 2.45 28 435 1csh RATE SYNTHASE (E.C.4.1.3. 10 113.33 382 139 44 2.44 30 619 1req_B MOL_ID: 1; 11 112.60 391 189 42 2.42 31 808 1taq L_ID: 1; 12 112.20 394 164 40 2.40 27 523 1bfd L_ID: 1; 13 112.13 391 168 37 2.40 26 559 1aom_B MOL_ID: 1; 14 111.33 398 147 37 2.37 27 602 1cii L_ID: 1; 15 111.13 384 129 38 2.37 27 581 1gal UCOSE OXIDASE (E.C.1.1.3. 16 110.60 352 193 41 2.35 32 543 1rth_A MOL_ID: 1; 17 110.53 365 147 38 2.35 32 619 1sqc L_ID: 1; 18 110.40 390 159 41 2.34 28 779 1dmr L_ID: 1; 19 110.20 402 174 45 2.33 28 839 1yge L_ID: 1; 20 109.93 379 158 41 2.32 28 720 1oac_A MOL_ID: 1; --- --- TOPITS ALIGNMENTS HEADER: PDB_POSITIONS FOR ALIGNED PAIR RANK PIDE IFIR ILAS JFIR JLAS LALI LEN2 ID2 --- --- TOPITS ALIGNMENTS: SYMBOLS AND EXPLANATIONS --- BLOCK 1 : your protein and its predicted 1D structure, --- : i.e., secondary structure and solvent accessibility --- line 1 : amino acid sequence (one-letter-code) --- line 2 : predicted secondary structure: --- H : helix --- E : strand (extended) --- L : other (no regular secondary structure) --- line 3 : predicted residue relative solvent accessibility --- B : buried, i.e., relative accessibility < 15% --- O : exposed (outside), i.e., relative accessibility >= 15% --- : --- BLOCKS 1-20 : 20 best hits of the prediction-based threading --- ATTENTION : We chose to include all first 20 hit. However, --- ATTENTION : most of them will not constitute true remote --- ATTENTION : homologues. Instead, all hits with a zscore --- ATTENTION : (ZALI) < 3.5 are, at best, rather speculative! --- : for each aligned protein: --- line 1 : amino acids conserved between guide (yours) and the --- : aligned protein (putative homologue) --- line 1 : sequence of aligned protein --- line 3 : secondary structure, taken from DSSP (assignment --- : of secondary structure based on experimental coordinates) --- line 4 : relative solvent accessibility, taken from DSSP --- --- TOPITS ALIGNMENTS 1 - 51 ....:....1....:....2....:....3....:....4....:....5 pred MINRRYELFKDVSDADWNDWRWQVRNRIETVEELKKYIPLTKEEEEGVAQC HHHHH HHHHHHHHHHHHHH HHHHHHHH HHHHHHHHHH OBOOOBOBBOOBOOOOBOOBBOBBOOOBOOOOOBOOOBOBOOOOOOOBOOB 1. 1ahp_A 129.73 LNYQYGLfkQVEApdwsNYPwdVQVGigAVTKDGRWEpiTGQarNGVAQP ELLLLLLLEEEEELLLHHLLLLEEEEELEELLLLLEELEEEEELLLLEEE N E A R RN I E L KE E QC 2. 5eat 118.47 NQVAEKYAQEIEALKEQTRSMlrnLIDIIERLGISYHFEKEIDEILDqc HHHHHHHHHHHHHHHHHHHHHHLHHHHHHHHLLLHHHLHHHHHHHHHHH R E VS A R I L PL E V Q 3. 1pys_B 116.47 RTVEV...VSGAE......NARKGIGVALAlgTELplGQKVGERVIQG LEEEE...EELLL......LLLLLLEEEEELLLELLLLLELLEEEELL IN E VSD N E KKY P K 4. 1ksi_B 115.67 IINSqhEILInvSDNIHNGYGFPILSVDEQSLAIkkYPPfvKKRGLNLSEI EELLEEEEEEEEEEEELLLLLELLLLHHHHHHHLLHLHHHHHHLLLLHHHE I RY V D D V I T EEL I L E EG 5. 1hkc_A 114.60 IKKrydiVAVVNDtgYDDQHCEVGLIIGtmEEL.RHIDLV.EGDEG.... HHHHLLEEEEELHHHLLLLLEEEEEEELLEEEH.HHLLLL.LLLLL.... N F V A R VE LK I E 6. 1pkl_A 114.53 NLTLSIFDPV..ANYRAARitIGPSTQSVEALKGLIqfSHGSHEYHQTT HHHLLLLLLL..LLLLLLEEELLHHHLLHHHHHHHHHLLLLLHHHHHHH Y LF A N R VR R EEL K L E VA 7. 1gln 114.07 VGTAyaLF.NYAWARRNGGRFIVrdrvPGAEelakWLGLSYDEGPDVAAP HHHHHHHH.HHHHHHLLLLEEEELLLLLLHHHHHHHLLLLLLEEHHHELL V I VE KKY E E V Q 8. 1bgv_A 113.73 VDRVIAEVE..KKY....ADEPEFV.QT HHHHHHHHH..HHL....LLLHHHH.HH KDV A R Q N V T G 9. 1csh 113.47 LKDveQARIKTFRQQHGN..TAVGQ......ITVDMSYGGMRG HHHHHHHHHHHHHHHHLL..LLLLL......LLHHHHHLLLLL V D W VR E E K K EG 10. 1req_B 113.33 VRNGDMDA..WDVRALHEDPDE..KF..TRKAILEGLERG LLLLLLLL..LEEEEEELLLLH..HH..HHHHHHHHHLLL L K D D R R R E L E G 11. 1taq 112.60 LKLSWDLAKVRTdvDFAKRREPDRERLRAFLERLEFGSLLH..EFGLLES LLLHHHHHLLLLLLLLLLLLLLLHHHHHHHHHHLLLHHHHH..HHHHHLL YEL R I TV EL YI L E G AQ 12. 1bfd 112.20 VHGTTYELLR..............RQGIDTvnELprYI.LALQeaDGYAQA HHHHHHHHHH..............HLLLLEEHHHHEEE.ELLLHHHHHHHH RYEL DVSDA N V T L Y T G 13. 1aom_B 112.13 DNRYelaqDvsDAQYNeiYFevLRKGATGKALtdYLqiTYASPAGMPNW HHLLLHHLLLLHHHHHHHHHHLLLLLLLLLLLLHHHHHHLLLLLLLLLL N R F A WN WR R K KE E 14. 1cii 111.33 VnpRVDVFHGTPPA.wnEwrSDIEKRDKEITAYKNTlaQQKENENKRTEA LLLLLLLLLLLLLL.LLLLHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH I L V W QV ETV Y E A 15. 1gal 111.13 LIRSGNGlsTLVNGGTwrPHKAQV.DSWETvdNVAAY...SLQAERARAPN EELLELLLHHHLLLLELLLLHHHH.HHHHHLHHHHHH...HHHHEEELLLL IETV LKK PLT E 16. 1rth_A 110.60 SPIETVpkLkkQWPLTEEK....... LLLLLLLLELLLLLLLHHH....... RRY L D W IE L KYI EE Q 17. 1sqc 110.53 RRYLLHEQREDGTWALYPgdLDTTIEAYVAL.KYIGMSRDEEP..MQ. HHHHHHHLLLLLLLLLLLLLHHHHHHHHHHH.HHHLLLLLLHH..HH. R L V AD QV T EE P E E A 18. 1dmr 110.40 LLRRMLTLAGgvNGadYSTGAAQvpHVVGTLeeQQTAWPVLAENTEVmaDP HHHHHHHHHLLEEEELLLLLLHHHHHHLLLLLLLLLLHHHHHHHLLEELLH IN A N W I K Y LT E G 19. 1yge 110.20 INTSLPTLGAGESA.FnhFEWDGSMGIPGAFYIKNYmsLTLesNQGTIRF EELLLLLLLLLLEE.EEEEELLHHHLLEEEEEEEELLEEEELLLLLLEEE N DA D V N I EE KK IPLT G Q 20. 1oac_A 109.93 NNKLLSWQPIKDAhlDDFA.SVQNIINNSEEfkKVipLTvdGKDGLKQD LLEEEEEEEELLLLHHHHH.HHHHHHHLLHHHHHEEEELLLLLLLLLLL --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1ahp_A 129.73 PLR.LWQATHAHPFDLTKFND.GDFLrqQGihTalRLMqsVAdlAgeLHEL EEE.EEEEELLLLLLHHHHHL.LLHHHHHHHLHHHHHHHHHHHHLLLLLLH C L I P S D N D VR A AL L AA L PL E 2. 5eat 118.47 cTSALqfNISPEIFsfQDENgaSdhVRTHalEDALalESAAPHLKSPLREQ HHHHHHLLLLHHHHHHELLLLHHLHHLLLLHLLHHHHHHHHHHLLLLHHHH V S MA P L L P DP P A P AL L A DLE L ED 3. 1pys_B 116.47 GVRSFGMALSPRElgLLepEdpGTPLS.EAWPeaLGLLGLARDleAALkeD LEEEELEELLHHHHLLLLLLLLLLEHH.HLLLLHHLHHHHHHHHLLLLLLL V S M L N P I L L K D E P E 4. 1ksi_B 115.67 IvsSFTmnVRTVRLdfMKESTVnrPITGITIVADLDLMKIVedIEapTAEN EEEEELLLLLEEEEEEELLLLLLLELLLEEEEEELLLLEEEELLLLLLLLL RM I D D I T E L E 5. 1hkc_A 114.60 .....RMCINTEWGAFGDDGSLED......IRTEfeIDRGSLNPGKQLFEK .....EEEEELLHHHLLLLLLLLL......LLLHHHHHHLLLLLLLLLLHH R A D P D V A AD D D 6. 1pkl_A 114.53 TINNVRQAAAELGVNilDTKGPedAVMERGATCYVTTDPAFAdtKDKFYID HHHHHHHHHHHLLLLLEELLLLLEEEELLLLEEEEELLHHHLLLLLEEEEL S R TP L I R IP A E L P 7. 1gln 114.07 PtqSERLPltPEELEQIRKEKGGYDGRARNIpeAEERARRGEplKVPRPGT LLLLLLLHHLHHHHHHHHHHHLLLLLHHHHLLHHHHHHHHLLLELLLLLLE V P D V IP E D H 8. 1bgv_A 113.73 TVEEVLSSLGP....VVDAHPEYEEveRMVIPevIEFRVPWEDDNGKVHVN HHHHHHHLLHH....HHHLLHHHHHLHHHLLLLEEEEEEEEELLLLLEEEE K L I Y S DP D R IP L A E PL E 9. 1csh 113.47 GMKGL...I..YETSVLDP.DEGIRFRGFSIPECQKLLPKAGGGEEPLPep LLLLL...L..LLLEEEEL.LLEEEELLEEHHHHHHHLLELLLLLLELHHL V SL P I P T E AAA E 10. 1req_B 113.33 GVTSLLLRVDP...DAIAPEHLDEVLSDVLLetKVEvqGAAAEALVSVYER LLLEEEEEELL...LLELLLLHHHHLLLLLLLLEEEEHHHHHHHHHHHHHL K L A P LS P V P AL L AA DL DPL 11. 1taq 112.60 SPKALEEAPWpfVLSRKEpaARGGRVHRAPEpkAldLKEaaKDldDplLDP LLLLLLEELLLEEELLLLLEEELLEEEELLLHHHHHLLLEHHHHLLHHHLL L A T L P A AL N AA L PL E 12. 1bfd 112.20 ASrnLhaAGTGNAmaLSNAWNSHSPlqTRAmvEALLTNVDAANLPRPlyea HHLEEEHHHHHHLHHHHHHHHHLLLELLHHHLLLLLLLLLHHHLLLLLELL SL YL L DP P K A D D 13. 1aom_B 112.13 WGTslqVDLMANYL.LLDPAAPPEFGMKE.MRESWKVHVAPEDRPTQQMND LLLLLHHHHHHHHH.HLLLLLLLLLLHHH.HHHHLEELLLHHHLLLLLLLL K L AI D N T N AADL L E 14. 1cii 111.33 AGKRLSAAIAAR......EKDEN......TLKTLRAGNADAAdlQAELReg HHHHHHHHHHHH......HHHHH......HHHHHHHLLLLHHHHHHHHHHH K A Y P D D V PT LHED 15. 1gal 111.13 NAK..QIAAGHYFNahAGPRDTGdaVEDRGVPTKKDFghGVSMFPNTLHEd LHH..HHHHLLLLLHEEELLLLLLHHHLLLLLELLLLLLEEELLLELELLL K L IT S I P PN PVRK IP L K D DPL ED 16. 1rth_A 110.60 .IKAL.VEitEMeiSKIGPENpnTPvrklGIPHPAGLKKKKsdVGdpLDEd .HHHH.HHHHHHHEEELLLLLLEELEEELLLLLHHHLLLLLEELHHELLLL K LR T L L P I LN A A 17. 1sqc 110.53 ..KALRfvFTRMWLALVGEYpeKVPMVPPEigKRMPLnwARATVVALSIVM ..HHHHHHHHHHHHHHLLLLLHHLLLLLHHHLLLLLLLHHHHHHHHHHHHH K I YL DPVRK A L AA DL D L 18. 1dmr 110.40 PIKTSQivIPEhylEALKAKGTkdPVrkPQTDVAIMLGMaaEDLYDklDGE HHHHLLLLELLLHHHHHHHHLLELLELLLLLHHHHHHHHHHLLLLLHHLLL VKS R A Y SL R E DL P E 19. 1yge 110.20 FvkSVrfANHTYVPslVsrEEELKSLRGNGTGERKEYDrvYNDLGNPDkeK EELLLEELLLLLLHHHHHHHHHHHHHHLLLLLLLLLLLLLELLLLLLLLHH L I YL D N P LE K E P 20. 1oac_A 109.93 DARLLKV.IS..YLDVGDGNYWAHPIENLVAVVDLEQKKIVKIEEGPV... LLLEEEE.EE..EELLLLLLHHHLELLLEEEEEELLLLEEEEEEELLL... --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1ahp_A 129.73 LADYEVIQLNDTHPtrVLIDEHQMSWDDAWAITSKTFAYTNHTLMplERWD HHHHEEEEEELLLHHHHHHHHHLLLHHHHHHHHHHHEEEELLLLLHLLEEE H RV I S Y RFA M R 2. 5eat 118.47 QVTHALEQCLHKGVPRvrFFIS...SIYDKEQSKnrFAKLDFNLLQmsRWW HHHHHHHLLLLLLLHHHHHHHH...HLLLLLLLLLHHHHHHHHHHHHHHHH D P T Y R L D M RH RF G ER 3. 1pys_B 116.47 DPEGA.PHFTLGYaqRALFavVDVTnmLErhAFDLRFVGEGIaaREGERL. LLLLL.LEEEEEEEHHHHHHHHHHHHHHHHEEEEHHHLLLEEELLLLLEE. T SP GLT P I F I 4. 1ksi_B 115.67 NTesPPFglTSHQPQGPGFQINGHSVSWANWKFHIGFDVRAGIVISLASI. LLLLLLLLEEEELLLLLLEEEELLEEEELLEEEEEEEELLLEEEEEEEEE. S V LL IT TR F SD S E 5. 1hkc_A 114.60 KMVSgvRLILVKMAKEGLLfiTP..ELL....TRGKF.NTSDVS.AIEklH HHLLHHHHHHHHHHHLLLLHLLL..LLL....LLLLL.LHHHHH.HHLLHH D S VPG D L L T R C A D 6. 1pkl_A 114.53 DYqsKvpGNYIYIDDGILIlvTNSHTISDRrcDVDLPAVSAKDRVDLqgVE LLLHHHLLLEEEELLLLEEEELLLEEEELLLLLLLLLLLLHHHHHHHHHHH T G PD V LL D Y A DD M D 7. 1gln 114.07 TTedELRGvnQEIPD.VVLLKSDGYPTY.......HLANVVDDHL.MGVTd EEEELLLEELLLLLL.LEEELLLLLELH.......HHHHHHHHHH.HLLLE T V GL R V L I F S PM 8. 1bgv_A 113.73 NTGYRvgGL..RFAPSVNLSIMKFLGF......EQAF.KDSLTTLPMGGAK EEEEEEEEE..EELLLLLHHHHHHHHH......HHHH.HHHHLLLLLLEEE T V R L T PM 9. 1csh 113.47 pTPEQVSWVSKEWAKRAAlvVTMLDNF.............PTNLHPMSQLS LLHHHHHHHHHHHHHHLLLHHHHHHHL.............LLLLLHHHHHH D P L D L TD RR A S DS ID 10. 1req_B 113.33 RSDKPAKDLALNLgdPiaLQGtdLTVL...GDWVRRLAKFSPDSRAVT.ID LLLLLHHHLLEEEELHHHHHLLLLLLH...HHHHHHLLLLLLLLEEEE.EE G RY R LL Y R R A R D 11. 1taq 112.60 PSNTTPEGVARRygERAAllFANLwwLY.REVERPLSAVLAHMEATGVRLD LLLLLHHHHHHHLHHHHHHHHHHHHHHH.HHLHHHHHHHHHHHHHHLEEEL VPGL Y D RH R Q D 12. 1bfd 112.20 aSAAEVpglSVPYDDWDKDADPQSHHLFDRHVSSsrLNDQDLDILV..... LLHHHHHLEEEEHHHLLLELLHHHHHHLLLLLLLLLLLHHHHHHHH..... D D T R L IT Y H R G R 13. 1aom_B 112.13 DWDLelFSVTLRDAGQIALiitVLDTGYAVHISRLSASGRY..LFVIGRDG LLLHHEEEEEEHHHLEEEEEEEEEELLLLEEEEEELLLLLE..EEEEELLL G R L D S R Q D 14. 1cii 111.33 gFRTEIAGYDarLHTESRMLFADADSLRISPREARSLIEQAEKRqdAQNAd HHHHHHHHHHHHHHHHHHHHHHHLLLLLLLHHHHHHHHHHHHHHHHHHHHH D D L Y L T Y G E 15. 1gal 111.13 dsDAAREWLLPNYQRPNLQVLT...GQYVGKVLLSQ.NGTTPRAVGVegTH LLLHHHHHLHHHLLLLLEEEEL...LLEEEEEEEEL.LLLLLEEEEEEEEE D PG RY VL T F Q D D 16. 1rth_A 110.60 diNNETPGI..RYQYNVlqGWKGSPAIFQSSMTkePFRKQNPDIVIYQYMD LLLLLLLLE..EEEELELLLLLLHHHHHHHHHHHHHHHHHLLLEEEEEELL PV L R RV L TD RRR A D 17. 1sqc 110.53 MSRQPVFPLPER..ARveLYETDV.......PPRRRGAKGGGGWI.FDALD HHHLLLLLLLHH..HLLHHLLLLL.......LLLLLLLLLLLLHH.HHHHH TDS VP T R SM H SM I 18. 1dmr 110.40 ETdsGVPAETIKELARLftMLAAGWSmrMHHGEQAHWMLVTLASM.LGQIG LLLHLLLHHHHHHHHHHHEEEEELLHHLLLLLHHHHHHHHHHHHH.HLLLL PV G T YP R TD Y S D I 19. 1yge 110.20 KLARPVLgsTFPYPRRGRttVTDPNtfYVPRDENLGHL.KSKDALelSQie HHLLLLELLLLLLLLEELLLLLLLLLLLLLHHHLLLLL.LHHHLHHHHHLH PVP T R PDRV I Y R D M R 20. 1oac_A 109.93 ...VPVP.MTAR.pdRvmQIIEPEGKNytGDMIHWR...NWDFHLSmsRVG ...LLLL.LLLL.LLEELEEELLLLLLEELLEEEEL...LEEEEEEELLLE --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1ahp_A 129.73 D..VKLVKglPRHMQIiiNTRFKTLV.EKTweKVWAKL.AVVHDKQVHMAN E..HHHHHHLHHHHHHHHHHHHHHHH.HHHLLLLHHHH.LLELLLEEEHHH K D P RD AL V E Y A I IV 2. 5eat 118.47 WKDLDFVTTLPYARDRVVECYfaLGVYFEP.QYSQArvKTISMISIveLEA HHLLLHHHHLLLLLLLHHHHHHHHHHLLLH.HHHHHHHHHHHHHHHHHHHH K D T D GG V T E I V I R G 3. 1pys_B 116.47 .KTLDGVERTLHPEDLVIAggEESfvREDT.EAIALEVACFDPVSirRHGL .EELLLLEEELLLLLEEEEELLEEELLLLL.LEEEEEEEELLHHHHHHLLL Y R VL G L V D T E G 4. 1ksi_B 115.67 .....YDLEKHKSRRVLYKgiSELFvqDPTEEFY...FKTFFDSGEFGFGL .....EELLLLEEEEEEEEEEEEEEELLLLLLLL...LLEELHHHHHLLLL A P V V S A LV TL I LR P V GS 5. 1hkc_A 114.60 HNAKEILTrepsVQHviVSFRSANLVA.ATLGAILNRLRdtPRltTVGvgs HHHHHHHHHLLHHHHHHHHHHHHHHHH.HHHHHHHHHHHHLLLEEEEEELH D IR QV DV G D I E R G 6. 1pkl_A 114.53 EQGVdfIRSAEQVGDVRKagRDIMIinHQGVQNIDSIIEESDGIMVArlGV HHLLLLLLLHHHHHHHHHHHLLLEEELHHHHHLHHHHHHHLLEEEELHHLL D A TP VLL A Y LR I S 7. 1gln 114.07 drAEEWLVSTP..IHVLLYR..AFGWEAPRF.YHMPLLRNPDKTKISKRKS EEEHHHHHHHH..HHHHHHH..HLLLLLLEE.EEELLLELLLLLLLLLLLL D N R V GD L V Y R I V G 8. 1bgv_A 113.73 KGGSDFDPNGKSDREVmvPAGD.LGVGAREIGYMYGQYRKI..VG....GF EEEELLLLLLLLHHHHHEEELE.LLELHHHHHHHHHHHHHH..HL....LL AI G V IAKL P V R GS 9. 1csh 113.47 SAAITALNSESNFARAYAEGINRtfVYEDAMD.LIAKL...PCvnLYRAGS HHHHHHHHHHLHHHHHHHLLLLHHHHHHHHHH.HHHHH...HHHHHHLLLL D I V L G AL V IA LR RIG 10. 1req_B 113.33 DANIYHNAGAGDVAEllATGAeaLvvTATHDQFliARLRAL.REAWARIGE ELHHHHLLLLLHHHHHHHHHHHHHHEEELLLHHHHHHHHHH.HHHHHHHHH D A Y R VR V G L S LE L I E S 11. 1taq 112.60 DVA..YLRasLEvreVFRLAGHPflNSRDQLERVllGLPAIGKTEKTGKRS LHH..HHHHHHHHHHHHHLLLLLLLLLLHHHHHHLLLLLLLLLLLLLLHHH KA N V DV A E L A P 12. 1bfd 112.20 .KALNSASNPAIvpDVDAANANavMLA.ERLK...APVWVAPSAPRCPFPT .HHHHHLLLLEEEHHHHHHLLHHHHHH.HHHL...LLEEELLLLLELLLLL K ID V G A EY IA E I S 13. 1aom_B 112.13 GkmIdwMKEPTTVAEIKI.GSEARSIETSKMeyAIAgiMDGETLEPKKIQs LEEEELLLLLLEEEEEEL.LLEEEEEEELLLLEEEEEEEELLLLLEEEEEE DKA D LLSGG AL V D KL R 14. 1cii 111.33 dkAADMLAEYERRKGIllsgGAALAVLDAQQARLlnKLSSveSLNTARNat HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH K NT V VLL G A VS LEYI L I V G 15. 1gal 111.13 HK.....GNTHNvhEVLLAAGSA..VSPTILEyiLEPL.GIDTVVDLPVgd EL.....LEEEEEEEEEELLLLL..LHHHHHHHHHHHH.LLLLLELLLLLL D I R R LL G L D E P 16. 1rth_A 110.60 DdeIGQHrkIEELRQHLLRWG..LTTPDKKHQ......KEPPFLWmlHPDK LELHHHHHHHHHHHHHHHHLL..LLLLLHHHL......LLLLEEELEELLE D A Y R RD LL GDAL D T I L E VE GS 17. 1sqc 110.53 DRALhyfRRAAEIrdWLlqAGdaLKILDMTqaFiwEGL.ELYGVELDYGgs HHHHHHLHHHHHHHHHHHLLLLHHHHLLLLLHHHHHHH.HHHEEELLLLLE Y TP L GG A E L I RE P E G 18. 1dmr 110.40 GLplSYHYstPSTSGPALAggGAATKGPEWlaSVIPVAreNPGAEFDFNGT LLLLLLLLLLLLLLLLLLLLLHHHLLLLLLLLLEEEHHHHLLLLEEEELLE A D TP DVL GG L S L II K PHV V S 19. 1yge 110.20 eSAFD.LKSTpsFQDvlYEGGIKlvIStiPLPViiLKFPQ.PHV..VQV.S HHHHH.LLLLLLHHHHHHLLLEELHHHHLLLLLHEEELLL.LHH..HLL.L I R V GGDA L S TL IA P I 20. 1oac_A 109.93 GPMISTvnDNGTKRKVMYEggdaYLDSGdtLTSPIARGKDAPSNAVltIAD EEEEEEEEELLEEEEEEEEELLEELHHHHLLELLLLLLLLLLLLLEEEEEL --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1ahp_A 129.73 NLCVvvAA..LHSDLvdLFPEYHQLWPNKFHNVTNGITPRriKQCN...PA HHHHHLLH..HHHHHHHLLHHHHHHLLLLEEELLLLELHHHLLLLL...HH T I L K L E S C 2. 5eat 118.47 AYTDAIQRWDINerLPDYMKISYKAILDLYKDYEKELSSasHIVCHAIERM HHHHHHHHLLHHHHLLHHHHHHHHHHHHHHHHHHHHLLLLHHHHHHHHHHH RTP V QR L L L P I A LL 3. 1pys_B 116.47 LRtplvPAQRRALSLLQAlaRVAEALLEAGskPPEAIPFRPEYANRLLGTS LLLLLHHHHHHHHHHHHHHLEEELLLEEELLLLLLLEEELHHHHHHHHLLL T P R P Y P LN HPNE EES L 4. 1ksi_B 115.67 LSTVSLIPNRDCPPHAQFIDTytPILlnIMWRhpNESIEESRTEVNLIVRT LLELLLLELLLELLLLEEEEEELEEEEEEEEEELLLLEEEEEEEEEEEEEE S T R L L E S 5. 1hkc_A 114.60 skTHPQYSRRFHKTLRRLVPDSDVRFL.........LSEssGKGAAMVTAV HHHLLLHHHHHHHHHHHHLLLEEEEEE.........ELLLLHHHHHHHHHH PVV Q I N K PV T TRA A A 6. 1pkl_A 114.53 VEIpvVVAQKILISKCNVAGK..PVICATQMLESMTYNPRPTRA.EvvANA LLLLHHHHHHHHHHHHHHHLL..LEEELLLLLHHHHLLLLLLHH.HHHHHH S T PE L Y L F P EI EE A 7. 1gln 114.07 SHTSlyKAEGFLPE...ALRNY..LCL.MGFSMPdeilEEFIQA...FTWE LLLEHHHHLLLLHH...HHHHH..HHH.LLLLLLLLLHHHHLLL...LLHH V LV Y V H N T A LA 8. 1bgv_A 113.73 FYNGVLtaRSFGGSLVreATGYGSvyVEAVMKHENDTLVGKTVA...LAGF LLHHHLLLHHHLLLLLLLHHHHHHHHHHHHHHHLLLLLLLLEEE...ELLL S NML P L H H T A LA 9. 1csh 113.47 SSIG.AIDSKlsHNFTNMLGYTDplYLTIHSDHEGGNVSAHTsaMNGLAGP LLLL.LLLLLLHHHHHHHHLLLLHHHHHHLLLLLLLLHHHHHHHHHHHLLL V RIT ELVN L IT T A LL 10. 1req_B 113.33 EVFGVDEDKritrElvNILRGSIATF.SASVGGAESITtpFTQA..llPED HHHLLLHHHLEELLLHHHHHHHHHHH.HHHHHLLLEEELLLLLL..LEELL S VL I EL YHP L T FN T TR C L 11. 1taq 112.60 STSAAVLeeKIlrELTKLKSTyhpgRLHTRFNQ....TATAtrLcpNLQNI HHHHHLLLHHHHHHHHHHHHHHLLLLELLEEEL....LLLLLLLELLHHHL R P P I L PV P TR C L A 12. 1bfd 112.20 TRHpgLMPAGI.AAISQLLEGHdpVFRYHQYD.PGQYLKPGTrtCDPLEAA LLLLEELLLLH.HHHHHHHLLLLLLLLLLLLL.LLLLLLLLLEELLHHHHH SR L PE VN K L N A L D 13. 1aom_B 112.13 srVAAILASHYRPeiVNV..KETGKILLVDYTDLNNLKTTEISAERFLHDG ELEEEEEELLLLLEEEEE..LLLLEEEEEELLLLLEEEEEEEELLLLEEEE R L Q TP K V F IT RA LL 14. 1cii 111.33 tRAEQQlqQKNTPDGKTIveKFPgvSGDPRFAGTIKITTSanRANllLSHS HHHHHHHHHHLLHHHHHHHLLLLELLLLLLLLLEEEEEEEELHHHHHHLLL T RIT W T FN S A LL 15. 1gal 111.13 dQTTATVRSRITSAGA...GQGQAAWFAT.FN..ETFGDYSEKAHELLNTK LLEEEEEEEEELHHHL...LELEEEEEEE.HH..HHHHHHHHHHHHHHHHH TP VLP VN K L N IT T L A 16. 1rth_A 110.60 KWtpIVLPEK.DSWTVNDIQK.....LVGKLNWASQitKALTEVIPLTEEA EEELLLLLLL.LLEEHHHHHH.....HHHHHHHHLLLLLLLLLEELLLHHH S PVVL R P L K WL IT A L 17. 1sqc 110.53 sISPvvLALRalPADHDRLVK.AGEWL...LDR..QITVPGDWAVKrlKPG ELLHHHHHHHHLLLLLHHHHH.HHHHH...HHL..LLLLLLHHHHLLLLLL R V V VWL T H T A A 18. 1dmr 110.40 TRsdVKMAYWVGgpFVHHQDRNRMvwlETFVVHDFQWTPTARHA.DIVLPA EEELLLEEEEELLHHHHLLLHHHHHHLLEEEEEELELLHHHHLL.LEEEEE S E VN L P L IT S D 19. 1yge 110.20 SQSAWMTDEEFAREmvngLEEFPPKslDPAidQSSKITADSLDLDGYTMDE LLLHHHLHHHHHHHHLLELLLLLLLLLLHHHLLLLLLLHHHLLLLLLLHHH T V P I P Y P PN TE DA 20. 1oac_A 109.93 DYTGV..PMEI.PRAIAVFERYapEYKHQEMGQPNVSTERRELVVRWIsdA LLLLL..EEEE.EEEEEEEEEEEEEEEELLLLLLLEEEEEEEEEEEEEEEE --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1ahp_A 129.73 ALAALLDKSLQKEWAND....LDQLIN.LVKlkFRDLyiKQAN.KVRLAEF HHHHHHHHHLLLLLLLL....HHHHHH.HHHHHHHHHHHHHHH.HHHHHHH N V G V L N L YY LG F 2. 5eat 118.47 MKEVVRNYNvfIEGYTP..PVSEYLSNALA...TTTYYYLATTSYLGmqDF HHHHHHHHHHHHHLLLL..LHHHHHHHHLH...HHLHHHHHHHHLLLLHHH P Q L C LV I Y L L F 3. 1pys_B 116.47 S.YPEAEQIAILKRL.GclRLEEDLVEEVARIQG.....YE.TIPLAlaFF L.LLHHHHHHHHHHL.LLLLLHHHHHHHHHHHHL.....HH.HLLLLLLLL V GN S L G KEL KLV I YIY D HF 4. 1ksi_B 115.67 TIVTVGnpSIALSGILehKDEIKelHGKLvgIYHDHFYIYYLDFDIDGThf EEEEELLEEEEEEELLLLHHHLLLLLEEEEEELEEEEEEEEEEELLLLLEE L Q H K VK R R L L L F 5. 1hkc_A 114.60 VAYRLAEQHRQIEETLAHFHLTKDMLLE.VKKRMRA....EMELGLrlPSf HHHHHHHHHHHHHHHHHLLLLLHHHHHH.HHHHHHH....HHHHHHLEELL A V G V L G E V I Q L F 6. 1pkl_A 114.53 A.VFNGADCVMLSGETAKGKYPNEVVQYMARICLEA....QSALN.EYVFF H.HHHLLLEEEELHHHHLLLLHHHHHHHHHHHHHHH....HHHLL.HHHHH V LG V LR N E V RV P LS E 7. 1gln 114.07 ERVSLGG.PVflRWMNG..KYIREVLseEVAERVKP.FLREAGLSWESEAY HHLLLLL.LELHHHHHH..HHHHHLLLHHHHHHLHH.HHHHLLLLLLLHHH G LG V L G E N R Q D G F 8. 1bgv_A 113.73 FgaELGAKAVTLSGPDGYIytTEEKINYMLEMRASGRNKVQ.DYafGVQFf LLHHHLLEEEEEEELLEEEELLHHHHHHHHHHHHHLLLLLH.HHHHLLEEE L NQ VLL K L R YI L G 9. 1csh 113.47 PLHGLANQEVLLW.LS...QLQKDLGADASDEKLRD.YIWN.TLNSgvPGY LLLLLHHHHHHHH.HH...HHHHHLLLLLLHHHHHH.HHHH.HHHLLLLLE PL N L VND V KE V KL V C L 10. 1req_B 113.33 DDFPlrNTGIVlgRVNdyVESlkEfvEKLGGmhVTK.VLDAceRAKRLANR LLHHHHHHHHHHLLLLLHHHHHHHHHHHLLLHHHHH.HHHHHHHHHHHHLL VPLG RG L RV LS G E 11. 1taq 112.60 IPvpLGQR..IRRgiAEEGWLLVALDYSQIELRVLA......HLS.GDENL LLLHHHHH..HHLLELLLLEEEEEEEEELHHHHHHH......HHH.LLHHH A P G S L V K R P E 12. 1bfd 112.20 ARAPMGdaSALANLVEESSRQLPTAAPEPAKvrLHPETVFDTLNDMAPeyL HHLLLLEHHHHHHHLLLLLLLLLLLLLLLLLLLELHHHHHHHHHHHLLLEE G G N V KLV I V P D S LE 13. 1aom_B 112.13 GGLD.GSHRYFITAAnnKLVVIDTKEGKLVAIevHPTfvWAtdDSVAleGH EEEL.LLLLEEEEEEHLEEEEEELLLLEEEEEEEELLLEEEELLEEEELLL G L V V V K R R LSL LE 14. 1cii 111.33 SGLdlNDRnvVTEDVEGDKKIYNAEVAEWDKLRQraVNSARNNLslaleNI LHHHLLLLLLLLLLHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH V G N V V Y L LG F 15. 1gal 111.13 KLEQWAEEAVARGGFHNTTALLIQYEnwIVNHNV.AYS....ELFlgVASf HHHHHHHHHHHLLLLLLHHHHHHHHHHHHHLLLL.EEE....EEEELEEEE A L N L GV K L K Y IYQ L G 16. 1rth_A 110.60 AELEleNREIlvHGVY..YDPSKDLIAEIQK.QGqtYQIYqkNLKTgyARM HHHHHHHHHHLLEELL..LLLLLLLEEEEEE.EELEEEEEEEEEEEEEELL G V V D V L N L L E 17. 1sqc 110.53 GGFAFQFDNVYYPDVDDTAVVVWAL.N...............TLRLPDerR LLLLLLLLLLLLLLHHHHHHHHHHH.H...............HLLLLLHHH A G N MK V L R Y I 18. 1dmr 110.40 ATTSYERNDIETIgsNTGILAMKKIVEPLYEAR.SDYDIF........AAV ELLHHHLLEEEEELLLLEEEEELLLLLLLLLLE.LHHHHH........HHH LG D V L K R P I DLS 19. 1yge 110.20 E..ALGSRRLFMLDYHdyVRQINQLNskTYATrlKPVAisAGDLSAAVSQV H..HHHLLLEEEEELHHHHHHHHLLLLLLLEEEEEEEEELLLLLLLLLLEE AG G V GV K K R Y G HF 20. 1oac_A 109.93 AG.ATGIEAV..KGVK.....AKTMHDETAKDDTR..ylIDHNI.VGTThf EE.EEELLLE..EELL.....LLLLLLLLHHHHLL..LEEELLE.EEELEE --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1ahp_A 129.73 F.VKVRTGIDiiKRlrENPQADRVpvFLFGAKAAPgkNIIFaaDVINNDpd H.HHHHHLLLLELLLHHLLLLLLLLEEEEELLLLLLHHHHHHHHHHHHLLH F SK I E C T V G T M Y IS 2. 5eat 118.47 FEW.LSKNPKILE....ASVIIctATYEVEKSRGQIATGimRDYGIS...T HHH.HHLLLHHHH....HHHHHHHHHHHHHHHLLLLLLHHHHHHLLL...H F P G E LR SG V T P P 3. 1pys_B 116.47 FPAPDNRGVEaeQRLREVLSGLgvYTYSFMDPEDARRFRLDPPRLlpLAPE LLLHHHLLLLHHHHHHHHHHHHLLLLLLEELLLHHHHLLLLLLLLELLLHH F K I G S T VV A GG P P D 4. 1ksi_B 115.67 fEKTSLKTVRIKDGSSKRKSYWTTEtlVvtAVggYRLIPAIPAHPLLTEDd EEEEEEEEEELLLLLLLLLEEEEEEEEEELLLLEEEEELLLLLLLLLLLLL FRTP G E L G V G T M NY I D 5. 1hkc_A 114.60 frTP..DGTENGDFLALDLGGTNFRVLLVKIRSGKKRTVEMHnyAieELFD LLLL..LLLLLEEEEEEEELLLEEEEEEEEEELLLLLEEEEEEEELLLHHH F I L P A V N V 6. 1pkl_A 114.53 FNS........IKKLQ......HIP...MSADEAVCSSAV..NSV.YETKA HHH........HHHHL......LLL...LLHHHHHHHHHH..HHH.HHHLL E R T F A Y S 7. 1gln 114.07 Y...LRRAVELMRP.RFDT....LKEFPEKA.....RYLFTEDYPVSEKAQ H...HHHHHHHHHH.HLLL....HHHHHHHL.....HHHLLLLLLLLHHHH F P II Y V P PN V S 8. 1bgv_A 113.73 feKPWGQKVDIikKIVANNVKYYIE..VANMPTTNEALRFlpNMVVAPSkg ELLHHHLLLLEEHHHHHLLLLEEEL..LLLLLELHHHHHHHLLLEEELHHH V LR YC F K PN Q 9. 1csh 113.47 YGHAV.........LRKTDPRycQREFALKHLPSDpklkIVPNVLLEQGKA ELLLL.........LLLLLHHHHHHHHHHHHLLLLHHHHHHHHHHHHHLLL P E G S TF AP G V S S 10. 1req_B 113.33 RKQPITAVSEF..PMIGARS...IEtf.PAAPARKgdSEVFEQLmtSVsrP LLLLLELLLEL..LLLLLLL...LLEL.LLLLLLLLLLHHHHHHHHHLLLL G I G VP VD KT V Y SQS 11. 1taq 112.60 LIRVFQEGRDIHTETASWMFG..VPREAVDpmRRAAKtgVL..YGMsqSFP HHHHHHHLLLHHHHHHHHHHL..LLHHHLLHHHHHHHHHHH..HLLLHHLH S L G C F A G V NY IS 12. 1bfd 112.20 LNESTSTTAQMWQRLNMRNPgfCAagFALPAAIgePERQViaNYSISALWT EEELHHHHHHHHHHLLLLLLLELLLLLHHHHHHHLLLLLEEHLLLHHHHHH K L G S Y V F A G GKT I 13. 1aom_B 112.13 HPDNAWKILDSFPALGGGssQysVAVFDIKAMTGDgkTLPIAEWaiTEGQP LHHHELLEEEEEELLLLLLLLELEEEEEHHHLLLLLEEELHHHHHLLLLLL R S GI I E L TF G K Q 14. 1cii 111.33 IRNQLS.GikIAeeLKATKDAINFTtfLKSVSEkgAKAEQLAREMAGQAKG HHHHHH.HHHHHHHHHHHHHHHHHHHHHHHHHHHLLHHHHHHHHHHHLLLL F P G I L H Y F D G T N IS S 15. 1gal 111.13 flLPFTRgvHILDkl..HHFAYDPQYFllDLLGQAAATQLARN..ISNS.. ELLLLLLEEEELLLH..LLEEEELLLLLHHHHHHHHHHHHHHH..HHLL.. R E T V GKTP P 16. 1rth_A 110.60 MRGAHTNDvqLTEAVQKITT....ESIVI.....WGKTpkLpeTWWTEYWQ LLLLEELHHHHHHHHHHHHH....HHHHH.....HLLLLEELHHHHHHLLL R KG I G G P FV D P V D 17. 1sqc 110.53 RRDAMTKGFRWIVGMQSSNGGwhIpdfvTDPPSEDVTAHVLECFGSFGYDd HHHHHHHHHHHHHHHLLLLLLLHLLLLLLLLLLHHHHHHHHHHHHHLLLLL KG E EG G F DA G VMP V S D 18. 1dmr 110.40 VAERLGKGAEFTEG..KDEMGW.IKSFYDDAAKQGKAAGvmpdFVRYASfd HHHHLLLHHHHHLL..LLHHHH.HHHHHHHHHHHHHHLLLLLHLLLLHHHL P G E I L S Y FV V P Y 19. 1yge 110.20 VVLPAKEGVetIWLLAknDSCYhmEPFVIATH...RHLSVlpHYRNNMNIN EELLLLLHHHHHHHHHHHHHHHHHHHHHHHHH...HHLLLLHHHLLHHHHH FR G S V GG T M Y I D 20. 1oac_A 109.93 fRLDLD.....VDG..ENNSLVAMDPVVKPNTAGGPRTSTMqqYNIGNEQD EEEEEL.....LLL..LEEEEEEEEEEEEELLLLLLLLEEEEEEEELEHHH --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1ahp_A 129.73 dkvFLPDyeKLiaDISEQIS.TAG.KEASGTGNMKLALNgtVGTLDGANVE HHEEELLLHHHHLLEEEELL.LLL.LLLLLLHHHHHHHLLEEEELLLHHHH K F T IN TP T V V N G 2. 5eat 118.47 TKEAMAKFQNMAETAWKDINetPV.STEFLTPILNLArvEVTYIHNLDGYT HHHHHHHHHHHHHHHHHHHHHLLL.LHHHLHHHHHHHHHHHHLLLLLLLLL K LR F G E N D VG AGLL GEG 3. 1pys_B 116.47 EKAALRtfPGLVRVLKE........NLDLDRPERalFEVglAGLLFGEG.. HHLEELLHHHHHHHHHH........HHHHLLLLEEEEEEEEEEEEEELL.. D N T Y G DV T V KVG LL 4. 1ksi_B 115.67 drGAFTNYNVWVTAYNRTEKWAGGLYVdvWTKQNrvNkvgiMPLLS.TSFE LHLHHHHLLEEEEELLLLLLLLLLLLLEHHHHHLLLLEEELLLLEE.EELE D F T S PI T G CDV T V NG MA 5. 1hkc_A 114.60 DHIviSDFLDYMgtFSFpiTWTKgtDcdVVtkRREEFDLDVVAVVngTMma HHHHHHHHHHHLLEELLLLLLLLLLLLEHHHHHHLLLLEEEEEEELHHHHH KV L N T S Y P NC VCT GV EG A 6. 1pkl_A 114.53 AkvVLSN.....TGRSARlkYRP..NCpvctRLQTCRQlgVESVfhDEgvA LLEEELL.....LLHHHHHHLLL..LLLEELLHHHHHHHLEEEEELLLLHH L T G K V K GVAG L G 7. 1gln 114.07 QRKllPLLKELYPRLRAQEEWTEAALEALLRgeKGV.KLgvagSLETPGli HHHHHHHHHHHHHHHHHLLLLLHHHHHHHHHHHHLL.LLHHHLLLLLLLHH V FE SE T V K H V G A 8. 1bgv_A 113.73 gGVLVSGFE..MSQNSERLSWTAE...EV...DSKLHQV.MTDIHDGSAAA HHHHHHHHH..HHHHHHLLLLLHH...HH...HHHHHHH.HHHHHHHHHHH K N GV Y NYT V G V A L G 9. 1csh 113.47 AKNPWPnhSGVLLQYytEMnyT......VLFGVSRALGV.LAQLirALGFP LLLLLELHHHHHHHHLLLHHHH......HHHHHHHHHHH.HHHHHHHLLLL KV LR F G S P G G K GVA L A 10. 1req_B 113.33 PKVFlrDFGGR.EGFSSPVWHIAGIDTPQVEGgeAFKKSgvADLCSSAKva LELEEHHHHHH.HHHHHHHHHHLLLELLEEELLHHHHHHLEEEEELLHHHH KVI EG T Y P D K V G A L M 11. 1taq 112.60 PKviEKTLegYVETLFGRRRYVP....DLEARVKSVREagTAADLMKLAMv HHHHHHHHHLEELLLLLLLEELH....HHLLLLHHHHHHHHHHHHHHHHHH VI N G TY G V V V GL G G A 12. 1bfd 112.20 TavIMNN..G...TY.GALRWFAG....V.LEAENVPGLDVPglAKGYGva HHEEEEL..L...EL.HHHHHHHH....H.LLLLLLLLLELLLHHHHLLLE V F G S V GK V 13. 1aom_B 112.13 PRVVQGEfdGTEVWFS............VWNGKDQESALVV...VDDKTLE LEEEEEEELLLEEEEE............EELLLLLLLEEEE...EELLLLE K I RN E TY Y N KK A A 14. 1cii 111.33 GKKI.RNVEEALKTYE...KYRADIN.......KKINAKDRAAI....AAA LLEL.LLHHHHHHHHH...HLHHHHL.......LLLLLHHHHHH....HHH F G E INY C VGV GL G 15. 1gal 111.13 .GAMQTYFAGelSAWTEYinYHGVGTCSMMPKedNAARvgVQGLRVIDG.S .HHHHHLEEEEHHHHHHHHLLLLELLLLELLHHLLLLEELLELEEELLL.L E V T Y EPI Y G K G AG G A 16. 1rth_A 110.60 QATWIPEWEFVNTpyqePIvyVDG.......AANRETKLGKAGYVTNRglA LELLLLLEEELLLLLLLLLLEEEE.......EEELLLLEEEEEEEELLLHH DKVI R E P G GV L G G A 17. 1sqc 110.53 dkVIRRAVE.YLKREQKPDGSWFG.............RWGV.NYLYGTGaa LHHHHHHHH.HHHHHLLLLLLLLL.............LLEL.HHHHHHHHH D L G I YSE Y D C H LL G G A 18. 1dmr 110.40 dPLllGTPTGLIEIYseKMGY......DDC....PAHPTWMEPllDGPG.A LLLLLLLLLLLEELLLHHHLL......LLL....LLLLLLLLLLLLLLL.L L N G I T P Y V K V K GVAG L E 19. 1yge 110.20 NAlsLINANGIIETTFLPSKYSVEMSSAVY..KNWVfkRGVagvlLIEDYP HHHHLLLLLLHHHHHLLLHHHHHHHHHHHH..LLLLHHLLLELEELLLLLH D F G I S P Y G V G H V GE 20. 1oac_A 109.93 DAA..QKFdgTIRLLsnPVSYqaGGTHPVAKGAqiYHRLsvTRYHPGERF. HHL..ELLLLLEEEEELEEEEEEEELLLELLLLLHHHHLHEEELLLLLLL. --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1ahp_A 129.73 EieKVG.EEngHTVKQ HHHHHL.HHHLLLHHH L K H 2. 5eat 118.47 THPEEVL...KPHI LLHHHHH...HHHH VGL K 3. 1pys_B 116.47 ....VGLPWAKERLS ....EELLLLLLEEL L P ERN R V 4. 1ksi_B 115.67 ELRPTnfERnpRDV EEEELLLLLLLLEL A E VG N E 5. 1hkc_A 114.60 aYEevGTGSNACYMEE HLLLELLLEEEEEEEE A V K VQ 6. 1pkl_A 114.53 A.AGVEFAKSKGYVQT H.HHHHHHHHLLLLLL L G ER R 7. 1gln 114.07 iLALLGKERALRRLE HHHHHLHHHHHHHHH A E GL N 8. 1bgv_A 113.73 AAERYGLGYN HHHHLLLLLL LE GLE 9. 1csh 113.47 PLetAGLEK LLLHHHHHH A GLE K 10. 1req_B 113.33 aQQ..GLEVAK HHH..HHHHHH LE GL V E 11. 1taq 112.60 vlEEMglQVHDELVLE HHHHLLEEELLEEEEE AL LE K QE 12. 1bfd 112.20 aLKADNLEQLKGSLQE EEEELLHHHHHHHHHH L V R V 13. 1aom_B 112.13 ELKHV..IKDERLVTP EEEEE..ELLLLLLLE ALE V L 14. 1cii 111.33 ALESVKLSDISSNLN HHHLLLHHHHHHHHH P V 15. 1gal 111.13 SIPPTQMSSHVMTV LLLLLLLLLLLHHH AL GLE N 16. 1rth_A 110.60 ALQDSGLEVN HHHHHLLEEE AL VG Q 17. 1sqc 110.53 aLKAVGIDTREPYIQK HHHHLLLLLLLHHHHH A P N H Q 18. 1dmr 110.40 AKYPLHIAanRLHSQ LLLLEEEELLLELLE GLE K VQE 19. 1yge 110.20 PYAADGLeaIKTWVQE HHHHHHHHHHHHHHHH P G N 20. 1oac_A 109.93 ...PEGKYPNRSTHDT ...LLLLLLLLLLLLL --- --- TOPITS ALIGNMENTS END ---
Identities computed with respect to: (1) predict_h1480 Colored by: consensus/70% and property
1 [ . . . . : . . . . 1 . . . . : . . . . 2 . . . . : . . . . 3 . . . . : . . . . 4 . ] 416 1 predict_h1480 100.0% MINRRYELFKDVSDADWNDWRWQVRNRIETVEELKKYIPLTKEEEEGVAQCVKSLRMAITPYYLSLIDPNDPNDPVRKQAIPTALELNKAAADLEDPLHEDTDSPVPGLTHRYPDRVLLLITDMCSMYCRHCTRRRFAGQSDDSMPMERIDKAIDYIRNTPQVRDVLLSGGDALLVSDETLEYIIAKLREIPHVEIVRIGSRTPVVLPQRITPELVNMLKKYHPVWLNTHFNHPNEITEESTRACQLLADAGVPLGNQSVLLRGVNDCVHVMKELVNKLVKIRVRPYYIYQCDLSLGLEHFRTPVSKGIEIIEGLRGHTSGYCVPTFVVDAPGGGGKTPVMPNYVISQSHDKVILRNFEGVITTYSEPINYTPGCNCDVCTGKKKVHKVGVAGLLNGEGMALEPVGLERNKRHVQE 2 1ahp_A 22.9% -LNYQYGLfkQVEApdwsNYPwdVQVGigAVTKDGRWEpiTGQarNGVAQPLR-LWQATHAHPFDLTKFND-GDFLrqQGihTalRLMqsVAdlAgeLHELADYEVIQLNDTHPtrVLIDEHQMSWDDAWAITSKTFAYTNHTLMplERWD--VKLVKglPRHMQIiiNTRFKTLV-EKTweKVWAKL-AVVHDKQVHMANLCVvvAA--LHSDLvdLFPEYHQLWPNKFHNVTNGITPRriKQCN---PALAALLDKSLQKEWAND----LDQLIN-LVKlkFRDLyiKQAN-KVRLAEF-VKVRTGIDiiKRlrENPQADRVpvFLFGAKAAPgkNIIFaaDVINNDpdkvFLPDyeKLiaDISEQIS-TAG-KEASGTGNMKLALNgtVGTLDGANVEieKVG-EEngHTVKQ 3 5eat 21.1% --NQVAEKYAQEIEALKEQTRSMlrnLIDIIERLGISYHFEKEIDEILDqcTSALqfNISPEIFsfQDENgaSdhVRTHalEDALalESAAPHLKSPLREQVTHALEQCLHKGVPRvrFFIS---SIYDKEQSKnrFAKLDFNLLQmsRWWKDLDFVTTLPYARDRVVECYfaLGVYFEP-QYSQArvKTISMISIveLEAYTDAIQRWDINerLPDYMKISYKAILDLYKDYEKELSSasHIVCHAIERMKEVVRNYNvfIEGYTP--PVSEYLSNALA---TTTYYYLATTSYLGmqDFEW-LSKNPKILE----ASVIIctATYEVEKSRGQIATGimRDYGIS---TKEAMAKFQNMAETAWKDINetPV-STEFLTPILNLArvEVTYIHNLDGYTHPEEVL---KPHI-- 4 1pys_B 22.8% ---RTVEV---VSGAE------NARKGIGVALAlgTELplGQKVGERVIQGVRSFGMALSPRElgLLepEdpGTPLS-EAWPeaLGLLGLARDleAALkeDPEGA-PHFTLGYaqRALFavVDVTnmLErhAFDLRFVGEGIaaREGERL-KTLDGVERTLHPEDLVIAggEESfvREDT-EAIALEVACFDPVSirRHGLRtplvPAQRRALSLLQAlaRVAEALLEAGskPPEAIPFRPEYANRLLGTS-YPEAEQIAILKRL-GclRLEEDLVEEVARIQG-----YE-TIPLAlaFFPAPDNRGVEaeQRLREVLSGLgvYTYSFMDPEDARRFRLDPPRLlpLAPEKAALRtfPGLVRVLKE--------NLDLDRPERalFEVglAGLLFGEG-----VGLPWAKERLS- 5 1ksi_B 19.3% IINSqhEILInvSDNIHNGYGFPILSVDEQSLAIkkYPPfvKKRGLNLSEIvsSFTmnVRTVRLdfMKESTVnrPITGITIVADLDLMKIVedIEapTAENTesPPFglTSHQPQGPGFQINGHSVSWANWKFHIGFDVRAGIVISLASI-----YDLEKHKSRRVLYKgiSELFvqDPTEEFY---FKTFFDSGEFGFGLSTVSLIPNRDCPPHAQFIDTytPILlnIMWRhpNESIEESRTEVNLIVRTIVTVGnpSIALSGILehKDEIKelHGKLvgIYHDHFYIYYLDFDIDGThfEKTSLKTVRIKDGSSKRKSYWTTEtlVvtAVggYRLIPAIPAHPLLTEDdrGAFTNYNVWVTAYNRTEKWAGGLYVdvWTKQNrvNkvgiMPLLS-TSFELRPTnfERnpRDV-- 6 1hkc_A 19.8% -IKKrydiVAVVNDtgYDDQHCEVGLIIGtmEEL-RHIDLV-EGDEG--------RMCINTEWGAFGDDGSLED------IRTEfeIDRGSLNPGKQLFEKMVSgvRLILVKMAKEGLLfiTP--ELL----TRGKF-NTSDVS-AIEklHNAKEILTrepsVQHviVSFRSANLVA-ATLGAILNRLRdtPRltTVGvgskTHPQYSRRFHKTLRRLVPDSDVRFL---------LSEssGKGAAMVTAVAYRLAEQHRQIEETLAHFHLTKDMLLE-VKKRMRA----EMELGLrlPSfrTP--DGTENGDFLALDLGGTNFRVLLVKIRSGKKRTVEMHnyAieELFDHIviSDFLDYMgtFSFpiTWTKgtDcdVVtkRREEFDLDVVAVVngTMmaYEevGTGSNACYMEE 7 1pkl_A 20.0% --NLTLSIFDPV--ANYRAARitIGPSTQSVEALKGLIqfSHGSHEYHQTTINNVRQAAAELGVNilDTKGPedAVMERGATCYVTTDPAFAdtKDKFYIDYqsKvpGNYIYIDDGILIlvTNSHTISDRrcDVDLPAVSAKDRVDLqgVEQGVdfIRSAEQVGDVRKagRDIMIinHQGVQNIDSIIEESDGIMVArlGVEIpvVVAQKILISKCNVAGK--PVICATQMLESMTYNPRPTRA-EvvANA-VFNGADCVMLSGETAKGKYPNEVVQYMARICLEA----QSALN-EYVFFNS--------IKKLQ------HIP---MSADEAVCSSAV--NSV-YETKAkvVLSN-----TGRSARlkYRP--NCpvctRLQTCRQlgVESVfhDEgvA-AGVEFAKSKGYVQT 8 1gln 21.5% -VGTAyaLF-NYAWARRNGGRFIVrdrvPGAEelakWLGLSYDEGPDVAAPtqSERLPltPEELEQIRKEKGGYDGRARNIpeAEERARRGEplKVPRPGTTedELRGvnQEIPD-VVLLKSDGYPTY-------HLANVVDDHL-MGVTdrAEEWLVSTP--IHVLLYR--AFGWEAPRF-YHMPLLRNPDKTKISKRKSHTSlyKAEGFLPE---ALRNY--LCL-MGFSMPdeilEEFIQA---FTWERVSLGG-PVflRWMNG--KYIREVLseEVAERVKP-FLREAGLSWESEAY---LRRAVELMRP-RFDT----LKEFPEKA-----RYLFTEDYPVSEKAQRKllPLLKELYPRLRAQEEWTEAALEALLRgeKGV-KLgvagSLETPGliLALLGKERALRRLE- 9 1bgv_A 22.7% -----------------------VDRVIAEVE--KKY----ADEPEFV-QTVEEVLSSLGP----VVDAHPEYEEveRMVIPevIEFRVPWEDDNGKVHVNTGYRvgGL--RFAPSVNLSIMKFLGF------EQAF-KDSLTTLPMGGAKGGSDFDPNGKSDREVmvPAGD-LGVGAREIGYMYGQYRKI--VG----GFYNGVLtaRSFGGSLVreATGYGSvyVEAVMKHENDTLVGKTVA---LAGFgaELGAKAVTLSGPDGYIytTEEKINYMLEMRASGRNKVQ-DYafGVQFfeKPWGQKVDIikKIVANNVKYYIE--VANMPTTNEALRFlpNMVVAPSkgGVLVSGFE--MSQNSERLSWTAE---EV---DSKLHQV-MTDIHDGSAAAAERYGLGYN------ 10 1csh 21.4% --------LKDveQARIKTFRQQHGN--TAVGQ------ITVDMSYGGMRGMKGL---I--YETSVLDP-DEGIRFRGFSIPECQKLLPKAGGGEEPLPepTPEQVSWVSKEWAKRAAlvVTMLDNF-------------PTNLHPMSQLSAAITALNSESNFARAYAEGINRtfVYEDAMD-LIAKL---PCvnLYRAGSSIG-AIDSKlsHNFTNMLGYTDplYLTIHSDHEGGNVSAHTsaMNGLAGPLHGLANQEVLLW-LS---QLQKDLGADASDEKLRD-YIWN-TLNSgvPGYGHAV---------LRKTDPRycQREFALKHLPSDpklkIVPNVLLEQGKAKNPWPnhSGVLLQYytEMnyT------VLFGVSRALGV-LAQLirALGFPLetAGLEK------- 11 1req_B 21.2% -----------VRNGDMDA--WDVRALHEDPDE--KF--TRKAILEGLERGVTSLLLRVDP---DAIAPEHLDEVLSDVLLetKVEvqGAAAEALVSVYERSDKPAKDLALNLgdPiaLQGtdLTVL---GDWVRRLAKFSPDSRAVT-IDANIYHNAGAGDVAEllATGAeaLvvTATHDQFliARLRAL-REAWARIGEVFGVDEDKritrElvNILRGSIATF-SASVGGAESITtpFTQA--llPEDDFPlrNTGIVlgRVNdyVESlkEfvEKLGGmhVTK-VLDAceRAKRLANRKQPITAVSEF--PMIGARS---IEtf-PAAPARKgdSEVFEQLmtSVsrPKVFlrDFGGR-EGFSSPVWHIAGIDTPQVEGgeAFKKSgvADLCSSAKvaQQ--GLEVAK----- 12 1taq 20.7% -LKLSWDLAKVRTdvDFAKRREPDRERLRAFLERLEFGSLLH--EFGLLESPKALEEAPWpfVLSRKEpaARGGRVHRAPEpkAldLKEaaKDldDplLDPSNTTPEGVARRygERAAllFANLwwLY-REVERPLSAVLAHMEATGVRLDVA--YLRasLEvreVFRLAGHPflNSRDQLERVllGLPAIGKTEKTGKRSTSAAVLeeKIlrELTKLKSTyhpgRLHTRFNQ----TATAtrLcpNLQNIPvpLGQR--IRRgiAEEGWLLVALDYSQIELRVLA------HLS-GDENLIRVFQEGRDIHTETASWMFG--VPREAVDpmRRAAKtgVL--YGMsqSFPKviEKTLegYVETLFGRRRYVP----DLEARVKSVREagTAADLMKLAMvlEEMglQVHDELVLE 13 1bfd 20.9% VHGTTYELLR--------------RQGIDTvnELprYI-LALQeaDGYAQASrnLhaAGTGNAmaLSNAWNSHSPlqTRAmvEALLTNVDAANLPRPlyeaSAAEVpglSVPYDDWDKDADPQSHHLFDRHVSSsrLNDQDLDILV-----KALNSASNPAIvpDVDAANANavMLA-ERLK---APVWVAPSAPRCPFPTRHpgLMPAGI-AAISQLLEGHdpVFRYHQYD-PGQYLKPGTrtCDPLEAARAPMGdaSALANLVEESSRQLPTAAPEPAKvrLHPETVFDTLNDMAPeyLNESTSTTAQMWQRLNMRNPgfCAagFALPAAIgePERQViaNYSISALWTavIMNN--G---TY-GALRWFAG----V-LEAENVPGLDVPglAKGYGvaLKADNLEQLKGSLQE 14 1aom_B 18.4% --DNRYelaqDvsDAQYNeiYFevLRKGATGKALtdYLqiTYASPAGMPNWGTslqVDLMANYL-LLDPAAPPEFGMKE-MRESWKVHVAPEDRPTQQMNDWDLelFSVTLRDAGQIALiitVLDTGYAVHISRLSASGRY--LFVIGRDGkmIdwMKEPTTVAEIKI-GSEARSIETSKMeyAIAgiMDGETLEPKKIQsrVAAILASHYRPeiVNV--KETGKILLVDYTDLNNLKTTEISAERFLHDGGLD-GSHRYFITAAnnKLVVIDTKEGKLVAIevHPTfvWAtdDSVAleGHPDNAWKILDSFPALGGGssQysVAVFDIKAMTGDgkTLPIAEWaiTEGQPRVVQGEfdGTEVWFS------------VWNGKDQESALVV---VDDKTLELKHV--IKDERLVTP 15 1cii 18.4% -VnpRVDVFHGTPPA-wnEwrSDIEKRDKEITAYKNTlaQQKENENKRTEAGKRLSAAIAAR------EKDEN------TLKTLRAGNADAAdlQAELRegFRTEIAGYDarLHTESRMLFADADSLRISPREARSLIEQAEKRqdAQNAdkAADMLAEYERRKGIllsgGAALAVLDAQQARLlnKLSSveSLNTARNatRAEQQlqQKNTPDGKTIveKFPgvSGDPRFAGTIKITTSanRANllLSHSGLdlNDRnvVTEDVEGDKKIYNAEVAEWDKLRQraVNSARNNLslaleNIRNQLS-GikIAeeLKATKDAINFTtfLKSVSEkgAKAEQLAREMAGQAKGKKI-RNVEEALKTYE---KYRADIN-------KKINAKDRAAI----AAALESVKLSDISSNLN- 16 1gal 20.0% LIRSGNGlsTLVNGGTwrPHKAQV-DSWETvdNVAAY---SLQAERARAPNAK--QIAAGHYFNahAGPRDTGdaVEDRGVPTKKDFghGVSMFPNTLHEdsDAAREWLLPNYQRPNLQVLT---GQYVGKVLLSQ-NGTTPRAVGVegTHK-----GNTHNvhEVLLAAGSA--VSPTILEyiLEPL-GIDTVVDLPVgdQTTATVRSRITSAGA---GQGQAAWFAT-FN--ETFGDYSEKAHELLNTKLEQWAEEAVARGGFHNTTALLIQYEnwIVNHNV-AYS----ELFlgVASflLPFTRgvHILDkl--HHFAYDPQYFllDLLGQAAATQLARN--ISNS--GAMQTYFAGelSAWTEYinYHGVGTCSMMPKedNAARvgVQGLRVIDG-SIPPTQMSSHVMTV-- 17 1rth_A 21.8% -------------------------SPIETVpkLkkQWPLTEEK-------IKAL-VEitEMeiSKIGPENpnTPvrklGIPHPAGLKKKKsdVGdpLDEdiNNETPGI--RYQYNVlqGWKGSPAIFQSSMTkePFRKQNPDIVIYQYMDdeIGQHrkIEELRQHLLRWG--LTTPDKKHQ------KEPPFLWmlHPDKWtpIVLPEK-DSWTVNDIQK-----LVGKLNWASQitKALTEVIPLTEEAELEleNREIlvHGVY--YDPSKDLIAEIQK-QGqtYQIYqkNLKTgyARMRGAHTNDvqLTEAVQKITT----ESIVI-----WGKTpkLpeTWWTEYWQATWIPEWEFVNTpyqePIvyVDG-------AANRETKLGKAGYVTNRglALQDSGLEVN------ 18 1sqc 22.5% ---RRYLLHEQREDGTWALYPgdLDTTIEAYVAL-KYIGMSRDEEP--MQ--KALRfvFTRMWLALVGEYpeKVPMVPPEigKRMPLnwARATVVALSIVMSRQPVFPLPER--ARveLYETDV-------PPRRRGAKGGGGWI-FDALDRALhyfRRAAEIrdWLlqAGdaLKILDMTqaFiwEGL-ELYGVELDYGgsISPvvLALRalPADHDRLVK-AGEWL---LDR--QITVPGDWAVKrlKPGGFAFQFDNVYYPDVDDTAVVVWAL-N---------------TLRLPDerRRDAMTKGFRWIVGMQSSNGGwhIpdfvTDPPSEDVTAHVLECFGSFGYDdkVIRRAVE-YLKREQKPDGSWFG-------------RWGV-NYLYGTGaaLKAVGIDTREPYIQK 19 1dmr 18.3% LLRRMLTLAGgvNGadYSTGAAQvpHVVGTLeeQQTAWPVLAENTEVmaDPIKTSQivIPEhylEALKAKGTkdPVrkPQTDVAIMLGMaaEDLYDklDGETdsGVPAETIKELARLftMLAAGWSmrMHHGEQAHWMLVTLASM-LGQIGLplSYHYstPSTSGPALAggGAATKGPEWlaSVIPVAreNPGAEFDFNGTRsdVKMAYWVGgpFVHHQDRNRMvwlETFVVHDFQWTPTARHA-DIVLPATTSYERNDIETIgsNTGILAMKKIVEPLYEAR-SDYDIF--------AAVAERLGKGAEFTEG--KDEMGW-IKSFYDDAAKQGKAAGvmpdFVRYASfdPLllGTPTGLIEIYseKMGY------DDC----PAHPTWMEPllDGPG-AKYPLHIAanRLHSQ- 20 1yge 21.0% -INTSLPTLGAGESA-FnhFEWDGSMGIPGAFYIKNYmsLTLesNQGTIRFvkSVrfANHTYVPslVsrEEELKSLRGNGTGERKEYDrvYNDLGNPDkeKLARPVLgsTFPYPRRGRttVTDPNtfYVPRDENLGHL-KSKDALelSQieSAFD-LKSTpsFQDvlYEGGIKlvIStiPLPViiLKFPQ-PHV--VQV-SQSAWMTDEEFAREmvngLEEFPPKslDPAidQSSKITADSLDLDGYTMDE--ALGSRRLFMLDYHdyVRQINQLNskTYATrlKPVAisAGDLSAAVSQVVLPAKEGVetIWLLAknDSCYhmEPFVIATH---RHLSVlpHYRNNMNINAlsLINANGIIETTFLPSKYSVEMSSAVY--KNWVfkRGVagvlLIEDYPYAADGLeaIKTWVQE 21 1oac_A 21.7% --NNKLLSWQPIKDAhlDDFA-SVQNIINNSEEfkKVipLTvdGKDGLKQDARLLKV-IS--YLDVGDGNYWAHPIENLVAVVDLEQKKIVKIEEGPV-----VPVP-MTAR-pdRvmQIIEPEGKNytGDMIHWR---NWDFHLSmsRVGPMISTvnDNGTKRKVMYEggdaYLDSGdtLTSPIARGKDAPSNAVltIADYTGV--PMEI-PRAIAVFERYapEYKHQEMGQPNVSTERRELVVRWIsdAG-ATGIEAV--KGVK-----AKTMHDETAKDDTR--ylIDHNI-VGTThfRLDLD-----VDG--ENNSLVAMDPVVKPNTAGGPRTSTMqqYNIGNEQDAA--QKFdgTIRLLsnPVSYqaGGTHPVAKGAqiYHRLsvTRYHPGERF---PEGKYPNRSTHDT consensus/100% ..............................................................................................................................................................t.....t..h....................................................................................................................................h.........................................................................................h......................... consensus/90% ............................tt..t..t......t.........p.....h......h.t.......h....h.t.h.h...ht...t.....................h......................s...h.ht.h........t.....phhh.th...hh.....t.....h.t.........t...s.....t....h.t...t.....h................h...h.......tt..h.h...........th.....t...........t...t...h...................................t...h.t........th...t.......h......................th.h...h...t......th......... consensus/80% ...........h..s.ht.....h.thhtsh.t..ph..h.hp.t.hh.p.hpth..sht....thht.ts.tt.h.t..h.pththt.hhtsh.s.h.t..tt.h..h..p..ttshhhhs.............t....s...h.httht...thhtp..phtchhhtst.thhh..tt.t.h...h.t..th..h.htt.sshhhs.ph..thhphhtt...hhh...ht...thh.t.t.s...l.t..h.httpthhhtthtt.....pph.t..ht.php.......p..ht.tth...h.t..p.h.....t.....h..h.ht...t..th.hh.ph.h....sthh..pht.h.thh.t..t.............pth.thsh.shh...sh.h...tht........ consensus/70% .t.th.hht.htts.hpth...ltphhtsstthtphh.hshptttth.pshpslphshs...hshhp.ps.tp.lpt.shspthththsstshts.lhpt.pttl.ths.phsppshhhhss..shh.....p.th..ts.shh.htthttshphhtpt.phtclhhtuttthhlttpphthhh.hl.phsththhthsshssshhspcht.phsphhtp..shhhth.hs..tphstttpps.thltsshhshspptlhhpthps.h..hpphhsthsthphps....t.shthshtth.tshtpshchhpthtttpshhthtshhhts.ttttpt.hh.phhhstt.stshhtshpthhpthpt..pah......h....pthhphslsshh.stuhsht.hsht.tt..h.. |
HSSP HOMOLOGY DERIVED SECONDARY STRUCTURE OF PROTEINS , VERSION 1.0 1991 PDBID predict_h14877 DATE file generated on 26-Jun-00 SEQBASE RELEASE 38.0 OF EMBL/SWISS-PROT WITH 80000 SEQUENCES PARAMETER SMIN: -1.0 SMAX: 2.0 PARAMETER gap-open: 2.0 gap-elongation: 0.2 PARAMETER conservation weights: NO PARAMETER InDels in secondary structure allowed: YES PARAMETER alignments sorted according to :ZSCORE THRESHOLD according to: ALL REFERENCE Sander C., Schneider R. : Database of homology-derived protein structures. Proteins, 9:56-68 (1991). CONTACT e-mail (INTERNET) Schneider@EMBL-Heidelberg.DE or Sander@EMBL-Heidelberg.DE / fax +49-6221-387306 AVAILABLE Free academic use. Commercial users must apply for license. AVAILABLE No inclusion in other databanks without permission. HEADER predict_h14877.phdRdb COMPND SOURCE AUTHOR SEQLENGTH 416 NCHAIN 1 chain(s) in predict_h14877 data set KCHAIN 1 chain(s) used here ; chain(s) : A NALIGN 20 NOTATION : ID: EMBL/SWISSPROT identifier of the aligned (homologous) protein NOTATION : STRID: if the 3-D structure of the aligned protein is known, then STRID is the Protein Data Bank identifier as taken NOTATION : from the database reference or DR-line of the EMBL/SWISSPROT entry NOTATION : %IDE: percentage of residue identity of the alignment NOTATION : %SIM (%WSIM): (weighted) similarity of the alignment NOTATION : IFIR/ILAS: first and last residue of the alignment in the test sequence NOTATION : JFIR/JLAS: first and last residue of the alignment in the alignend protein NOTATION : LALI: length of the alignment excluding insertions and deletions NOTATION : NGAP: number of insertions and deletions in the alignment NOTATION : LGAP: total length of all insertions and deletions NOTATION : LSEQ2: length of the entire sequence of the aligned protein NOTATION : ACCESSION: SwissProt accession number NOTATION : PROTEIN: one-line description of aligned protein NOTATION : SeqNo,PDBNo,AA,STRUCTURE,BP1,BP2,ACC: sequential and PDB residue numbers, amino acid (lower case = Cys), secondary NOTATION : structure, bridge partners, solvent exposure as in DSSP (Kabsch and Sander, Biopolymers 22, 2577-2637(1983) NOTATION : VAR: sequence variability on a scale of 0-100 as derived from the NALIGN alignments NOTATION : pair of lower case characters (AvaK) in the alignend sequence bracket a point of INSERTION IN THIS sequence NOTATION : dots (....) in the alignend SEQUENCE INDICATE POINTS of deletion in this sequence NOTATION : SEQUENCE PROFILE: relative frequency of an amino acid type at each position. Asx and Glx are in their NOTATION : acid/amide form in proportion to their database frequencies NOTATION : NOCC: number of aligned sequences spanning this position (including the test sequence) NOTATION : NDEL: number of sequences with a deletion in the test protein at this position NOTATION : NINS: number of sequences with an insertion in the test protein at this position NOTATION : ENTROPY: entropy measure of sequence variability at this position NOTATION : RELENT: relative entropy, i.e. entropy normalized to the range 0-100 NOTATION : WEIGHT: conservation weight ## PROTEINS : EMBL/SWISSPROT identifier and alignment statistics NR. ID STRID %IDE %SIM IFIR ILAS JFIR JLAS LALI NGAP LGAP LSEQ2 ACCESSION PROTEIN 1 : 1ahp_A 0.33 0.00 2 416 138 682 396 49 172 796 MOL_ID: 1; 2 : 5eat 0.27 0.00 3 414 20 522 391 32 133 532 MOL_ID: 1; 3 : 1pys_B 0.31 0.00 4 415 70 604 389 40 191 785 MOL_ID: 1; 4 : 1ksi_B 0.29 0.00 1 414 67 637 405 35 175 642 MOL_ID: 1; 5 : 1hkc_A 0.28 0.00 2 416 178 674 390 42 164 899 MOL_ID: 1; 6 : 1pkl_A 0.27 0.00 3 416 6 472 377 37 131 492 MOL_ID: 1; 7 : 1gln 0.29 0.00 2 415 16 464 373 41 119 468 MOL_ID: 1; 8 : 1bgv_A 0.27 0.00 24 410 4 425 356 31 119 449 MOL_ID: 1; 9 : 1csh 0.28 0.00 9 409 4 430 361 33 134 435 CITRATE SYNTHASE (E.C.4.1.3.7) COMPLEXED 10 : 1req_B 0.30 0.00 12 411 80 564 382 44 139 619 MOL_ID: 1; 11 : 1taq 0.31 0.00 2 416 215 766 391 42 189 808 MOL_ID: 1; 12 : 1bfd 0.27 0.00 1 416 3 508 394 40 164 523 MOL_ID: 1; 13 : 1aom_B 0.26 0.00 3 416 14 545 391 37 168 559 MOL_ID: 1; 14 : 1cii 0.27 0.00 2 415 9 511 398 37 147 602 MOL_ID: 1; 15 : 1gal 0.27 0.00 1 414 91 561 384 38 129 581 GLUCOSE OXIDASE (E.C.1.1.3.4) 16 : 1rth_A 0.32 0.00 26 410 3 494 352 41 193 543 MOL_ID: 1; 17 : 1sqc 0.32 0.00 4 416 56 509 365 38 147 619 MOL_ID: 1; 18 : 1dmr 0.29 0.00 1 415 126 649 390 41 159 779 MOL_ID: 1; 19 : 1yge 0.29 0.00 2 416 67 627 402 45 174 839 MOL_ID: 1; 20 : 1oac_A 0.29 0.00 3 416 167 658 379 41 158 720 MOL_ID: 1; ## ALIGNMENTS 1 - 20 SeqNo PDBNo AA STRUCTURE BP1 BP2 ACC NOCC VAR ....:....1....:....2....:....3....:....4....:....5....:....6....:....7 1 1 M 0 0 152 5 20 I V L L 2 2 I 0 0 0 11 25 L II V LH VI LI 3 3 N 0 0 56 15 31 NN NKNG KGDnR RNN 4 4 R 0 0 89 17 50 YQRSKLT LTNpS RRTN 5 5 R H 0 0 121 17 46 QVTqrTA STRRG RMSK 6 6 Y H 0 0 0 17 40 YAVhyLy WYYVN YLLL 7 7 E H 0 0 69 17 39 GEEEdSa DEeDG LTPL 8 8 L H 0 0 0 17 30 LKVIiIL LLlVl LLTS 9 9 F H 0 0 0 17 40 fY.LVFF L ALaFs HALW 10 10 K 0 0 100 16 45 kA.IAD. K KRqHT EGGQ 11 11 D 0 0 79 16 44 QQ.nVPN D V.DGL QgAP 12 12 V 0 0 0 18 35 VEVvVVY vVR.vTV RvGI 13 13 S 0 0 63 17 43 EISSN.A eRT.sPN ENEK 14 14 D 0 0 79 17 37 AEGDD.W QNd.DPG DGSD 15 15 A H 0 0 51 18 25 pAANtAA AGv.AAG GaAA 16 16 D H 0 0 58 16 45 dLEIgNR RDD.Q.T Td.h 17 17 W H 0 0 0 17 34 wK.HYYR IMF.Yww WYFl 18 18 N H 0 0 76 17 37 sE.NDRN KDA.Nnr ASnD 19 19 D H 0 0 79 17 43 NQ.GDAG TAK.eEP LThD 20 20 W H 0 0 0 16 50 YT.YQAG F.R.iwH YGFF 21 21 R H 0 0 0 16 44 PR.GHRR R.R.YrK PAEA 22 22 W H 0 0 81 16 53 wS.FCiF QWE.FSA gAW. 23 23 Q H 0 0 0 18 40 dMNPEtI QDP.eDQ dQDS 24 24 V H 0 0 0 19 29 VlAIVIVVHVD.vIV LvGV 25 25 R H 0 0 89 19 46 QrRLGGrDGRRRLE. DpSQ 26 26 N H 0 0 76 21 47 VnKSLPdRNAEQRKDSTHMN 27 27 R H 0 0 89 20 49 GLGVISrV.LRGKRSPTVGI 28 28 I H 0 0 0 20 36 iIIDITvI.HLIGDWIIVII 29 29 E 0 0 95 21 37 gDGEGQPATERDAKEEEGPN 30 30 T 0 0 51 21 39 AIVQtSGEADATTETTATGN 31 31 V H 0 0 22 21 40 VIASmVAVVPFvGIvVYLAS 32 32 E H 0 0 95 21 44 TELLEEEEGDLnKTdpVeFE 33 33 E H 0 0 95 20 38 KRAAEAe.QEEEAANkAeYE 34 34 L H 0 0 0 18 32 DLlILLl...RLLYVLLQIf 35 35 K H 0 0 73 17 40 GGgk.KaK..LptKAk.QKk 36 36 K H 0 0 100 20 39 RITkRGkK.KErdNAkKTNK 37 37 Y H 0 0 55 20 42 WSEYHLWY.FFYYTYQYAYV 38 38 I H 0 0 0 17 43 EYLPIIL...GILl.WIWmi 39 39 P 0 0 66 16 36 pHpPDqG...S.qa.PGPsp 40 40 L 0 0 0 19 25 iFlfLfL.ITLLiQ.LMVLL 41 41 T 0 0 51 20 44 TEGvVSS.TRLATQSTSLTT 42 42 K H 0 0 100 20 52 GKQK.HYAVKHLYKLERALv 43 43 E H 0 0 95 20 28 QEKKEGDDDA.QAEQEDEed 44 44 E H 0 0 95 20 46 aIVRGSEEMI.eSNAKENsG 45 45 E H 0 0 95 20 43 rDGGDHGPSLEaPEE.ETNK 46 46 E H 0 0 95 20 43 NEELEEPEYEFDANR.PEQD 47 47 G H 0 0 41 19 42 GIRNGYDFGGGGGKA..VGG 48 48 V H 0 0 0 18 41 VLVL.HVVGLLYMRR..mTL 49 49 A H 0 0 51 18 45 ADIS.QA.MELAPTA.MaIK 50 50 Q H 0 0 97 19 34 QqQE.TAQRREQNEP.QDRQ 51 51 C H 0 0 0 18 50 PcGI.TPTGGSAWAN..PFD 52 52 V H 0 0 0 19 39 LTVv.ItVMVPSGGAI.IvA 53 53 K 0 0 100 20 33 RSRs.NqEKTKrTKKKKKkR 54 54 S 0 0 63 18 39 .ASS.NSEGSAnsR.AATSL 55 55 L 0 0 0 19 23 LLFF.VEVLLLLlL.LLSVL 56 56 R E 0 0 89 19 44 WqGTRRRL.LEhqSQ.RQrK 57 57 M E 0 0 0 20 43 QfMmMQLS.LEaVAIVfifV 58 58 A 0 0 38 19 39 ANAnCAPS.RAADAAEvvA. 59 59 I 0 0 0 21 37 TILVIAlLIVPGLIAiFINI 60 60 T 0 0 35 20 47 HSSRNAtG.DWTMAGtTPHS 61 61 P H 0 0 66 19 38 APPTTEPP.PpGAAHERET. 62 62 Y H 0 0 55 18 51 HERVELE.Y.fNNRYMMhY. 63 63 Y H 0 0 0 18 54 PIERWGE.E.VAY.FeWyVY 64 64 L H 0 0 0 18 33 FFlLGVL.T.LmL.NiLlPL 65 65 S H 0 0 46 18 34 DsgdANE.SDSa..aSAEsD 66 66 L 0 0 0 20 40 LfLfFiQVVARLL.hKLAlV 67 67 I 0 0 0 20 41 TQLMGlIVLIKSL.AIVLVG 68 68 D 0 0 79 20 33 KDeKDDRDDAEND.GGGKsD 69 69 P 0 0 87 21 41 FEpEDTKAPPpAPEPPEArG 70 70 N 0 0 127 20 45 NNESGKEH.EaWAKREYKEN 71 71 D 0 0 40 21 41 DgdTSGKPDHANADDNpGEY 72 72 P 0 0 110 20 48 .apVLPGEELRSPETpeTEW 73 73 N 0 0 127 21 44 GSGnEeGYGDGHPNGnKkLA 74 74 D 0 0 58 20 42 DdTrDdYEIEGSE.dTVdKH 75 75 P 0 0 0 19 45 FhPP.ADERVRPF.aPPPSP 76 76 V E 0 0 0 19 27 LVLI.VGvFLVlG.VvMVLI 77 77 R E 0 0 89 19 43 rRST.MReRSHqM.ErVrRE 78 78 K E 0 0 0 18 42 qT.G.EARGDRTK.DkPkGN 79 79 Q E 0 0 0 19 50 QHEI.RRMFVARE.RlPPNL 80 80 A E 0 0 0 19 41 GaAT.GNVSLPA.TGGEQGV 81 81 I 0 0 0 21 36 ilWIIAIIILEmMLVIiTTA 82 82 P 0 0 48 21 42 hEPVRTpPPepvRKPPgDGV 83 83 T 0 0 51 21 41 TDeATCeeEtkEETTHKVEV 84 84 A H 0 0 51 21 46 aAaDEYAvCKAASLKPRARD 85 85 L H 0 0 80 21 40 lLLLfVEIQVlLWRKAMIKL 86 86 E H 0 0 95 21 40 RaGDeTEEKEdLKADGPMEE 87 87 L 0 0 0 21 36 LlLLITRFLvLTVGFLLLYQ 88 88 N 0 0 56 21 46 MELMDDARLqKNHNgKnGDK 89 89 K 0 0 100 21 49 qSGKRPRVPGEVVAhKwMrK 90 90 A 0 0 51 21 43 sALIGARPKAaDADGKAavI 91 91 A 0 0 51 21 45 VAAVSFGWAAaAPAVKRaYV 92 92 A 0 0 51 21 41 APReLAEEGAKAEASsAENK 93 93 D 0 0 79 21 31 dHDdNdpDGEDNDdMdTDDI 94 94 L 0 0 80 21 41 lLlIPtlDGAlLRlFVVLLE 95 95 E 0 0 157 21 46 AKeEGKKNELdPPQPGVYGE 96 96 D 0 0 58 21 41 gSAaKDVGEVDRTANdADNG 97 97 P 0 0 34 21 38 ePApQKPKPSpPQETpLkPP 98 98 L 0 0 80 21 34 LLLTLFRVLVllQLLLSlDV 99 99 H 0 0 90 20 52 HRkAFYPHPYLyMRHDIDk. 100 100 E 0 0 95 20 27 EEeEEIGVeEDeNeEEVGe. 101 101 D 0 0 79 20 43 LQDNKDTNpRPaDgddMEK. 102 102 T 0 0 69 20 46 AVPTMYTTTSSSWFsiSTL. 103 103 D 0 0 79 20 39 DTEeVqeGPDNADRDNRdA. 104 104 S 0 0 63 21 50 YHGsSsdYEKTALTANQsRV 105 105 P 0 0 66 21 38 EAAPgKERQPTEeEAEPGPP 106 106 V 0 0 0 20 30 VL.PvvLvVAPVlIRTVVVV 107 107 P 0 0 0 21 50 IEPFRpRgSKEpFAEPFPLP 108 108 G 0 0 0 20 42 QQHgLGGGWDGgSGWGPAg. 109 109 L 0 0 0 21 36 LCFlINvLVLVlVYLILEsM 110 110 T 0 0 0 19 45 NLTTLYn.SAASTDL.PTTT 111 111 H E 0 0 0 19 51 DHLSVIQ.KLRVLaP.EIFA 112 112 R 0 0 89 21 41 TKGHKYERENRPRrNRRKPR 113 113 Y 0 0 0 19 46 HGYQMIIFWLyYDLYY.EY. 114 114 P 0 0 21 20 40 PVaPADPAAggDAHQQ.LPp 115 115 D 0 0 0 21 43 tPqQKDDPKdEDGTRYAARd 116 116 R E 0 0 39 20 37 rRRGEG.SRPRWQEPNRRRR 117 117 V E 0 0 0 21 38 VvAPGIVVAiADISNVvLGv 118 118 L E 0 0 0 21 48 LrLGLLVNAaAKARLlefRm 119 119 L E 0 0 0 21 36 IFFFLILLlLlDLMQqLttQ 120 120 L E 0 0 0 21 46 DFaQflLSvQlAiLVGYMtI 121 121 I E 0 0 0 21 41 EIvIivKIVGFDiFLWELVI 122 122 T E 0 0 51 21 39 HSVNTTSMTtAPtATKTATE 123 123 D 0 0 0 19 39 Q.DGPNDKMdNQVD.GDADP 124 124 M 0 0 47 18 48 M.VH.SGFLLLSLA.SVGPE 125 125 C E 0 0 0 17 54 S.TS.HYLDTwHDD.P.WNG 126 126 S E 0 0 0 20 49 WSnVETPGNVwHTSGA.StK 127 127 M E 0 0 0 20 42 DImSLITFFLLLGLQI.mfN 128 128 Y E 0 0 0 17 37 DYLWLSY...YFYRYF.rYy 129 129 C E 0 0 0 14 46 ADEA.D.....DAIVQ.MVt 130 130 R E 0 0 0 15 45 WKrN.R....RRVSGS.HPG 131 131 H E 0 0 0 16 45 AEhW.r...GEHHPKS.HRD 132 132 C E 0 0 0 17 50 IQAK.c...DVVIRVMPGDM 133 133 T E 0 0 0 18 50 TSFFTD...WESSELTPEEI 134 134 R E 0 0 0 19 47 SKDHRV.E.VRSRALkRQNH 135 135 R E 0 0 89 19 51 KnLIGD.Q.RPsLRSeRALW 136 136 R E 0 0 62 20 46 TrRGKLHA.RLrSSQPRHGR 137 137 F 0 0 0 18 37 FFFFFPLF.LSLAL.FGWH. 138 138 A 0 0 0 17 41 AAVD.AA..AANSINRAML. 139 139 G 0 0 41 18 48 YKGVNVNK.KVDGEGKKL.. 140 140 Q 0 0 97 20 50 TLERTSVD.FLQRQTQGVKN 141 141 S 0 0 105 21 44 NDGASAVSPSADYATNGTSW 142 142 D 0 0 132 20 51 HFIGDKDLTPHL.EPPGLKD 143 143 D 0 0 79 20 46 TNaIVDDTNDMD.KRDGADF 144 144 S 0 0 83 21 51 LLaVSRHTLSEILRAIWSAH 145 145 M 0 0 67 20 37 MLRI.VLLHRALFqVVIMLL 146 146 P 0 0 66 18 44 pQESAD.PPATVVdGI..eS 147 147 M 0 0 92 20 33 lmGLILMMMVG.IAVYFLlm 148 148 E H 0 0 95 20 37 EsEAEqGGSTV.GQeQDGSs 149 149 R H 0 0 121 19 46 RRRSkgVGQ.R.RNgYAQQR 150 150 I H 0 0 0 20 41 WWLIlVTALIL.DATMLIiV 151 151 D H 0 0 58 18 36 DW..HEdKSDD.GdHDDGeG 152 152 K H 0 0 100 19 43 .KK.NQrGAAVKkkKdRLSP 153 153 A H 0 0 0 18 34 .DT.AGAGANAAmA.eApAM 154 154 I H 0 0 0 18 35 VLL.KVESII.LIA.ILlFI 155 155 D H 0 0 0 18 35 KDD.EdEDTY.NdD.GhSDS 156 156 Y H 0 0 0 19 45 LFGYIfWFAHYSwM.QyY.T 157 157 I H 0 0 0 20 41 VVVDLILDLNLAML.HfHLv 158 158 R H 0 0 89 21 49 KTELTRVPNARSKAGrRYKn 159 159 N H 0 0 76 21 40 gTRErSSNSGaNEENkRsSD 160 160 T 0 0 22 21 46 lLTKeATGEAsPPYTIAtTN 161 161 P 0 0 66 21 44 PPLHpEPKSGLATEHEAPpG 162 162 Q 0 0 97 20 47 RYHKsQ.SNDEITRNEESsT 163 163 V 0 0 0 20 45 HAPSVV.DFVvvVRvLITFK 164 164 R E 0 0 89 21 44 MRERQGIRAArpAKhRrSQR 165 165 D E 0 0 79 21 31 QDDRHDHEREeDEGEQdGDK 166 166 V E 0 0 0 21 33 IRLVvVVVAlVVIIVHWPvV 167 167 L E 0 0 0 21 35 iVVLiRLmYlFDKlLLLAlM 168 168 L E 0 0 0 21 41 iVIYVKLvAARAIlLLlLYY 169 169 S 0 0 0 20 46 NEAKSaYPETLA.sARqAEE 170 170 G 0 0 0 21 37 TCggFgRAGGANGgAWAgGg 171 171 G 0 0 0 20 40 RYgiRR.GIAGASGGGGgGg 172 172 D 0 0 40 19 44 FfESSD.DNeHNEAS.dGId 173 173 A H 0 0 0 19 31 KaEEAIA.RaPaAAA.aAKa 174 174 L H 0 0 0 20 39 TLSLNMFLtLfvRL.LLAlY 175 175 L H 0 0 0 20 45 LGfFLIGGfvlMSA.TKTvL 176 176 V H 0 0 0 21 32 VVvvViWVVvNLIVVTIKID 177 177 S 0 0 46 20 50 .YRqAnEGYTSAELSPLGSS 178 178 D H 0 0 79 19 43 EFED.HAAEAR.TDPDDPtG 179 179 E H 0 0 95 21 43 KEDPAQPRDTDESATKMEid 180 180 T H 0 0 69 21 46 TPTTTGREAHQRKQIKTWPt 181 181 L H 0 0 0 19 38 w..ELVFIMDLLMQLHqlLL 182 182 E H 0 0 69 20 34 eQEEGQ.GDQEKeAEQaaPT 183 183 Y H 0 0 0 18 49 KYAFANYY.FR.yRy.FSVS 184 184 I H 0 0 0 19 36 VSIYIIHMLlV.ALi.iViP 185 185 I H 0 0 0 18 41 WQA.LDMYIil.IlL.wIiI 186 186 A H 0 0 51 19 40 AAL.NSPGAAlAAnE.EPLA 187 187 K H 0 0 73 19 46 KrE.RILQKRGPgKP.GVKR 188 188 L H 0 0 0 20 27 LvVFLILYLLLViLL.LAFG 189 189 R H 0 0 121 17 38 .KAKRERR.RPWMS.K.rPK 190 190 E H 0 0 95 20 41 ATCTdENK.AAVDSGEEeQD 191 191 I 0 0 0 19 45 VIFFtSPI.LIAGvIPLN.A 192 192 P 0 0 0 19 44 VSDFPDD.P.GPEeDPYPPP 193 193 H 0 0 0 20 50 HMPDRGK.CRKSTSTFGGHS 194 194 V E 0 0 0 21 40 DIVSlITVvETALLVLVAVN 195 195 E E 0 0 0 20 47 KSSGtMKGnAEPENVWEE.A 196 196 I E 0 0 0 19 49 QIiETVI.LWKRPTDmLF.V 197 197 V E 0 0 0 20 50 VvrFVAS.YATCKALlDDVl 198 198 R E 0 0 0 20 48 HeRGGrK.RRGPKRPHYFQt 199 199 I E 0 0 0 20 47 MLHFvlR.AIKFINVPGNVI 200 200 G 0 0 0 20 30 AEGGgGKGGGRPQagDgG.A 201 201 S 0 0 0 21 45 NALLsVSFSESTstdKsTSD 202 202 R 0 0 62 21 50 LYRSkEHYSVTRrRQWIRQY 203 203 T 0 0 0 21 40 CTtTTITNIFSHVATtSsST 204 204 P 0 0 0 21 39 VDpVHpSGGGApAETpPdAG 205 205 V E 0 0 0 20 41 vAlSPvlV.VAgAQAIvVWV 206 206 V E 0 0 0 20 41 vIvLQVyLADVLIQTVvKM. 207 207 L 0 0 0 20 43 AQPIYVKtIELMLlVLLMT. 208 208 P 0 0 0 21 37 ARAPSAAaDDePAqRPAADP 209 209 Q 0 0 97 20 48 .WQNRQERSKeASQSELYEM 210 210 R H 0 0 62 20 37 .DRRRKGSKrKGHKRKRWEE 211 211 I H 0 0 0 20 37 LIRDFIFFliIIYNI.aVFI 212 212 T H 0 0 0 19 51 HNACHLLGstl.RTTDlGA. 213 213 P H 0 0 66 21 44 SeLPKIPGHrrAPPSSPgRP 214 214 E H 0 0 95 21 43 DrSPTSESNEEAeDAWApER 215 215 L H 0 0 0 20 42 LLLHLK.LFlLIiGGTDFmA 216 216 V H 0 0 0 20 43 vPLARC.VTvTSVKAVHVvI 217 217 N H 0 0 76 19 35 dDQQRN.rNNKQNT.NDHnA 218 218 M H 0 0 0 20 46 LYAFLVAeMILLVI.DRHgV 219 219 L H 0 0 0 19 33 FMlIVALALLKL.v.ILQLF 220 220 K H 0 0 100 20 43 PKaDPGRTGRSE.eGQVDEE 221 221 K H 0 0 100 21 45 EIRTDKNGYGTGKKQKKRER 222 222 Y 0 0 35 18 46 YSVyS.YYTSyHEFG..NFY 223 223 H 0 0 46 18 47 HYAtD..GDIhdTPQ.ARPa 224 224 P 0 0 66 19 38 QKEPVP.SpAppGgA.GMPp 225 225 V E 0 0 0 20 45 LAAIRVLvlTgVKvA.EvKE 226 226 W E 0 0 0 20 37 WILLFICyYFRFISW.WwsY 227 227 L E 0 0 0 20 34 PLLlLCLVL.LRLGFLLllK 228 228 N E 0 0 0 18 45 NDEn.A.ETSHYLDAV.EDH 229 229 T E 0 0 0 19 46 KLAI.TMAIATHVPTG.TPQ 230 230 H 0 0 0 18 54 FYGM.QGVHSRQDR.K.FAE 231 231 F 0 0 0 20 41 HKsW.MFMSVFYYFFLLViM 232 232 N 0 0 0 20 42 NDkR.LSKDGNDTANNDVdG 233 233 H 0 0 0 18 48 VYPh.EMHHGQ.DG.WRHQQ 234 234 P 0 0 0 17 40 TEPp.SPEEA.PLT.A.DSP 235 235 N H 0 0 76 18 43 NKEN.MdNGE.GNIES.FSN 236 236 E H 0 0 69 19 41 GEAE.TeDGS.QNKTQQQKV 237 237 I H 0 0 0 20 38 ILISLYiTNI.YLIFiIWIS 238 238 T H 0 0 51 21 39 TSPISNlLVTTLKTGtTTTT 239 239 E H 0 0 95 21 46 PSFEEPEVStAKTTDKVPAE 240 240 E H 0 0 95 21 46 RaREsREGApTPTSYAPTDR 241 241 S H 0 0 0 21 48 rsPSsPFKHFAGEaSLGASR 242 242 T H 0 0 51 21 44 iHERGTITTTtTInETDRLE 243 243 R H 0 0 121 21 48 KIYTKRQVsQrrSRKEWHDL 244 244 A H 0 0 0 21 32 QVAEGAAAaALtAAAVAALV 245 245 C H 0 0 0 16 49 CCNVA...M.cCENHIV.DV 246 246 Q H 0 0 97 18 45 NHRNAE..N.pDRlEPKDGR 247 247 L H 0 0 80 18 43 .ALLMv..GlNPFlLLrIYW 248 248 L H 0 0 0 20 22 .ILIVvFLLlLLLLLTlVTI 249 249 A H 0 0 38 20 46 .EGVTATAAPQEHSNEKLMs 250 250 D H 0 0 79 21 45 PRTRANWGGENADHTEPPDd 251 251 A 0 0 0 21 43 AMSTVAEFPDIAGSKAGAEA 252 252 G 0 0 0 18 49 LK.IA.RgLDPRGGLEGT.G 253 253 V 0 0 0 19 46 AEYVYVVaHFvALLELFT.. 254 254 P E 0 0 48 21 44 AVPTRFSEGPpPDdQEASAA 255 255 L E 0 0 0 20 31 LVEVLNLLLlLM.lWlFYLT 256 256 G 0 0 0 21 35 LRAGAGGGArGGGNAeQEGG 257 257 N 0 0 0 21 42 DNEnEAGANNQdSDENFRSI 258 258 Q E 0 0 0 20 43 KYQpQD.KQTRaHRERDNRE 259 259 S E 0 0 0 20 45 SNISHCPAEG.SRnAENDRA 260 260 V E 0 0 0 20 28 LvAIRVVVVI.AYvVIVILV 261 261 L E 0 0 0 20 43 QfIAQMfTLVILFVAlYEF. 262 262 L E 0 0 0 20 40 KILLILlLLlRAITRvYTM. 263 263 R E 0 0 89 21 49 EEKSESRSWgRNTEGHPILK 264 264 G E 0 0 0 20 41 WGRGEGWG.RgLADGGDgDG 265 265 V 0 0 0 21 42 AYLITEMPLViVAVFVVsYV 266 266 N 0 0 0 20 45 NT.LLTNDSNAEnEHYDNHK 267 267 D 0 0 58 18 32 DPGeAAGG.dEEnGN.DTd. 268 268 C H 0 0 0 15 51 ..chHK.Y.yESKDT.TGy. 269 269 V H 0 0 0 16 48 ..lKFG.I.VGSLKTYAIV. 270 270 H H 0 0 90 19 50 .PRDHKKyQEWRVKADVLR. 271 271 V H 0 0 0 19 46 .VLELYYtLSLQVILPVAQ. 272 272 M H 0 0 0 21 44 LSEITPITQlLLIYLSVMIA 273 273 K H 0 0 100 21 41 DEEKKNREKkVPDNIKWKNK 274 274 E H 0 0 95 21 37 QYDeDEEEDEATTAQDAKQT 275 275 L H 0 0 0 21 33 LLLlMVVKLfLAKEYLLILM 276 276 V H 0 0 0 20 44 ISVHLVLIGvDAEVEI.VNH 277 277 N H 0 0 76 21 42 NNEGLQsNAEYPGAnANEsD 278 278 K H 0 0 100 19 45 .AEKEYeYDKSEKEwE.PkE 279 279 L H 0 0 0 19 41 LLVL.MEMALQPLWII.LTT 280 280 V H 0 0 0 20 43 VAAvVAVLSGIAVDVQ.YYA 281 281 K H 0 0 100 19 38 K.RgKRAEDGEKAKNK.EAK 282 282 I 0 0 0 18 43 l.IIKIEMEmLvILH..ATD 283 283 R 0 0 89 19 38 k.QYRCRRKhRreRNQ.RrD 284 284 V 0 0 0 19 42 FTGHMLVALVVLvQVG..lT 285 285 R 0 0 62 18 43 RT.DREKSRTLHHr.q.SKR 286 286 P E 0 0 0 18 38 DT.HAAPGDKAPPaAt.DP. 287 287 Y E 0 0 0 12 46 LY.F...R...ETVYY.YV. 288 288 Y E 0 0 0 16 48 yY.Y..FNYV.TfNSQ.DAy 289 289 I E 0 0 0 15 31 iY.I..LKIL.VvS.I.Iil 290 290 Y E 0 0 0 16 48 KLYY..RVWD.FWA.Y.FsI 291 291 Q E 0 0 0 17 39 QAEYEQEQNA.DAR.q..AD 292 292 C E 0 0 0 14 49 AT.LMSA..c.TtN.k..GH 293 293 D E 0 0 58 20 37 NTTDEAGDTeHLdNENT.DN 294 294 L E 0 0 80 19 35 .SIFLLLYLRLNDLLLL.LI 295 295 S 0 0 63 19 46 KYPDGNSaNASDSsFKR.S. 296 296 L 0 0 80 18 37 VLLIL.WfSK.MVllTL.AV 297 297 G 0 0 0 20 35 RGADrEEGgRGAAaggP.AG 298 298 L 0 0 0 20 44 LmlGlYSVvLDPllVyD.VT 299 299 E 0 0 95 21 37 AqaTPVEQPAEeeeAAeAST 300 300 H E 0 0 46 21 51 EDFhSFAFGNNyGNSRrAQh 301 301 F E 0 0 0 21 32 FFFffFYfYRLLHIfMRVVf 302 302 R E 0 0 62 19 48 .EPErN.eGKINPRlRRAVR 303 303 T E 0 0 0 20 51 VWAKTS.KHQREDNLGDELL 304 304 P 0 0 0 18 40 K.PTP..PAPVSNQPAARPD 305 305 V 0 0 51 19 44 VLDS..LWVIFTALFHMLAL 306 306 S H 0 0 63 18 47 RSNL..RG.TQSWSTTTGKD 307 307 K H 0 0 100 17 37 TKRKD.RQ.AETK.RNKKE. 308 308 G H 0 0 0 18 32 GNGTG.AK.VGTIGgDGGG. 309 309 I H 0 0 0 18 38 IPVVT.VV.SRALivvFAV. 310 310 E H 0 0 95 18 30 DKERE.ED.EDQDkHqREe. 311 311 I H 0 0 0 18 38 iIaIN.LI.FIMSIILWFt. 312 312 I H 0 0 0 19 46 iLeKGIMi..HWFALTITIV 313 313 E H 0 0 95 19 41 KEQDDKRk..TQPeDEVEWD 314 314 G H 0 0 41 19 48 R.RGFKPK.PERAekAGGLG 315 315 L H 0 0 0 17 21 l.LSLL.ILMTLLLlVM.L. 316 316 R H 0 0 89 17 46 r.RSAQRVRIANGK.QQ.A. 317 317 G H 0 0 41 18 47 E.EKL.FAKGSMGA.KSKkE 318 318 H H 0 0 66 20 48 NAVRD.DNTAWRGTHISDnN 319 319 T 0 0 0 20 47 PSLKL.TNDRMNsKHTNEDN 320 320 S 0 0 0 19 46 QVSSG..VPSFPsDFTGMSS 321 321 G 0 0 0 17 46 AIGYG..KR.GgQAA.GGCL 322 322 Y 0 0 0 16 39 DILWT..Yy..fyIY.wWYV 323 323 C 0 0 0 16 47 RcgTNH.Yc..CsND.h.hA 324 324 V 0 0 0 20 37 VtvTFILIQIVAVFP.IImM 325 325 P 0 0 0 21 44 pAYERPKEREPaATQEpKED 326 326 T 0 0 51 19 45 vTTtV.E.EtRgVtYSdSPP 327 327 F 0 0 0 19 19 FYYlL.F.FfEFFfFIfFFV 328 328 V E 0 0 0 19 42 LESVL.PVA.AADLlVvYVV 329 329 V E 0 0 0 21 43 FVFvVMEALPVLIKlITDIK 330 330 D E 0 0 58 20 42 GEMtKSKNKADPKSD.DDAP 331 331 A 0 0 0 20 41 AKDAIAAMHApAAVL.PATN 332 332 P 0 0 110 19 48 KSPVRD.PLPmAMSL.PAHT 333 333 G 0 0 68 18 44 AREgSE.TPARITEG.SK.A 334 334 G 0 0 41 18 39 AGDgGA.TSRRgGkQ.EQ.G 335 335 G 0 0 41 19 47 PQAYKV.NDKAeDgAWDG.G 336 336 G 0 0 21 20 46 gIRRKC.EpgAPgAAGVKRP 337 337 K 0 0 73 21 42 kARLRSRAkdKEkKAKTAHR 338 338 T E 0 0 0 21 45 NTFITSYLlStRTATTAALT 339 339 P E 0 0 0 21 49 IGRPVALRkEgQLEQpHGSS 340 340 V E 0 0 0 21 39 IiLAEVFFIVVVPQLkVvVT 341 341 M E 0 0 0 20 30 FmDIM.TlVFLiILALLmlM 342 342 P E 0 0 66 19 36 aRPPH.EpPE.aAARpEppq 343 343 N E 0 0 76 20 38 aDPAnNDNNQ.NERNeCdHq 344 344 Y E 0 0 0 20 44 DYRHySYMVLYYWE.TFFYY 345 345 V E 0 0 0 20 48 VGLPAVPVLmGSaM.WGVRN 346 346 I E 0 0 0 20 39 IIlLi.VVLtMIiAIWSRNI 347 347 S E 0 0 63 21 46 NSpLeYSAESsSTGSTFYNG 348 348 Q 0 0 97 20 42 N.LTEEEPQVqAEQNEGAMN 349 349 S 0 0 63 20 47 D.AELTKSGsSLGASYYSNE 350 350 H 0 0 90 19 53 p.PDFKAkKrFWQK.WDfIQ 351 351 D 0 0 79 20 35 dTEdDAQgAPPTPG.QddND 352 352 K E 0 0 73 21 36 kKKrHkRGKKKaRKGAkPAA 353 353 V E 0 0 0 21 40 vEAGIvKVNVvvVKATVLlA 354 354 I E 0 0 42 20 40 FAAAvVlLPFiIVIMWIls. 355 355 L E 0 0 0 19 35 LMLFiLlVWlEMQ.QIRlL. 356 356 R E 0 0 89 21 44 PARTSSPSPrKNGRTPRGIQ 357 357 N E 0 0 0 21 40 DKtNDNLGnDTNENYEATNK 358 358 F 0 0 17 19 32 yFfYF.LFhFL.fVFWVPAF 359 359 E 0 0 95 19 38 eQPNL.KESGe.dEAEETNd 360 360 G 0 0 0 18 31 KNGVD.E.GGgGGEGF.GGg 361 361 V E 0 0 0 18 47 LMLWY.L.VRY.TAeVYLIT 362 362 I E 0 0 0 18 35 iAVVM.YML.V.ELlNLIII 363 363 T E 0 0 0 20 45 aERTgTPSLEE.VKSTKEER 364 364 T E 0 0 0 21 47 DTVAtGRQQGTTWTApRITL 365 365 Y E 0 0 0 21 40 IALYFRLNYFLYFYWyEYTL 366 366 S 0 0 63 20 44 SWKNSSRSySF.SETqQsFs 367 367 E 0 0 69 19 44 EKERFAAEtSGG..EeKeLn 368 368 P 0 0 48 18 42 QD.TpRQREPRA..YPPKPP 369 369 I 0 0 82 18 39 II.EilELMVRL..iIDMSV 370 370 N 0 0 100 19 44 SN.KTkESnWRR.KnvGGKS 371 371 Y 0 0 79 18 25 .e.WWYWWyHYW.YYySYYY 372 372 T 0 0 51 18 47 Tt.ATRTTTIVF.RHVW.Sq 373 373 P 0 0 0 17 40 AP.GKPEA.APA.AGDF.Va 374 374 G 0 0 53 15 26 GV.Gg.AE.G.G.DVGG.EG 375 375 C 0 0 109 9 48 ...Lt.A..I...IG...MG 376 376 N 0 0 76 13 45 KSNYDNL..D...NT...ST 377 377 C 0 0 66 12 50 ETLVcCE..T....C...SH 378 378 D 0 0 79 15 33 AEDddpAE.PD...S..DAP 379 379 V E 0 0 0 18 31 SFLvVvLVVQLVV.M..DVV 380 380 C E 0 0 0 16 56 GLDWVcL.LVE.W.M..CYA 381 381 T E 0 0 69 15 46 TTRTttR.FEALN.P....K 382 382 G E 0 0 41 16 39 GPPKkRg.GGREG.KA...G 383 383 K 0 0 100 18 47 NIEQRLeDVgVAK.eA..KA 384 384 K 0 0 100 19 43 MLRNRQKSSeKEDKdN..Nq 385 385 K 0 0 100 20 46 KNarETGKRASNQKNR.PWi 386 386 V 0 0 69 20 43 LLlvECVLAFVVEIAE.AVY 387 387 H 0 0 66 19 52 AAFNFR.HLKRPSNAT.HfH 388 388 K 0 0 100 21 42 LrEkDQKQGKEGAARKRPkR 389 389 V 0 0 0 21 40 NvVvLlLVVSaLLKvLWTRL 390 390 G 0 0 0 19 28 gEggDgg..ggDVDgGGWGs 391 391 V E 0 0 0 21 28 tVliVVvMLvTVVRVKVMVv 392 392 A E 0 0 0 19 36 VTAMVEaTAAAP.AQA.EaT 393 393 G E 0 0 0 20 38 GYGPASgDQDAg.AGGNPgR 394 394 L E 0 0 0 20 36 TILLVVSILLDl.ILYYlvY 395 395 L E 0 0 0 20 39 LHLLVfLHiCLAV.RVLllH 396 396 N 0 0 76 20 51 DNFSnhEDrSMKD.VTYDLP 397 397 G 0 0 41 19 38 GLG.gDTGASKGD.INGGIG 398 398 E 0 0 95 20 47 ADETTEPSLALYK.DRTPEE 399 399 G 0 0 41 21 33 NGGSMgGAGKAGTAGgGGDR 400 400 M 0 0 0 18 37 VY.FmvlAFvMvLA.la.YF 401 401 A E 0 0 0 19 33 ET.EaAiAPavaEASAaAP. 402 402 L 0 0 0 18 36 iH.LY.LALQlLLLILLKY. 403 403 E 0 0 69 19 41 eP.REAAEeQEKKEPQKYA. 404 404 P 0 0 0 19 44 KE.PeGLRt.EAHSPDAPAP 405 405 V 0 0 69 20 43 VEVTvVLYA.MDVVTSVLDE 406 406 G 0 0 30 20 28 GVGnGEGGGGgN.KQGGHGG 407 407 L 0 0 0 19 26 .LLfTFKLLLlL.LMLIILK 408 408 E 0 0 95 20 38 E.PEGAEGEEQEISSEDAeY 409 409 R 0 0 62 20 51 E.WRSKRYKVVQKDSVTaaP 410 410 N 0 0 0 19 42 n.AnNSAN AHLDIHNRnIN 411 411 K 0 0 73 18 43 gKKpAKL KDKESV ERKR 412 412 R 0 0 89 17 50 HPERCGR EGRSM PLTS 413 413 H 0 0 66 17 51 THRDYYR LSLNT YHWT 414 414 V 0 0 0 17 27 VILVMVL VLVLV ISVH 415 415 Q 0 0 97 14 38 K S EQE LQTN QQQD 416 416 E 0 0 157 10 35 Q ET EEP K ET ## SEQUENCE PROFILE AND ENTROPY SeqNo PDBNo V L I M F W Y G A P S T C H R K Q E N D NOCC NDEL NINS ENTROPY RELENT WEIGHT 1 1 20 40 20 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 1.332 83 1.41 2 2 18 27 45 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 11 0 0 1.241 52 1.32 3 3 0 0 0 0 0 0 0 13 0 0 0 0 0 0 13 13 0 0 53 7 15 0 1 1.322 49 1.20 4 4 0 12 0 0 0 0 6 0 0 6 12 18 0 0 24 6 6 0 12 0 17 0 0 2.069 73 0.82 5 5 6 0 0 6 0 0 0 6 6 0 12 18 0 0 29 6 12 0 0 0 17 0 2 2.003 71 0.91 6 6 12 24 0 0 0 6 41 0 6 0 0 0 0 6 0 0 0 0 6 0 17 0 1 1.624 57 1.03 7 7 0 12 0 0 0 0 0 12 6 6 6 6 0 0 0 0 0 35 0 18 17 0 2 1.844 65 1.04 8 8 12 53 18 0 0 0 0 0 0 0 6 6 0 0 0 6 0 0 0 0 17 0 1 1.395 49 1.22 9 9 6 24 0 0 29 6 6 0 18 0 6 0 0 6 0 0 0 0 0 0 17 1 2 1.840 65 1.03 10 10 0 0 6 0 0 0 0 13 13 0 0 6 0 6 6 25 13 6 0 6 16 2 0 2.166 78 0.93 11 11 13 6 0 0 0 0 0 13 6 13 0 0 0 0 0 0 19 0 13 19 16 2 2 2.014 73 0.95 12 12 61 0 6 0 0 0 6 6 0 0 0 6 0 0 11 0 0 6 0 0 18 1 2 1.348 47 1.13 13 13 0 0 6 0 0 0 0 0 6 6 24 6 0 0 6 6 0 24 18 0 17 2 0 1.987 70 0.97 14 14 0 0 0 0 0 6 0 18 6 6 6 0 0 0 0 0 6 6 6 41 17 2 1 1.838 65 1.09 15 15 6 0 0 0 0 0 0 17 61 6 0 6 0 0 0 0 0 0 6 0 18 1 3 1.242 43 1.32 16 16 0 6 6 0 0 0 0 6 0 0 0 13 0 6 13 0 6 6 6 31 16 3 1 2.096 76 0.94 17 17 0 6 6 6 12 29 24 0 0 0 0 0 0 6 6 6 0 0 0 0 17 2 3 1.952 69 1.13 18 18 0 0 0 0 0 0 0 0 12 0 12 0 0 0 12 6 0 6 35 18 17 2 1 1.762 62 1.08 19 19 0 6 0 0 0 0 0 12 12 6 0 12 0 6 0 6 6 12 6 18 17 2 1 2.313 82 0.97 20 20 0 0 6 0 19 13 19 13 6 0 0 6 0 6 6 0 6 0 0 0 16 3 1 2.187 79 0.83 21 21 0 0 0 0 0 0 6 6 13 13 0 0 0 6 44 6 0 6 0 0 16 3 0 1.748 63 0.96 22 22 0 0 6 0 19 25 0 6 13 0 13 0 6 0 0 0 6 6 0 0 16 3 3 2.047 74 0.80 23 23 0 0 6 6 0 0 0 0 0 11 6 6 0 0 0 0 22 11 6 28 18 1 1 1.981 69 1.02 24 24 53 11 16 0 0 0 0 5 5 0 0 0 0 5 0 0 0 0 0 5 19 1 2 1.486 50 1.23 25 25 0 11 0 0 0 0 0 16 0 5 5 0 0 0 37 0 11 5 0 11 19 1 1 1.835 62 0.92 26 26 5 5 0 5 0 0 0 0 5 5 10 5 0 5 10 10 5 5 19 10 21 0 1 2.516 84 0.88 27 27 15 10 10 0 0 0 0 20 0 5 10 5 0 0 20 5 0 0 0 0 20 1 1 2.068 69 0.85 28 28 10 5 55 0 0 5 0 5 0 0 0 5 0 5 0 0 0 0 0 10 20 1 1 1.538 51 1.10 29 29 0 0 0 0 0 0 0 19 10 10 0 5 0 0 5 5 5 29 5 10 21 0 0 2.070 69 1.07 30 30 5 0 5 0 0 0 0 10 19 0 5 33 0 0 0 0 5 10 5 5 21 0 1 2.000 67 1.04 31 31 38 5 10 5 5 0 5 5 14 5 10 0 0 0 0 0 0 0 0 0 21 0 2 1.963 66 1.03 32 32 5 14 0 0 5 0 0 5 0 5 0 10 0 0 0 5 0 38 5 10 21 0 2 1.963 66 0.95 33 33 0 0 0 0 0 0 5 0 30 0 0 0 0 0 5 10 5 40 5 0 20 1 1 1.557 52 1.06 34 34 6 56 11 0 6 0 6 0 0 0 0 0 0 0 6 0 6 0 0 6 18 3 2 1.534 53 1.18 35 35 0 6 0 0 0 0 0 18 12 6 0 6 0 0 0 47 6 0 0 0 17 4 5 1.579 56 1.02 36 36 0 0 5 0 0 0 0 5 5 0 0 10 0 0 15 40 0 5 10 5 20 1 0 1.861 62 1.05 37 37 5 5 0 0 10 10 40 0 5 0 5 5 0 5 0 0 5 5 0 0 20 1 0 2.025 68 0.99 38 38 0 24 35 6 0 12 6 6 0 6 0 0 0 0 0 0 0 6 0 0 17 4 3 1.793 63 0.96 39 39 0 0 0 0 0 0 0 13 6 44 13 0 0 6 0 0 13 0 0 6 16 5 4 1.661 60 1.11 40 40 5 47 16 5 16 0 0 0 0 0 0 5 0 0 0 0 5 0 0 0 19 2 1 1.557 53 1.32 41 41 10 10 0 0 0 0 0 5 5 0 20 35 0 0 5 0 5 5 0 0 20 1 0 1.899 63 0.95 42 42 10 15 0 0 0 0 10 5 10 0 0 0 0 10 5 25 5 5 0 0 20 1 1 2.151 72 0.80 43 43 0 0 0 0 0 0 0 5 10 0 0 0 0 0 0 10 15 35 0 25 20 1 1 1.609 54 1.25 44 44 5 0 10 5 0 0 0 10 10 0 15 0 0 0 5 5 0 25 10 0 20 1 2 2.151 72 0.91 45 45 0 5 0 0 0 0 0 15 5 10 5 5 0 5 5 5 0 25 5 10 20 1 0 2.290 76 0.97 46 46 0 5 0 0 5 0 5 0 5 10 0 0 0 0 5 0 5 40 10 10 20 1 0 1.956 65 0.97 47 47 5 0 5 0 5 0 5 53 5 0 0 0 0 0 5 5 0 0 5 5 19 2 0 1.733 59 0.99 48 48 28 28 0 11 0 0 6 6 0 0 0 6 0 6 11 0 0 0 0 0 18 3 1 1.842 64 1.00 49 49 0 6 11 11 0 0 0 0 33 6 6 6 0 0 0 6 6 6 0 6 18 3 0 2.139 74 0.93 50 50 0 0 0 0 0 0 0 0 5 5 0 5 0 0 16 0 42 16 5 5 19 2 1 1.722 58 1.13 51 51 0 0 6 0 6 6 0 17 11 17 6 11 11 0 0 0 0 0 6 6 18 3 0 2.293 79 0.84 52 52 32 5 16 5 0 0 0 11 11 5 5 11 0 0 0 0 0 0 0 0 19 2 3 1.986 67 1.05 53 53 0 0 0 0 0 0 0 0 0 0 10 10 0 0 20 45 5 5 5 0 20 1 1 1.591 53 1.16 54 54 0 6 0 0 0 0 0 6 22 0 39 6 0 0 6 0 0 6 11 0 18 3 1 1.749 60 1.04 55 55 16 63 0 0 11 0 0 0 0 0 5 0 0 0 0 0 0 5 0 0 19 2 0 1.129 38 1.35 56 56 0 11 0 0 0 5 0 5 0 0 5 5 0 5 32 5 21 5 0 0 19 2 4 2.014 68 0.95 57 57 15 10 10 20 15 0 0 0 10 0 5 0 0 0 0 0 10 5 0 0 20 1 3 2.112 70 0.97 58 58 11 0 0 0 0 0 0 0 47 5 5 0 5 0 5 0 0 5 11 5 19 2 0 1.758 60 1.05 59 59 10 19 38 0 5 0 0 5 10 5 0 5 0 0 0 0 0 0 5 0 21 0 2 1.856 62 1.09 60 60 0 0 0 5 0 5 0 10 10 5 15 25 0 10 5 0 0 0 5 5 20 1 0 2.221 74 0.90 61 61 0 0 0 0 0 0 0 5 16 37 0 16 0 5 5 0 0 16 0 0 19 2 1 1.707 58 1.06 62 62 6 6 0 11 6 0 22 0 0 0 0 0 0 11 11 0 0 17 11 0 18 3 1 2.091 72 0.82 63 63 11 0 6 0 6 11 22 6 6 6 0 0 0 0 6 0 0 22 0 0 18 3 1 2.120 73 0.80 64 64 6 50 6 6 11 0 0 6 0 6 0 6 0 0 0 0 0 0 6 0 18 3 3 1.715 59 1.15 65 65 0 0 0 0 0 0 0 6 22 0 33 0 0 0 0 0 0 11 6 22 18 3 4 1.600 55 1.15 66 66 15 35 5 0 15 0 0 0 10 0 0 0 0 5 5 5 5 0 0 0 20 1 1 1.916 64 1.02 67 67 15 25 20 5 0 0 0 10 5 0 5 5 0 0 0 5 5 0 0 0 20 1 0 2.082 69 1.00 68 68 0 0 0 0 0 0 0 15 5 0 5 0 0 0 5 15 0 10 5 40 20 1 2 1.765 59 1.16 69 69 0 0 0 0 5 0 0 5 14 38 0 5 0 0 5 5 0 19 0 5 21 0 1 1.831 61 1.01 70 70 0 0 0 0 0 5 5 5 10 0 5 0 0 5 5 15 0 25 20 0 20 1 0 2.082 69 0.93 71 71 0 0 0 0 0 0 5 14 10 10 5 5 0 5 0 5 0 5 10 29 21 0 3 2.178 73 1.01 72 72 5 10 0 0 0 5 0 5 5 25 5 10 0 0 5 0 0 25 0 0 20 1 1 2.052 69 0.87 73 73 0 5 0 0 0 0 5 29 5 5 5 0 0 5 0 10 0 10 19 5 21 0 3 2.137 71 0.96 74 74 5 0 5 0 0 0 5 5 0 0 5 10 0 5 5 5 0 15 0 35 20 1 2 2.081 69 0.98 75 75 5 0 0 0 11 0 0 0 11 42 5 0 0 5 11 0 0 5 0 5 19 2 0 1.850 63 0.93 76 76 42 26 11 5 5 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 19 2 3 1.499 51 1.28 77 77 5 0 0 11 0 0 0 0 0 0 11 5 0 5 42 0 5 16 0 0 19 2 2 1.749 59 0.97 78 78 0 0 0 0 0 0 0 17 6 6 0 11 0 0 11 22 6 6 6 11 18 3 1 2.168 75 0.98 79 79 5 11 5 5 5 0 0 0 5 11 0 0 0 5 21 0 11 11 5 0 19 2 0 2.361 80 0.82 80 80 11 5 0 0 0 0 0 26 21 5 5 11 0 0 0 0 5 5 5 0 19 2 1 2.083 71 1.01 81 81 5 14 43 10 0 5 0 0 10 0 0 10 0 0 0 0 0 5 0 0 21 0 3 1.748 58 1.10 82 82 14 0 0 0 0 0 0 10 0 38 0 5 0 5 10 5 0 10 0 5 21 0 3 1.897 63 0.98 83 83 10 0 0 0 0 0 0 0 5 0 0 29 5 5 0 10 0 33 0 5 21 0 2 1.752 58 1.00 84 84 5 5 0 0 0 0 5 0 38 5 5 0 5 0 10 10 0 5 0 10 21 0 1 2.054 69 0.91 85 85 10 38 10 5 5 5 0 0 5 0 0 0 0 0 5 10 5 5 0 0 21 0 2 2.054 69 1.02 86 86 0 5 0 5 0 0 0 10 10 5 0 5 0 0 5 10 0 33 0 14 21 0 1 2.041 68 1.02 87 87 10 48 5 0 10 0 5 5 0 0 0 10 0 0 5 0 5 0 0 0 21 0 1 1.750 58 1.10 88 88 0 10 0 10 0 0 0 10 5 0 0 0 0 5 5 14 5 5 19 14 21 0 2 2.269 76 0.91 89 89 14 0 0 5 0 5 0 10 5 10 5 0 0 5 14 19 5 5 0 0 21 0 2 2.335 78 0.86 90 90 5 5 10 0 0 0 0 10 38 5 5 0 0 0 5 10 0 0 0 10 21 0 2 1.988 66 0.97 91 91 19 0 0 0 5 5 5 5 43 5 5 0 0 0 5 5 0 0 0 0 21 0 0 1.839 61 0.94 92 92 0 5 0 0 0 0 0 5 33 5 10 0 0 0 5 10 0 24 5 0 21 0 2 1.881 63 1.01 93 93 0 0 5 5 0 0 0 5 0 5 0 5 0 5 0 0 0 5 10 57 21 0 4 1.559 52 1.20 94 94 10 48 5 0 5 0 0 5 5 5 0 5 0 0 5 0 0 5 0 5 21 0 2 1.882 63 1.01 95 95 5 5 0 0 0 0 5 14 5 14 0 0 0 0 0 14 5 24 5 5 21 0 0 2.190 73 0.91 96 96 10 0 0 0 0 0 0 14 19 0 5 5 0 0 5 5 0 5 10 24 21 0 3 2.108 70 1.01 97 97 0 5 0 0 0 0 0 0 5 48 5 5 0 0 0 14 10 10 0 0 21 0 2 1.659 55 1.07 98 98 14 57 0 0 5 0 0 0 0 0 5 5 0 0 5 0 5 0 0 5 21 0 1 1.468 49 1.15 99 99 0 5 5 5 5 0 15 0 5 10 0 0 0 20 10 10 0 0 0 10 20 1 2 2.276 76 0.80 100 100 10 0 5 0 0 0 0 10 0 0 0 0 0 0 0 0 0 65 5 5 20 1 3 1.190 40 1.28 101 101 0 5 0 5 0 0 0 5 5 10 0 5 0 0 5 10 5 5 10 30 20 1 2 2.250 75 0.97 102 102 5 5 5 5 5 5 5 0 5 5 25 30 0 0 0 0 0 0 0 0 20 1 0 2.056 69 0.91 103 103 5 0 0 0 0 0 0 5 10 5 0 5 0 0 10 0 5 15 10 30 20 1 4 2.085 70 1.04 104 104 5 5 0 0 0 0 10 5 10 0 24 10 0 5 5 5 5 5 5 5 21 0 0 2.463 82 0.83 105 105 0 0 0 0 0 0 0 10 14 29 0 5 0 0 5 5 5 29 0 0 21 0 2 1.798 60 1.06 106 106 55 15 5 0 0 0 0 0 5 10 0 5 0 0 5 0 0 0 0 0 20 1 2 1.443 48 1.21 107 107 0 5 5 0 14 0 0 5 5 33 5 0 0 0 10 5 0 14 0 0 21 0 1 2.016 67 0.83 108 108 0 5 0 0 0 10 0 50 5 5 5 0 0 5 0 0 10 0 0 5 20 1 2 1.706 57 0.98 109 109 19 38 10 5 5 0 5 0 0 0 5 0 5 0 0 0 0 5 5 0 21 0 2 1.922 64 1.09 110 110 0 16 0 0 0 0 5 0 11 5 11 37 0 0 0 0 0 0 11 5 19 2 0 1.835 62 0.93 111 111 11 16 11 0 5 0 0 0 11 5 5 0 0 11 5 5 5 5 0 5 19 2 1 2.479 84 0.82 112 112 0 0 0 0 0 0 5 5 0 10 0 5 0 5 38 14 0 10 10 0 21 0 0 1.897 63 1.00 113 113 0 11 11 5 5 5 37 5 0 0 0 0 0 5 0 0 5 5 0 5 19 2 1 2.082 71 0.91 114 114 5 5 0 0 0 0 0 10 25 30 0 0 0 5 0 0 10 0 0 10 20 1 3 1.848 62 1.03 115 115 0 0 0 0 0 0 5 5 10 10 0 10 0 0 10 10 10 5 0 29 21 0 1 2.137 71 0.96 116 116 0 0 0 0 0 5 0 10 0 10 5 0 0 0 50 0 5 10 5 0 20 1 0 1.636 55 1.08 117 117 38 5 14 0 0 0 0 10 14 5 5 0 0 0 0 0 0 0 5 5 21 0 4 1.872 63 1.05 118 118 5 33 0 5 5 0 0 5 19 0 0 0 0 0 14 5 0 5 5 0 21 0 2 1.975 66 0.88 119 119 0 43 10 5 14 0 0 0 0 0 0 10 0 0 0 0 14 0 0 5 21 0 3 1.657 55 1.10 120 120 10 24 10 5 10 0 5 5 10 0 5 5 0 0 0 0 10 0 0 5 21 0 4 2.331 78 0.91 121 121 19 10 33 0 10 5 0 5 0 0 0 0 0 0 0 5 0 10 0 5 21 0 0 1.934 65 1.01 122 122 5 0 0 5 0 0 0 0 14 5 10 43 0 5 0 5 0 5 5 0 21 0 2 1.880 63 1.04 123 123 5 0 0 5 0 0 0 11 5 11 0 0 0 0 0 5 11 0 11 37 19 2 0 1.936 66 1.04 124 124 11 22 0 11 6 0 0 11 6 6 17 0 0 6 0 0 0 6 0 0 18 3 0 2.168 75 0.87 125 125 0 6 0 0 0 12 6 6 0 6 12 12 6 12 0 0 0 0 6 18 17 4 1 2.313 82 0.80 126 126 10 0 0 0 0 10 0 10 5 5 20 15 0 5 0 5 0 5 10 0 20 1 2 2.276 76 0.85 127 127 0 25 15 15 15 0 0 5 0 0 5 5 0 0 0 0 5 0 5 5 20 1 1 2.099 70 0.99 128 128 0 12 0 0 12 6 47 0 0 0 6 0 0 0 12 0 0 0 0 6 17 4 1 1.610 57 1.08 129 129 14 0 7 7 0 0 0 0 21 0 0 7 7 0 0 0 7 7 0 21 14 7 0 2.069 78 0.91 130 130 7 0 0 0 0 7 0 13 0 7 13 0 0 7 33 7 0 0 7 0 15 6 1 1.987 73 0.94 131 131 0 0 0 0 0 6 0 6 6 6 6 0 0 31 13 6 0 13 0 6 16 5 1 2.096 76 0.93 132 132 18 0 12 12 0 0 0 6 6 6 0 0 12 0 6 6 6 0 0 12 17 4 0 2.313 82 0.83 133 133 0 6 6 0 11 6 0 0 0 6 17 22 0 0 0 0 0 22 0 6 18 3 0 2.014 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0 0 0 5 0 14 24 0 5 0 0 10 10 5 24 0 5 21 0 3 1.989 66 0.96 326 326 16 0 0 0 0 0 5 5 0 11 11 32 0 0 5 0 0 11 0 5 19 2 3 1.986 67 0.92 327 327 5 11 5 0 63 0 11 0 0 0 0 0 0 0 0 0 0 5 0 0 19 2 1 1.229 42 1.43 328 328 37 21 0 0 0 0 5 0 16 5 5 0 0 0 0 0 0 5 0 5 19 2 1 1.762 60 0.99 329 329 24 14 14 5 10 0 0 0 5 5 0 5 0 0 0 10 0 5 0 5 21 0 1 2.215 74 0.97 330 330 0 0 0 5 0 0 0 5 10 10 10 5 0 0 0 20 0 5 5 25 20 1 0 2.108 70 0.99 331 331 5 5 5 5 0 0 0 0 45 10 0 5 0 5 0 5 0 0 5 5 20 1 1 1.938 65 1.01 332 332 5 11 0 11 0 0 0 0 11 26 11 5 0 5 5 5 0 0 0 5 19 2 0 2.229 76 0.88 333 333 0 0 6 0 0 0 0 17 17 6 11 11 0 0 11 6 0 17 0 0 18 3 1 2.110 73 0.95 334 334 0 0 0 0 0 0 0 39 11 0 6 6 0 0 11 6 11 6 0 6 18 3 2 1.903 66 1.05 335 335 5 0 0 0 0 5 5 21 16 5 0 0 0 0 0 11 5 5 5 16 19 2 0 2.233 76 0.89 336 336 5 0 5 0 0 0 0 25 15 15 0 0 5 0 15 10 0 5 0 0 20 1 4 2.030 68 0.92 337 337 0 5 0 0 0 0 0 0 19 0 5 5 0 5 19 33 0 5 0 5 21 0 0 1.868 62 0.99 338 338 0 14 5 0 5 0 5 0 14 0 10 38 0 0 5 0 0 0 5 0 21 0 2 1.872 63 0.93 339 339 5 10 5 0 0 0 0 14 5 14 10 0 0 5 10 5 10 10 0 0 21 0 1 2.401 80 0.85 340 340 38 10 14 0 10 0 0 0 5 5 0 5 0 0 0 5 5 5 0 0 21 0 2 1.963 66 1.05 341 341 5 30 15 25 10 0 0 0 5 0 0 5 0 0 0 0 0 0 0 5 20 1 3 1.822 61 1.22 342 342 0 0 0 0 0 0 0 0 21 42 0 0 0 5 11 0 5 16 0 0 19 2 4 1.531 52 1.10 343 343 0 0 0 0 0 0 0 0 10 5 0 0 5 5 5 0 10 10 35 15 20 1 1 1.942 65 1.07 344 344 5 5 0 5 10 5 40 0 0 0 5 5 0 5 5 0 0 5 0 5 20 1 0 2.095 70 0.95 345 345 25 10 0 10 0 5 0 15 10 10 5 0 0 0 5 0 0 0 5 0 20 1 2 2.151 72 0.88 346 346 10 15 40 5 0 5 0 0 5 0 5 5 0 0 5 0 0 0 5 0 20 1 2 1.930 64 1.05 347 347 0 5 0 0 5 0 10 10 5 5 33 10 0 0 0 0 0 10 10 0 21 0 1 2.066 69 0.91 348 348 5 5 0 5 0 0 0 5 10 5 0 5 0 0 0 0 20 25 15 0 20 1 0 2.082 69 0.98 349 349 0 10 0 0 0 0 10 10 10 0 30 5 0 0 0 5 0 10 5 5 20 1 1 2.112 70 0.89 350 350 0 0 5 0 16 11 0 0 5 11 0 0 0 5 5 21 11 0 0 11 19 2 3 2.187 74 0.80 351 351 0 0 0 0 0 0 0 10 10 15 0 10 0 0 0 0 10 5 5 35 20 1 2 1.873 63 1.11 352 352 0 0 0 0 0 0 0 10 19 5 0 0 0 5 14 48 0 0 0 0 21 0 3 1.461 49 1.10 353 353 43 10 5 0 0 0 0 5 14 0 0 5 0 0 0 10 0 5 5 0 21 0 2 1.814 61 1.03 354 354 15 15 25 5 10 5 0 0 15 5 5 0 0 0 0 0 0 0 0 0 20 1 3 2.030 68 1.03 355 355 5 42 11 11 5 5 0 0 0 0 0 0 0 0 5 0 11 5 0 0 19 2 1 1.850 63 1.12 356 356 0 0 5 0 0 0 0 10 5 19 14 10 0 0 24 5 5 0 5 0 21 0 0 2.108 70 0.94 357 357 0 5 0 0 0 0 5 5 5 0 0 14 0 0 0 10 0 10 33 14 21 0 2 1.950 65 1.02 358 358 11 11 0 0 47 5 11 0 5 5 0 0 0 5 0 0 0 0 0 0 19 2 2 1.685 57 1.18 359 359 0 5 0 0 0 0 0 5 5 5 5 5 0 0 0 5 5 37 11 11 19 2 2 2.082 71 1.07 360 360 6 0 0 0 6 0 0 61 0 0 0 0 0 0 0 6 0 11 6 6 18 3 0 1.348 47 1.20 361 361 17 22 6 6 0 6 17 0 6 0 0 11 0 0 6 0 0 6 0 0 18 3 1 2.139 74 0.90 362 362 17 22 28 11 0 0 6 0 6 0 0 0 0 0 0 0 0 6 6 0 18 3 1 1.875 65 1.12 363 363 5 5 0 0 0 0 0 5 5 5 10 20 0 0 10 10 0 25 0 0 20 1 1 2.108 70 0.92 364 364 5 5 5 0 0 5 0 10 10 5 0 33 0 0 10 0 10 0 0 5 21 0 1 2.132 71 0.89 365 365 0 19 5 0 14 5 33 0 5 0 0 5 0 0 5 0 0 5 5 0 21 0 0 1.975 66 1.03 366 366 0 0 0 0 10 5 5 0 0 0 45 5 0 0 5 5 10 5 5 0 20 1 4 1.868 62 0.94 367 367 0 5 0 0 5 0 0 11 11 0 5 5 0 0 5 11 0 37 5 0 19 2 0 2.009 68 0.94 368 368 0 0 0 0 0 0 6 0 6 39 0 6 0 0 17 6 11 6 0 6 18 3 1 1.874 65 0.98 369 369 11 17 33 11 0 0 0 0 0 0 6 0 0 0 6 0 0 11 0 6 18 3 2 1.879 65 1.04 370 370 5 0 0 0 0 5 0 11 0 0 16 5 0 0 11 21 0 5 21 0 19 2 2 2.041 69 0.95 371 371 0 0 0 0 0 28 56 0 0 0 6 0 0 6 0 0 0 6 0 0 18 3 1 1.164 40 1.31 372 372 11 0 6 0 6 6 0 0 6 0 6 39 0 6 11 0 6 0 0 0 18 3 1 1.980 68 0.88 373 373 6 0 0 0 6 0 0 12 35 24 0 0 0 0 0 6 0 6 0 6 17 4 0 1.793 63 1.02 374 374 13 0 0 0 0 0 0 60 7 0 0 0 0 0 0 0 0 13 0 7 15 6 1 1.205 44 1.29 375 375 0 11 22 11 0 0 0 22 11 0 0 11 11 0 0 0 0 0 0 0 9 12 0 1.889 86 0.87 376 376 0 8 0 0 0 0 8 0 0 0 15 15 0 0 0 8 0 0 31 15 13 8 0 1.818 71 0.92 377 377 8 8 0 0 0 0 0 0 0 0 8 17 33 8 0 0 0 17 0 0 12 9 1 1.792 72 0.83 378 378 0 0 0 0 0 0 0 0 20 20 7 0 0 0 0 0 0 13 0 40 15 6 2 1.459 54 1.15 379 379 56 17 0 6 6 0 0 0 0 0 6 0 0 0 0 0 6 0 0 6 18 3 0 1.428 49 1.19 380 380 13 19 0 6 0 13 6 6 6 0 0 0 19 0 0 0 0 6 0 6 16 5 1 2.187 79 0.80 381 381 0 7 0 0 7 0 0 0 7 7 0 40 0 0 13 7 0 7 7 0 15 6 1 1.899 70 0.91 382 382 0 0 0 0 0 0 0 44 6 13 0 0 0 0 13 19 0 6 0 0 16 5 1 1.542 56 1.04 383 383 11 6 6 0 0 0 0 6 17 0 0 0 0 0 6 17 6 17 6 6 18 3 2 2.264 78 0.89 384 384 0 5 0 5 0 0 0 0 0 0 11 0 0 0 11 21 11 11 16 11 19 2 1 2.114 72 0.97 385 385 0 0 5 0 0 5 0 5 10 5 5 5 0 0 15 20 5 5 15 0 20 1 2 2.320 77 0.91 386 386 30 20 5 0 5 0 5 0 15 0 0 0 5 0 0 0 0 15 0 0 20 1 0 1.851 62 0.98 387 387 0 5 0 0 16 0 0 0 16 5 5 5 0 21 11 5 0 0 11 0 19 2 1 2.160 73 0.80 388 388 0 5 0 0 0 0 0 10 10 5 0 0 0 0 19 29 10 10 0 5 21 0 2 2.004 67 0.99 389 389 33 33 0 0 0 5 0 0 5 0 5 5 0 0 5 5 0 0 5 0 21 0 3 1.747 58 1.02 390 390 5 0 0 0 0 5 0 63 0 0 5 0 0 0 0 0 0 5 0 16 19 2 6 1.202 41 1.26 391 391 57 10 5 10 0 0 0 0 0 0 0 10 0 0 5 5 0 0 0 0 21 0 0 1.427 48 1.25 392 392 11 0 0 5 0 0 0 0 47 5 0 16 0 0 0 0 5 11 0 0 19 2 2 1.584 54 1.10 393 393 0 0 0 0 0 0 5 40 15 10 5 0 0 0 5 0 5 0 5 10 20 1 1 1.861 62 1.06 394 394 15 40 15 0 0 0 15 0 0 0 5 5 0 0 0 0 0 0 0 5 20 1 2 1.670 56 1.10 395 395 15 45 5 0 5 0 0 0 5 0 0 0 5 15 5 0 0 0 0 0 20 1 2 1.677 56 1.04 396 396 5 5 0 5 5 0 5 0 0 5 10 5 0 5 5 5 0 5 15 20 20 1 1 2.484 83 0.82 397 397 0 5 11 0 0 0 0 47 5 0 5 5 0 0 0 5 0 0 5 11 19 2 0 1.758 60 1.06 398 398 0 10 0 0 0 0 5 0 10 10 5 15 0 0 5 5 0 25 0 10 20 1 0 2.151 72 0.88 399 399 0 0 0 5 0 0 0 52 14 0 5 5 0 0 5 5 0 0 5 5 21 0 2 1.632 54 1.17 400 400 22 17 0 17 17 0 11 0 17 0 0 0 0 0 0 0 0 0 0 0 18 3 5 1.773 61 1.09 401 401 5 0 5 0 0 0 0 0 53 11 5 5 0 0 0 0 0 16 0 0 19 2 1 1.486 50 1.16 402 402 0 56 11 0 0 0 11 0 6 0 0 0 0 6 0 6 6 0 0 0 18 3 1 1.457 50 1.11 403 403 0 0 0 0 0 0 5 0 16 11 0 0 0 0 5 16 11 37 0 0 19 2 1 1.735 59 1.01 404 404 0 5 0 0 0 0 0 5 16 26 5 5 0 5 5 5 0 16 0 5 19 2 1 2.174 74 0.95 405 405 40 10 0 5 0 0 5 0 5 0 5 10 0 0 0 0 0 10 0 10 20 1 0 1.887 63 0.97 406 406 5 0 0 0 0 0 0 65 0 0 0 0 0 5 0 5 5 5 10 0 20 1 2 1.259 42 1.25 407 407 0 58 11 5 11 0 0 0 0 0 0 5 0 0 0 11 0 0 0 0 19 2 0 1.337 45 1.30 408 408 0 0 5 0 0 0 5 10 10 5 10 0 0 0 0 0 5 45 0 5 20 1 1 1.799 60 1.07 409 409 15 0 0 0 0 5 5 0 10 5 10 5 0 0 15 15 5 5 0 5 20 1 1 2.363 79 0.82 410 410 0 5 11 0 0 0 0 0 16 0 5 0 0 11 5 0 0 0 42 5 19 1 2 1.749 59 0.98 411 411 6 6 0 0 0 0 0 6 6 6 6 0 0 0 11 39 0 11 0 6 18 0 0 1.980 68 0.98 412 412 0 6 0 6 0 0 0 12 0 12 12 6 6 6 24 0 0 12 0 0 17 0 0 2.181 77 0.84 413 413 0 12 0 0 0 6 18 0 0 0 6 18 0 18 12 0 0 0 6 6 17 0 0 2.089 74 0.81 414 414 47 24 12 6 0 0 0 0 0 0 6 0 0 6 0 0 0 0 0 0 17 0 0 1.447 51 1.28 415 415 0 7 0 0 0 0 0 0 0 0 7 7 0 0 0 7 43 14 7 7 14 0 0 1.772 67 1.07 416 416 0 0 0 0 0 0 0 0 0 10 0 20 0 0 0 10 10 50 0 0 10 0 0 1.359 59 1.12 ## INSERTION LIST AliNo IPOS JPOS Len Sequence 1 9 146 7 fRQSFVDGk 1 15 159 1 pDd 1 17 162 2 wHRs 1 22 169 7 wFRHNEALd 1 28 182 1 iGg 1 39 194 3 pEFTi 1 44 202 8 aWDLPVVGYr 1 77 241 2 rAEq 1 81 247 14 iNAEKLTKVLYPNDNh 1 84 264 3 aGKKl 1 89 272 7 qQYFQCACs 1 93 283 6 dILRRHHl 1 96 292 1 gRe 1 115 312 7 tIAIPELLr 1 146 350 2 pEAl 1 159 363 1 gLl 1 167 372 2 iNEi 1 181 387 3 wPGDe 1 205 413 7 vGGFAVNGv 1 216 429 2 vVKd 1 241 456 1 rWi 1 282 490 4 lADDAk 1 288 500 2 yRVi 1 311 523 9 iNPQAIFDIQi 1 315 536 20 lHEYKRQHLNLLRILALYKEIr 1 325 566 1 pRv 1 336 578 4 gYYLAk 1 342 588 4 aINKVa 1 350 600 3 pLVGd 1 352 605 3 kLKVv 1 358 614 5 yCVSAAe 1 362 623 2 iPAa 1 390 651 2 gALt 1 402 665 1 iAe 1 410 673 4 nIFIFg 2 24 42 4 lLATGr 2 25 47 6 rKLADTLn 2 50 78 11 qIYNQNSNCNDLc 2 56 95 8 qFRLLRQHGf 2 65 112 1 sKf 2 71 119 6 gKFKESLa 2 74 128 11 dVLGLLNLYEASh 2 80 145 3 aDDIl 2 86 154 5 aFSTIHl 2 117 190 2 vETr 2 135 207 4 nNVLLr 2 147 223 9 mLHKQELAQVs 2 172 257 1 fWa 2 187 272 3 rVMLv 2 197 285 11 vDDTFDAYGTVKe 2 213 312 2 eIDr 2 240 341 2 aGRs 2 260 363 4 vESTWf 2 298 400 5 mKSATEq 2 323 425 5 cRVIDDt 2 340 447 3 iECCm 2 371 478 5 eGLLRPt 2 388 499 1 rIv 3 34 92 1 lPg 3 39 98 1 pGl 3 64 124 7 lGVGEYGGg 3 68 135 1 eFp 3 71 139 3 dALPp 3 83 153 14 eEVVLDLEVTPNRPDa 3 94 178 10 lHALGYALVEPe 3 99 193 12 kAEALPLPFALKVe 3 114 219 12 aFGLRVAPSPLWMq 3 120 237 8 aAGMRPINNv 3 126 251 2 nYVm 3 130 257 4 rAQPMh 3 143 274 3 aVRRa 3 170 303 2 gWRg 3 175 310 14 fPLGLAGVMGGAESEv 3 196 344 4 iRKTAr 3 203 355 11 tEASHRFERGVDp 3 205 368 2 lGQv 3 219 384 2 lAGa 3 231 398 1 sPk 3 268 434 19 cRVEGEGPTYRVTPPSHRLDl 3 298 477 1 lPa 3 311 491 4 aPYRKe 3 323 507 3 gFQEv 3 346 533 3 lLLNp 3 357 547 2 tHLf 3 385 569 1 aLl 3 390 575 10 gRVFREREETHl 4 5 72 1 qTh 4 11 79 6 nLRIRSIv 4 35 109 3 kLPLk 4 40 117 3 fIDSv 4 52 132 1 vCs 4 57 138 7 mGWFGEEKn 4 65 153 1 dCf 4 73 162 3 nIYVr 4 92 184 4 eYHDRd 4 96 192 1 aVp 4 103 200 6 eYQVSKQs 4 108 211 5 gPKQHSl 4 170 273 1 gYi 4 176 280 2 vPYq 4 222 325 6 yVHSANGt 4 227 336 11 lKNAICVFEQYGn 4 233 353 5 hTENGIp 4 257 382 16 nXDNVIDWEFKASGSIKp 4 267 408 7 eIKGTNIKh 4 274 422 1 eDl 4 280 429 5 vSANSIg 4 300 454 2 hNSf 4 326 482 19 tQTAKTESDAKITIGLAPAEl 4 329 504 6 vVNPNIKt 4 333 514 3 gNEVg 4 351 535 4 dYPQIr 4 378 566 9 dHSRGDDTLAv 4 385 582 2 rEIv 4 388 587 7 kDIVMWHVv 4 390 596 11 gIHHVPAQEDFPi 4 406 622 1 nFf 4 410 627 7 nPVLKTLSp 5 5 182 2 rGDy 5 7 186 2 dANi 5 15 196 7 tVGTMMTCg 5 30 218 6 tGTNACYm 5 85 263 2 fDRe 5 105 285 6 gMYLGELv 5 120 306 3 fEGRi 5 149 330 4 kNKEGl 5 159 344 3 rLGVe 5 161 349 6 pSDDDCVs 5 166 360 2 vCTi 5 190 385 3 dNKGt 5 194 392 1 lRt 5 199 398 1 vDg 5 201 401 2 sLYk 5 240 433 1 sGs 5 297 486 11 rKQTHNNAVVKMl 5 301 501 2 fVRr 5 343 543 2 nKIy 5 346 548 9 iPIEIMQGTGe 5 354 565 2 vSCi 5 363 576 10 gIKGPRMPLGFt 5 368 591 11 pCQQTSLDAGILi 5 374 608 3 gFKAt 5 377 614 3 cVGHd 5 381 621 6 tLLRDAIk 5 396 642 3 nDTVg 5 400 649 2 mTCa 5 404 655 8 ePTCEVGLIv 6 22 24 2 iICt 6 39 43 9 qSGMSVARMNf 6 66 79 3 iAIAl 6 73 89 9 eIRTGQFVGGd 6 93 118 2 dKGt 6 103 130 2 qNLs 6 106 135 2 vVRp 6 120 151 14 lQVQSHEDEQTLECTv 6 131 176 6 rGVNLPGc 6 148 199 1 qFg 6 155 207 5 dMIFASf 6 169 226 4 aLGPKg 6 176 237 4 iCKIEn 6 198 263 2 rGDl 6 204 271 3 pAEKv 6 247 314 2 vSDv 6 352 395 2 kAMv 6 369 409 2 lVAk 6 378 418 1 pIv 6 380 421 2 cVTt 6 389 432 4 lNITQg 6 395 442 7 fFDADKLGh 6 399 453 4 gKEHRv 7 6 21 1 yIa 7 25 40 4 rIEDTd 7 27 46 3 rARYv 7 33 55 2 eRIl 7 35 59 2 aALk 7 52 78 4 tGPYRq 7 59 89 19 lYQKYAEELLKRGWAYRAFEt 7 82 131 2 pPEe 7 93 144 4 pHVIRl 7 103 158 2 eVKd 7 109 166 4 vVVYDn 7 151 203 2 dVIr 7 205 254 2 lDWy 7 235 280 2 dGRe 7 237 284 2 iFTl 7 261 306 4 fDLEKl 7 277 324 1 sLe 7 354 388 3 lEEGl 7 382 419 3 gFAAe 7 390 429 1 gQv 7 392 432 8 aQPLRAALTg 7 400 448 2 lFEi 8 76 46 3 vALLe 8 83 56 1 eRv 8 106 80 10 vQFNGAIGPYKg 8 167 142 19 mRFCQAFMTELYRHIGPDIDv 8 207 194 2 tGKa 8 217 206 1 rPe 8 225 215 1 vYy 8 252 240 10 gNVAWGAAKKLa 8 270 268 5 yDPEGIt 8 295 297 2 aDKf 8 301 305 2 fPGe 8 312 318 14 iMPCATQNDVDLEQAk 8 341 359 3 lMQQp 8 350 371 4 kAVNAg 9 12 8 7 vLASLIPKe 9 100 89 11 eGLFWLLVTGQIp 9 119 119 3 lPSHv 9 174 164 4 tKYWEf 9 194 184 6 vAAKIYRn 9 211 206 2 lDWs 9 224 221 7 pQFTELMRl 9 243 247 16 sHLVGSALSDPYLSFAAa 9 297 311 2 gRVv 9 322 329 1 yTc 9 336 344 2 pMFk 9 338 348 5 lVAQLYk 9 357 372 3 nVDAh 9 366 384 2 yGMt 9 370 390 1 nYy 9 395 409 2 iWSr 9 403 419 6 eRPKSMSt 10 82 142 1 eMt 10 87 148 5 vFSRYDq 10 114 180 1 gLd 10 117 184 3 iGFAa 10 122 192 2 tEPd 10 166 234 3 lAWAl 10 172 243 3 eYVRa 10 175 249 16 vEQGFTATEAFDTINFRv 10 184 274 1 lTi 10 210 300 6 rGARQNAi 10 212 308 2 tSWr 10 215 313 6 lTREDPYv 10 239 342 1 tLp 10 247 349 1 lGl 10 255 358 3 lRIAr 10 262 368 6 lAEEVNIg 10 267 379 6 dPAGGSYy 10 272 390 9 lTRSLADAAWk 10 275 402 2 fQEv 10 282 411 7 mSKAVMTEh 10 292 427 2 cNAe 10 326 458 2 tKPf 10 336 469 5 gLAWHRd 10 345 483 3 mDRSt 10 349 490 1 sEr 10 355 497 6 lACLGTRr 10 383 530 6 gTTAEIVe 10 390 543 2 gAQv 10 400 555 1 vYa 11 14 228 4 dLPLEv 11 61 277 8 pPPEGAFVGf 11 69 293 9 pMWADLLALAa 11 82 315 1 pYk 11 85 319 1 lRd 11 90 325 4 aRGLLa 11 94 333 14 lSVLALREGLGLPPGd 11 97 350 5 pMLLAYl 11 113 371 8 yGGEWTEEAg 11 119 385 3 lSERl 11 125 394 10 wGRLEGEERLLw 11 159 435 1 aLs 11 163 440 5 vAEEIAr 11 164 446 3 rLEAe 11 174 459 1 fNl 11 185 471 3 lFDEl 11 208 497 9 eALREAHPIVe 11 212 510 2 lQYr 11 222 522 8 yIDPLPDLIh 11 224 532 2 pRTg 11 242 548 1 tGr 11 245 552 3 cCCDp 11 253 563 2 vRTp 11 264 574 1 gFi 11 331 633 1 pLm 11 338 641 3 tINFg 11 347 651 23 sAHRLSQELAIPYEEAQAFIERYFq 11 353 680 3 vRAWi 11 359 689 5 eEGRRRg 11 389 720 11 aAERMAFNMPVQg 11 401 743 5 vKLFPRl 11 406 753 4 gARMLl 12 31 20 6 vFGNPGSn 12 35 30 9 pFLKDFPEDFr 12 44 47 6 eACVVGIa 12 53 62 5 rKPAFIn 12 56 70 1 hSa 12 64 79 1 mGa 12 76 92 6 lIVTAGQq 12 81 103 2 mIGv 12 98 122 4 lVKWSy 12 100 128 1 ePa 12 107 136 15 pHAMSRAIHMASMAPQg 12 108 152 3 gPVYl 12 135 182 1 sVr 12 163 206 2 vLGp 12 173 218 2 aDCv 12 204 247 3 pCFRg 12 223 268 7 dVVLVIGAp 12 243 294 4 rLISVt 12 257 312 9 dAIVADIGAMa 12 282 346 5 vDQDAGr 12 299 368 3 eNAIy 12 321 393 3 gSYYf 12 325 400 3 aGGLg 12 334 412 4 gVQLAe 12 341 423 7 iAVIGDGSa 12 352 441 9 aAQYNIPTIFv 12 393 480 5 gIDFRAl 12 400 492 1 vQa 13 7 19 5 ePSLDNl 13 9 26 1 aQq 13 12 30 12 vAAPGAPEGVTALs 13 19 49 3 eANKi 13 23 56 7 eRCAGCHGv 13 35 75 9 tPDLTRDLGFd 13 39 88 2 qSFi 13 54 105 2 sGEl 13 55 108 3 lSAEq 13 105 159 1 eNl 13 120 175 6 iDGSTYEi 13 121 182 1 iKt 13 152 212 2 kVNm 13 155 217 1 dLw 13 182 244 5 eGWEDKy 13 187 254 8 gAYWPPQYVi 13 201 276 15 sTRGMTYDEQEYHPEPr 13 214 304 1 eFi 13 266 354 2 nARn 13 283 373 15 eDTGGQTPHPGRGANFv 13 288 393 2 fGPv 13 292 399 4 tSHMGd 13 298 409 5 lIGTDPe 13 319 435 8 sLFIKTHPNs 13 322 446 15 yLYVDATLNPEAEISGs 13 336 475 5 gSDPEFk 13 345 489 1 aGi 13 358 503 2 fNKd 14 3 11 1 nPp 14 17 25 11 wSSFGNKTIWGGn 14 20 39 6 wVDDSPTr 14 38 63 1 lSa 14 93 107 8 dITRQEFRLl 14 100 122 1 eYg 14 111 134 1 aLr 14 145 169 1 qKd 14 151 176 1 dKk 14 167 193 3 lDTRl 14 169 198 5 sELEKNg 14 185 219 14 lGQQTRNDRAISEARn 14 191 239 1 vTe 14 200 249 1 aLt 14 207 257 1 lTq 14 219 270 2 vSPe 14 224 277 9 gRSSTNDSIVv 14 241 303 3 aVIDn 14 246 311 2 lNYl 14 254 321 5 dYKRNIl 14 259 331 1 nPv 14 285 358 13 rLLDARNKITSAESa 14 295 381 12 sARTNEQKHANDAl 14 296 394 1 lNa 14 298 397 4 lLKEKe 14 309 411 2 iNQk 14 313 417 6 eEKRKQDe 14 326 436 1 tEf 14 334 445 1 kYg 15 8 99 2 lGGs 15 17 110 1 wTr 15 31 124 8 vFGNEGWNWd 15 65 161 9 aSCHGVNGTVh 15 74 179 11 dDYSPIVKALMSa 15 88 204 4 gCGDPh 15 101 221 3 dQVRs 15 148 267 1 eFg 15 163 278 3 vYAKh 15 183 299 7 ySGIGMKSi 15 200 322 4 gLNLQd 15 277 397 3 nYRDw 15 296 414 3 lDTAg 15 301 422 4 fDVWDl 15 308 433 1 gYv 15 314 440 3 kDPYl 15 328 455 2 lNEl 15 361 486 12 eTIPGDNLAYDADl 15 369 506 6 iPYHFRPn 15 383 526 5 eMGGVVd 15 389 537 1 vYg 16 32 10 1 pVk 16 35 14 8 kPGMDGPKVk 16 59 38 1 iCt 16 63 43 4 eKEGKi 16 72 56 1 pYn 16 76 61 11 vFAIKKKDSTKWr 16 78 74 18 kLVDFRELNKRTQDFWEVQl 16 92 106 4 sVTVLd 16 96 114 5 dAYFSVp 16 101 124 11 dFRKYTAFTIPSi 16 118 150 1 lPq 16 134 167 2 kILe 16 152 187 7 dLYVGSDLe 16 158 200 1 rTk 16 196 231 3 mGYEl 16 203 241 2 tVQp 16 237 271 15 iYPGIKVRQLCKLLRGt 16 255 304 1 lAe 16 261 311 3 lKEPv 16 285 335 3 qGQWt 16 291 344 3 qEPFk 16 297 353 1 gKy 16 309 366 1 vKq 16 339 388 2 pKFk 16 342 393 6 pIQKETWe 16 364 421 6 pPLVKLWy 16 366 429 3 qLEKe 16 370 436 5 vGAETFy 16 399 463 21 gRQKVVTLTDTTNQKTELQAIYl 17 22 75 3 gGPPd 17 57 108 11 fIQSQGGIESSRv 17 71 133 1 pWe 17 81 144 3 iMFLg 17 88 154 6 nIYEFGSw 17 117 187 1 vPe 17 155 218 1 hGy 17 156 220 7 yQKLSVHPf 17 164 235 2 rALd 17 168 241 2 lERq 17 172 247 15 dGSWGGIQPPWFYALIa 17 181 271 2 qHPa 17 184 276 2 iKGw 17 200 293 5 gWMFQAs 17 205 303 6 vWDTGLAv 17 211 315 2 aAGl 17 247 347 2 rPNl 17 299 385 1 eRr 17 322 409 13 wGAYDVDNTSDLPNh 17 325 425 2 pFCd 17 327 429 2 fGEv 17 351 455 2 dAWk 17 400 491 3 aVVSa 18 11 137 1 gYv 18 15 142 1 aGd 18 24 152 2 vIMp 18 32 162 2 eVYe 18 48 180 4 mVFWAa 18 57 193 2 iGWv 18 62 200 2 hGAy 18 63 203 2 yPGl 18 73 215 4 kVIVId 18 77 223 14 rTKTVEFFGAEHITPk 18 90 250 4 aHTLVa 18 97 261 16 kDFIANYTSGFDKFLPYl 18 103 283 12 dSTPKTAEWAEGIs 18 118 310 4 fESKRt 18 127 323 1 mQr 18 153 349 5 pGGGFGl 18 159 360 3 sGGGt 18 170 374 3 gITDg 18 181 388 4 lAASGa 18 189 400 5 rVVDMLe 18 203 419 3 sKFPd 18 213 432 1 gNp 18 225 445 2 vKAw 18 226 448 2 wEKl 18 264 487 2 gDYs 18 340 553 1 vQm 18 342 556 19 pAFDAFWAEGIVEFPVTDGAd 18 350 583 2 fREd 18 354 589 2 lNPl 18 366 603 3 sKNIe 18 394 624 2 lERl 18 409 640 4 aSHPFn 19 18 83 1 nIh 19 38 104 7 mQVEFFLKs 19 43 116 2 eAIs 19 52 127 11 vCNSWVYNTKLYk 19 56 142 2 rIFf 19 65 153 5 sETPAPl 19 68 161 1 sYr 19 89 183 5 rIYDYDv 19 99 198 1 kSe 19 108 208 2 gGSs 19 119 221 4 tGRGPt 19 126 232 6 tEKQGEVf 19 146 257 5 eIGTKSl 19 150 266 5 iVQPAFe 19 161 281 4 pIEFHs 19 166 290 2 vHDl 19 174 300 3 lPRDv 19 178 307 1 tIi 19 184 314 10 iKELYRTDGQHi 19 215 351 3 mIAGv 19 217 356 5 nPCVIRg 19 226 370 1 sNl 19 231 376 2 iYGd 19 267 412 4 dIFMPy 19 277 426 1 sAk 19 283 433 10 rTILFLREDGTl 19 289 449 6 iELSLPHs 19 310 476 1 eSt 19 317 484 5 kAYVIVn 19 323 495 12 hQLMSHWLNTHAAm 19 341 522 8 lHPIYKLLTp 19 353 542 3 lARQs 19 387 577 10 fTDQALPADLIk 19 392 592 8 aIKDPSTPHg 19 394 602 1 vRl 19 408 617 3 eIWAa 20 16 181 4 hGMVLl 20 34 202 12 fAAAVKKRGITDAk 20 38 218 2 iTTp 20 42 224 3 vGYFd 20 114 289 4 pFDGRd 20 117 296 6 vAPAVKPm 20 128 313 2 yTIt 20 147 331 1 mNs 20 157 342 2 vTYn 20 170 357 9 gSLGGMIVPYg 20 172 368 8 dPDIGWYFKa 20 179 383 4 dYGMGt 20 197 405 3 lLNEt 20 223 431 1 aGp 20 249 458 21 sTVGNXDYIFDWIFHENGTIGId 20 288 508 2 yGTl 20 300 521 5 hQHIYNf 20 342 561 2 qVNq 20 359 578 1 dPg 20 366 586 9 sNPNKENRMGn 20 372 601 4 qIIPYa 20 384 617 6 qFAPDEWi 20 390 629 7 sFMDKQLWv //
================================================== MAXHOM-STRIP ===================================================== test sequence : /home/phd/server/work/predict_h14877.phdDssp list name : /home/phd/server/work/TOPITS_DB.list last name was : /home/phd/server/pub/topits/dssp/1gso.dssp seq_length : 416 alignments : 1897 sort-mode : ZSCORE weights 1 : NO weights 2 : NO smin : -1.00 smax : 2.00 maplow : 0.00 maphigh : 0.00 epsilon : 0.00 gamma : 0.00 gap_open : 2 gap_elongation : 0.2 INDEL in sec-struc of SEQ 1: YES INDEL in sec-struc of SEQ 2: YES NBEST alignments : 1 secondary structure alignment: NO =================================================== SUMMARY =========================================================== IAL VAL LEN IDEL NDEL ZSCORE %IDEN STRHOM LEN2 RMS SIGMA NAME 1 129.73 396 172 49 3.02 0.33 0.31 796 -1.00 0.000 1ahp_A MOL_ID: 1; . 2 118.47 391 133 32 2.62 0.27 0.36 532 -1.00 0.000 5eat MOL_ID: 1; . 3 116.47 389 191 40 2.55 0.31 0.37 785 -1.00 0.000 1pys_B MOL_ID: 1; . 4 115.67 405 175 35 2.53 0.29 0.41 642 -1.00 0.000 1ksi_B MOL_ID: 1; . 5 114.60 390 164 42 2.49 0.28 0.40 899 -1.00 0.000 1hkc_A MOL_ID: 1; . 6 114.53 377 131 37 2.49 0.27 0.43 492 -1.00 0.000 1pkl_A MOL_ID: 1; . 7 114.07 373 119 41 2.47 0.29 0.34 468 -1.00 0.000 1gln MOL_ID: 1; . 8 113.73 356 119 31 2.46 0.27 0.31 449 -1.00 0.000 1bgv_A MOL_ID: 1; . 9 113.47 361 134 33 2.45 0.28 0.37 435 -1.00 0.000 1csh CITRATE SYNTHASE (E.C.4.1.3.7) COMPLEXED WITH OXALOACETATE . 10 113.33 382 139 44 2.44 0.30 0.32 619 -1.00 0.000 1req_B MOL_ID: 1; . 11 112.60 391 189 42 2.42 0.31 0.33 808 -1.00 0.000 1taq MOL_ID: 1; . 12 112.20 394 164 40 2.40 0.27 0.37 523 -1.00 0.000 1bfd MOL_ID: 1; . 13 112.13 391 168 37 2.40 0.26 0.39 559 -1.00 0.000 1aom_B MOL_ID: 1; . 14 111.33 398 147 37 2.37 0.27 0.34 602 -1.00 0.000 1cii MOL_ID: 1; . 15 111.13 384 129 38 2.37 0.27 0.45 581 -1.00 0.000 1gal GLUCOSE OXIDASE (E.C.1.1.3.4) . 16 110.60 352 193 41 2.35 0.32 0.35 543 -1.00 0.000 1rth_A MOL_ID: 1; . 17 110.53 365 147 38 2.35 0.32 0.40 619 -1.00 0.000 1sqc MOL_ID: 1; . 18 110.40 390 159 41 2.34 0.29 0.32 779 -1.00 0.000 1dmr MOL_ID: 1; . 19 110.20 402 174 45 2.33 0.29 0.36 839 -1.00 0.000 1yge MOL_ID: 1; . 20 109.93 379 158 41 2.32 0.29 0.41 720 -1.00 0.000 1oac_A MOL_ID: 1; . ==================================== ALIGNMENTS =================================== 1 - 51 ....:....1....:....2....:....3....:....4....:....5 pred MINRRYELFKDVSDADWNDWRWQVRNRIETVEELKKYIPLTKEEEEGVAQC HHHHH HHHHHHHHHHHHHH HHHHHHHH HHHHHHHHHH OBOOOBOBBOOBOOOOBOOBBOBBOOOBOOOOOBOOOBOBOOOOOOOBOOB LLLLLLLHHLLLLLLLLLLLLLLLLLLLLLHHHHHHHLLLLLLLLLLHHHH N Y LFK V DW W V I V P T GVAQ 1. 1ahp_A 129.73 LNYQYGLfkQVEApdwsNYPwdVQVGigAVTKDGRWEpiTGQarNGVAQP ELLLLLLLEEEEELLLHHLLLLEEEEELEELLLLLEELEEEEELLLLEEE N E A R RN I E L KE E QC 2. 5eat 118.47 NQVAEKYAQEIEALKEQTRSMlrnLIDIIERLGISYHFEKEIDEILDqc HHHHHHHHHHHHHHHHHHHHHHLHHHHHHHHLLLHHHLHHHHHHHHHHH R E VS A R I L PL E V Q 3. 1pys_B 116.47 RTVEV...VSGAE......NARKGIGVALAlgTELplGQKVGERVIQG LEEEE...EELLL......LLLLLLEEEEELLLELLLLLELLEEEELL IN E VSD N E KKY P K 4. 1ksi_B 115.67 IINSqhEILInvSDNIHNGYGFPILSVDEQSLAIkkYPPfvKKRGLNLSEI EELLEEEEEEEEEEEELLLLLELLLLHHHHHHHLLHLHHHHHHLLLLHHHE I RY V D D V I T EEL I L E EG 5. 1hkc_A 114.60 IKKrydiVAVVNDtgYDDQHCEVGLIIGtmEEL.RHIDLV.EGDEG.... HHHHLLEEEEELHHHLLLLLEEEEEEELLEEEH.HHLLLL.LLLLL.... N F V A R VE LK I E 6. 1pkl_A 114.53 NLTLSIFDPV..ANYRAARitIGPSTQSVEALKGLIqfSHGSHEYHQTT HHHLLLLLLL..LLLLLLEEELLHHHLLHHHHHHHHHLLLLLHHHHHHH Y LF A N R VR R EEL K L E VA 7. 1gln 114.07 VGTAyaLF.NYAWARRNGGRFIVrdrvPGAEelakWLGLSYDEGPDVAAP HHHHHHHH.HHHHHHLLLLEEEELLLLLLHHHHHHHLLLLLLEEHHHELL V I VE KKY E E V Q 8. 1bgv_A 113.73 VDRVIAEVE..KKY....ADEPEFV.QT HHHHHHHHH..HHL....LLLHHHH.HH KDV A R Q N V T G 9. 1csh 113.47 LKDveQARIKTFRQQHGN..TAVGQ......ITVDMSYGGMRG HHHHHHHHHHHHHHHHLL..LLLLL......LLHHHHHLLLLL V D W VR E E K K EG 10. 1req_B 113.33 VRNGDMDA..WDVRALHEDPDE..KF..TRKAILEGLERG LLLLLLLL..LEEEEEELLLLH..HH..HHHHHHHHHLLL L K D D R R R E L E G 11. 1taq 112.60 LKLSWDLAKVRTdvDFAKRREPDRERLRAFLERLEFGSLLH..EFGLLES LLLHHHHHLLLLLLLLLLLLLLLHHHHHHHHHHLLLHHHHH..HHHHHLL YEL R I TV EL YI L E G AQ 12. 1bfd 112.20 VHGTTYELLR..............RQGIDTvnELprYI.LALQeaDGYAQA HHHHHHHHHH..............HLLLLEEHHHHEEE.ELLLHHHHHHHH RYEL DVSDA N V T L Y T G 13. 1aom_B 112.13 DNRYelaqDvsDAQYNeiYFevLRKGATGKALtdYLqiTYASPAGMPNW HHLLLHHLLLLHHHHHHHHHHLLLLLLLLLLLLHHHHHHLLLLLLLLLL N R F A WN WR R K KE E 14. 1cii 111.33 VnpRVDVFHGTPPA.wnEwrSDIEKRDKEITAYKNTlaQQKENENKRTEA LLLLLLLLLLLLLL.LLLLHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH I L V W QV ETV Y E A 15. 1gal 111.13 LIRSGNGlsTLVNGGTwrPHKAQV.DSWETvdNVAAY...SLQAERARAPN EELLELLLHHHLLLLELLLLHHHH.HHHHHLHHHHHH...HHHHEEELLLL IETV LKK PLT E 16. 1rth_A 110.60 SPIETVpkLkkQWPLTEEK....... LLLLLLLLELLLLLLLHHH....... RRY L D W IE L KYI EE Q 17. 1sqc 110.53 RRYLLHEQREDGTWALYPgdLDTTIEAYVAL.KYIGMSRDEEP..MQ. HHHHHHHLLLLLLLLLLLLLHHHHHHHHHHH.HHHLLLLLLHH..HH. R L V AD QV T EE P E E A 18. 1dmr 110.40 LLRRMLTLAGgvNGadYSTGAAQvpHVVGTLeeQQTAWPVLAENTEVmaDP HHHHHHHHHLLEEEELLLLLLHHHHHHLLLLLLLLLLHHHHHHHLLEELLH IN A N W I K Y LT E G 19. 1yge 110.20 INTSLPTLGAGESA.FnhFEWDGSMGIPGAFYIKNYmsLTLesNQGTIRF EELLLLLLLLLLEE.EEEEELLHHHLLEEEEEEEELLEEEELLLLLLEEE N DA D V N I EE KK IPLT G Q 20. 1oac_A 109.93 NNKLLSWQPIKDAhlDDFA.SVQNIINNSEEfkKVipLTvdGKDGLKQD LLEEEEEEEELLLLHHHHH.HHHHHHHLLHHHHHEEEELLLLLLLLLLL ================================== ALIGNMENTS ================================== 51 - 101 ....:....1....:....2....:....3....:....4....:....5 pred CVKSLRMAITPYYLSLIDPNDPNDPVRKQAIPTALELNKAAADLEDPLHED HH EE HHHHH EEEEE HHH BBOOBOBOBOOOBBOBBOOOOOOOBBOBBBBOOOOOBOOOOOOOOOOOOOO HHHHHHHHLLLLHHHHLLLLLLLLLHLHHLLLHHHHHLLLHHLHLLLHLLL L A L ND D R Q I TAL L ADL LHE 1. 1ahp_A 129.73 PLR.LWQATHAHPFDLTKFND.GDFLrqQGihTalRLMqsVAdlAgeLHEL EEE.EEEEELLLLLLHHHHHL.LLHHHHHHHLHHHHHHHHHHHHLLLLLLH C L I P S D N D VR A AL L AA L PL E 2. 5eat 118.47 cTSALqfNISPEIFsfQDENgaSdhVRTHalEDALalESAAPHLKSPLREQ HHHHHHLLLLHHHHHHELLLLHHLHHLLLLHLLHHHHHHHHHHLLLLHHHH V S MA P L L P DP P A P AL L A DLE L ED 3. 1pys_B 116.47 GVRSFGMALSPRElgLLepEdpGTPLS.EAWPeaLGLLGLARDleAALkeD LEEEELEELLHHHHLLLLLLLLLLEHH.HLLLLHHLHHHHHHHHLLLLLLL V S M L N P I L L K D E P E 4. 1ksi_B 115.67 IvsSFTmnVRTVRLdfMKESTVnrPITGITIVADLDLMKIVedIEapTAEN EEEEELLLLLEEEEEEELLLLLLLELLLEEEEEELLLLEEEELLLLLLLLL RM I D D I T E L E 5. 1hkc_A 114.60 .....RMCINTEWGAFGDDGSLED......IRTEfeIDRGSLNPGKQLFEK .....EEEEELLHHHLLLLLLLLL......LLLHHHHHHLLLLLLLLLLHH R A D P D V A AD D D 6. 1pkl_A 114.53 TINNVRQAAAELGVNilDTKGPedAVMERGATCYVTTDPAFAdtKDKFYID HHHHHHHHHHHLLLLLEELLLLLEEEELLLLEEEEELLHHHLLLLLEEEEL S R TP L I R IP A E L P 7. 1gln 114.07 PtqSERLPltPEELEQIRKEKGGYDGRARNIpeAEERARRGEplKVPRPGT LLLLLLLHHLHHHHHHHHHHHLLLLLHHHHLLHHHHHHHHLLLELLLLLLE V P D V IP E D H 8. 1bgv_A 113.73 TVEEVLSSLGP....VVDAHPEYEEveRMVIPevIEFRVPWEDDNGKVHVN HHHHHHHLLHH....HHHLLHHHHHLHHHLLLLEEEEEEEEELLLLLEEEE K L I Y S DP D R IP L A E PL E 9. 1csh 113.47 GMKGL...I..YETSVLDP.DEGIRFRGFSIPECQKLLPKAGGGEEPLPep LLLLL...L..LLLEEEEL.LLEEEELLEEHHHHHHHLLELLLLLLELHHL V SL P I P T E AAA E 10. 1req_B 113.33 GVTSLLLRVDP...DAIAPEHLDEVLSDVLLetKVEvqGAAAEALVSVYER LLLEEEEEELL...LLELLLLHHHHLLLLLLLLEEEEHHHHHHHHHHHHHL K L A P LS P V P AL L AA DL DPL 11. 1taq 112.60 SPKALEEAPWpfVLSRKEpaARGGRVHRAPEpkAldLKEaaKDldDplLDP LLLLLLEELLLEEELLLLLEEELLEEEELLLHHHHHLLLEHHHHLLHHHLL L A T L P A AL N AA L PL E 12. 1bfd 112.20 ASrnLhaAGTGNAmaLSNAWNSHSPlqTRAmvEALLTNVDAANLPRPlyea HHLEEEHHHHHHLHHHHHHHHHLLLELLHHHLLLLLLLLLHHHLLLLLELL SL YL L DP P K A D D 13. 1aom_B 112.13 WGTslqVDLMANYL.LLDPAAPPEFGMKE.MRESWKVHVAPEDRPTQQMND LLLLLHHHHHHHHH.HLLLLLLLLLLHHH.HHHHLEELLLHHHLLLLLLLL K L AI D N T N AADL L E 14. 1cii 111.33 AGKRLSAAIAAR......EKDEN......TLKTLRAGNADAAdlQAELReg HHHHHHHHHHHH......HHHHH......HHHHHHHLLLLHHHHHHHHHHH K A Y P D D V PT LHED 15. 1gal 111.13 NAK..QIAAGHYFNahAGPRDTGdaVEDRGVPTKKDFghGVSMFPNTLHEd LHH..HHHHLLLLLHEEELLLLLLHHHLLLLLELLLLLLEEELLLELELLL K L IT S I P PN PVRK IP L K D DPL ED 16. 1rth_A 110.60 .IKAL.VEitEMeiSKIGPENpnTPvrklGIPHPAGLKKKKsdVGdpLDEd .HHHH.HHHHHHHEEELLLLLLEELEEELLLLLHHHLLLLLEELHHELLLL K LR T L L P I LN A A 17. 1sqc 110.53 ..KALRfvFTRMWLALVGEYpeKVPMVPPEigKRMPLnwARATVVALSIVM ..HHHHHHHHHHHHHHLLLLLHHLLLLLHHHLLLLLLLHHHHHHHHHHHHH K I YL DPVRK A L AA DL D L 18. 1dmr 110.40 PIKTSQivIPEhylEALKAKGTkdPVrkPQTDVAIMLGMaaEDLYDklDGE HHHHLLLLELLLHHHHHHHHLLELLELLLLLHHHHHHHHHHLLLLLHHLLL VKS R A Y SL R E DL P E 19. 1yge 110.20 FvkSVrfANHTYVPslVsrEEELKSLRGNGTGERKEYDrvYNDLGNPDkeK EELLLEELLLLLLHHHHHHHHHHHHHHLLLLLLLLLLLLLELLLLLLLLHH L I YL D N P LE K E P 20. 1oac_A 109.93 DARLLKV.IS..YLDVGDGNYWAHPIENLVAVVDLEQKKIVKIEEGPV... LLLEEEE.EE..EELLLLLLHHHLELLLEEEEEELLLLEEEEEEELLL... ================================== ALIGNMENTS ================================== 101 - 151 ....:....1....:....2....:....3....:....4....:....5 pred DTDSPVPGLTHRYPDRVLLLITDMCSMYCRHCTRRRFAGQSDDSMPMERID E EEEEEEE EEEEEEEEEEEE HHHH OOOOOBBBBBBOBOBOBBBBBOBOBBBBBBBBBBOOBBOOOOOOOOOOOBO LLLLLLLLLLHLLLLHHEEEHLLLLLHHLLLLLLLLLLLLLLLLLLHHHHL D V L P RVL M T FA MP ER D 1. 1ahp_A 129.73 LADYEVIQLNDTHPtrVLIDEHQMSWDDAWAITSKTFAYTNHTLMplERWD HHHHEEEEEELLLHHHHHHHHHLLLHHHHHHHHHHHEEEELLLLLHLLEEE H RV I S Y RFA M R 2. 5eat 118.47 QVTHALEQCLHKGVPRvrFFIS...SIYDKEQSKnrFAKLDFNLLQmsRWW HHHHHHHLLLLLLLHHHHHHHH...HLLLLLLLLLHHHHHHHHHHHHHHHH D P T Y R L D M RH RF G ER 3. 1pys_B 116.47 DPEGA.PHFTLGYaqRALFavVDVTnmLErhAFDLRFVGEGIaaREGERL. LLLLL.LEEEEEEEHHHHHHHHHHHHHHHHEEEEHHHLLLEEELLLLLEE. T SP GLT P I F I 4. 1ksi_B 115.67 NTesPPFglTSHQPQGPGFQINGHSVSWANWKFHIGFDVRAGIVISLASI. LLLLLLLLEEEELLLLLLEEEELLEEEELLEEEEEEEELLLEEEEEEEEE. S V LL IT TR F SD S E 5. 1hkc_A 114.60 KMVSgvRLILVKMAKEGLLfiTP..ELL....TRGKF.NTSDVS.AIEklH HHLLHHHHHHHHHHHLLLLHLLL..LLL....LLLLL.LHHHHH.HHLLHH D S VPG D L L T R C A D 6. 1pkl_A 114.53 DYqsKvpGNYIYIDDGILIlvTNSHTISDRrcDVDLPAVSAKDRVDLqgVE LLLHHHLLLEEEELLLLEEEELLLEEEELLLLLLLLLLLLHHHHHHHHHHH T G PD V LL D Y A DD M D 7. 1gln 114.07 TTedELRGvnQEIPD.VVLLKSDGYPTY.......HLANVVDDHL.MGVTd EEEELLLEELLLLLL.LEEELLLLLELH.......HHHHHHHHHH.HLLLE T V GL R V L I F S PM 8. 1bgv_A 113.73 NTGYRvgGL..RFAPSVNLSIMKFLGF......EQAF.KDSLTTLPMGGAK EEEEEEEEE..EELLLLLHHHHHHHHH......HHHH.HHHHLLLLLLEEE T V R L T PM 9. 1csh 113.47 pTPEQVSWVSKEWAKRAAlvVTMLDNF.............PTNLHPMSQLS LLHHHHHHHHHHHHHHLLLHHHHHHHL.............LLLLLHHHHHH D P L D L TD RR A S DS ID 10. 1req_B 113.33 RSDKPAKDLALNLgdPiaLQGtdLTVL...GDWVRRLAKFSPDSRAVT.ID LLLLLHHHLLEEEELHHHHHLLLLLLH...HHHHHHLLLLLLLLEEEE.EE G RY R LL Y R R A R D 11. 1taq 112.60 PSNTTPEGVARRygERAAllFANLwwLY.REVERPLSAVLAHMEATGVRLD LLLLLHHHHHHHLHHHHHHHHHHHHHHH.HHLHHHHHHHHHHHHHHLEEEL VPGL Y D RH R Q D 12. 1bfd 112.20 aSAAEVpglSVPYDDWDKDADPQSHHLFDRHVSSsrLNDQDLDILV..... LLHHHHHLEEEEHHHLLLELLHHHHHHLLLLLLLLLLLHHHHHHHH..... D D T R L IT Y H R G R 13. 1aom_B 112.13 DWDLelFSVTLRDAGQIALiitVLDTGYAVHISRLSASGRY..LFVIGRDG LLLHHEEEEEEHHHLEEEEEEEEEELLLLEEEEEELLLLLE..EEEEELLL G R L D S R Q D 14. 1cii 111.33 gFRTEIAGYDarLHTESRMLFADADSLRISPREARSLIEQAEKRqdAQNAd HHHHHHHHHHHHHHHHHHHHHHHLLLLLLLHHHHHHHHHHHHHHHHHHHHH D D L Y L T Y G E 15. 1gal 111.13 dsDAAREWLLPNYQRPNLQVLT...GQYVGKVLLSQ.NGTTPRAVGVegTH LLLHHHHHLHHHLLLLLEEEEL...LLEEEEEEEEL.LLLLLEEEEEEEEE D PG RY VL T F Q D D 16. 1rth_A 110.60 diNNETPGI..RYQYNVlqGWKGSPAIFQSSMTkePFRKQNPDIVIYQYMD LLLLLLLLE..EEEELELLLLLLHHHHHHHHHHHHHHHHHLLLEEEEEELL PV L R RV L TD RRR A D 17. 1sqc 110.53 MSRQPVFPLPER..ARveLYETDV.......PPRRRGAKGGGGWI.FDALD HHHLLLLLLLHH..HLLHHLLLLL.......LLLLLLLLLLLLHH.HHHHH TDS VP T R SM H SM I 18. 1dmr 110.40 ETdsGVPAETIKELARLftMLAAGWSmrMHHGEQAHWMLVTLASM.LGQIG LLLHLLLHHHHHHHHHHHEEEEELLHHLLLLLHHHHHHHHHHHHH.HLLLL PV G T YP R TD Y S D I 19. 1yge 110.20 KLARPVLgsTFPYPRRGRttVTDPNtfYVPRDENLGHL.KSKDALelSQie HHLLLLELLLLLLLLEELLLLLLLLLLLLLHHHLLLLL.LHHHLHHHHHLH PVP T R PDRV I Y R D M R 20. 1oac_A 109.93 ...VPVP.MTAR.pdRvmQIIEPEGKNytGDMIHWR...NWDFHLSmsRVG ...LLLL.LLLL.LLEELEEELLLLLLEELLEEEEL...LEEEEEEELLLE ================================== ALIGNMENTS ================================== 151 - 201 ....:....1....:....2....:....3....:....4....:....5 pred DKAIDYIRNTPQVRDVLLSGGDALLVSDETLEYIIAKLREIPHVEIVRIGS HHHHHHHHH EEEEE HHHH HHHHHHHHHHHHH EEEEEE OOBBBBBOOOOOBOOBBBBBBOBBBBOOOOBOBBBOOBOOBBBBBBBBBBB LHHHHHHLLLLLHHHHHHLLLLHHHHLLLHHHHHHHHHLLLLLLLEEHLLL D P LV T E AKL H V 1. 1ahp_A 129.73 D..VKLVKglPRHMQIiiNTRFKTLV.EKTweKVWAKL.AVVHDKQVHMAN E..HHHHHHLHHHHHHHHHHHHHHHH.HHHLLLLHHHH.LLELLLEEEHHH K D P RD AL V E Y A I IV 2. 5eat 118.47 WKDLDFVTTLPYARDRVVECYfaLGVYFEP.QYSQArvKTISMISIveLEA HHLLLHHHHLLLLLLLHHHHHHHHHHLLLH.HHHHHHHHHHHHHHHHHHHH K D T D GG V T E I V I R G 3. 1pys_B 116.47 .KTLDGVERTLHPEDLVIAggEESfvREDT.EAIALEVACFDPVSirRHGL .EELLLLEEELLLLLEEEEELLEEELLLLL.LEEEEEEEELLHHHHHHLLL Y R VL G L V D T E G 4. 1ksi_B 115.67 .....YDLEKHKSRRVLYKgiSELFvqDPTEEFY...FKTFFDSGEFGFGL .....EELLLLEEEEEEEEEEEEEEELLLLLLLL...LLEELHHHHHLLLL A P V V S A LV TL I LR P V GS 5. 1hkc_A 114.60 HNAKEILTrepsVQHviVSFRSANLVA.ATLGAILNRLRdtPRltTVGvgs HHHHHHHHHLLHHHHHHHHHHHHHHHH.HHHHHHHHHHHHLLLEEEEEELH D IR QV DV G D I E R G 6. 1pkl_A 114.53 EQGVdfIRSAEQVGDVRKagRDIMIinHQGVQNIDSIIEESDGIMVArlGV HHLLLLLLLHHHHHHHHHHHLLLEEELHHHHHLHHHHHHHLLEEEELHHLL D A TP VLL A Y LR I S 7. 1gln 114.07 drAEEWLVSTP..IHVLLYR..AFGWEAPRF.YHMPLLRNPDKTKISKRKS EEEHHHHHHHH..HHHHHHH..HLLLLLLEE.EEELLLELLLLLLLLLLLL D N R V GD L V Y R I V G 8. 1bgv_A 113.73 KGGSDFDPNGKSDREVmvPAGD.LGVGAREIGYMYGQYRKI..VG....GF EEEELLLLLLLLHHHHHEEELE.LLELHHHHHHHHHHHHHH..HL....LL AI G V IAKL P V R GS 9. 1csh 113.47 SAAITALNSESNFARAYAEGINRtfVYEDAMD.LIAKL...PCvnLYRAGS HHHHHHHHHHLHHHHHHHLLLLHHHHHHHHHH.HHHHH...HHHHHHLLLL D I V L G AL V IA LR RIG 10. 1req_B 113.33 DANIYHNAGAGDVAEllATGAeaLvvTATHDQFliARLRAL.REAWARIGE ELHHHHLLLLLHHHHHHHHHHHHHHEEELLLHHHHHHHHHH.HHHHHHHHH D A Y R VR V G L S LE L I E S 11. 1taq 112.60 DVA..YLRasLEvreVFRLAGHPflNSRDQLERVllGLPAIGKTEKTGKRS LHH..HHHHHHHHHHHHHLLLLLLLLLLHHHHHHLLLLLLLLLLLLLLHHH KA N V DV A E L A P 12. 1bfd 112.20 .KALNSASNPAIvpDVDAANANavMLA.ERLK...APVWVAPSAPRCPFPT .HHHHHLLLLEEEHHHHHHLLHHHHHH.HHHL...LLEEELLLLLELLLLL K ID V G A EY IA E I S 13. 1aom_B 112.13 GkmIdwMKEPTTVAEIKI.GSEARSIETSKMeyAIAgiMDGETLEPKKIQs LEEEELLLLLLEEEEEEL.LLEEEEEEELLLLEEEEEEEELLLLLEEEEEE DKA D LLSGG AL V D KL R 14. 1cii 111.33 dkAADMLAEYERRKGIllsgGAALAVLDAQQARLlnKLSSveSLNTARNat HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH K NT V VLL G A VS LEYI L I V G 15. 1gal 111.13 HK.....GNTHNvhEVLLAAGSA..VSPTILEyiLEPL.GIDTVVDLPVgd EL.....LEEEEEEEEEELLLLL..LHHHHHHHHHHHH.LLLLLELLLLLL D I R R LL G L D E P 16. 1rth_A 110.60 DdeIGQHrkIEELRQHLLRWG..LTTPDKKHQ......KEPPFLWmlHPDK LELHHHHHHHHHHHHHHHHLL..LLLLLHHHL......LLLLEEELEELLE D A Y R RD LL GDAL D T I L E VE GS 17. 1sqc 110.53 DRALhyfRRAAEIrdWLlqAGdaLKILDMTqaFiwEGL.ELYGVELDYGgs HHHHHHLHHHHHHHHHHHLLLLHHHHLLLLLHHHHHHH.HHHEEELLLLLE Y TP L GG A E L I RE P E G 18. 1dmr 110.40 GLplSYHYstPSTSGPALAggGAATKGPEWlaSVIPVAreNPGAEFDFNGT LLLLLLLLLLLLLLLLLLLLLHHHLLLLLLLLLEEEHHHHLLLLEEEELLE A D TP DVL GG L S L II K PHV V S 19. 1yge 110.20 eSAFD.LKSTpsFQDvlYEGGIKlvIStiPLPViiLKFPQ.PHV..VQV.S HHHHH.LLLLLLHHHHHHLLLEELHHHHLLLLLHEEELLL.LHH..HLL.L I R V GGDA L S TL IA P I 20. 1oac_A 109.93 GPMISTvnDNGTKRKVMYEggdaYLDSGdtLTSPIARGKDAPSNAVltIAD EEEEEEEEELLEEEEEEEEELLEELHHHHLLELLLLLLLLLLLLLEEEEEL ================================== ALIGNMENTS ================================== 201 - 251 ....:....1....:....2....:....3....:....4....:....5 pred SRTPVVLPQRITPELVNMLKKYHPVWLNTHFNHPNEITEESTRACQLLADA EE HHHHHHHHHHHH EEEEE HHHHHHHHHHHHHHHH BOBBBBBBOOBBOOBBOBBOOOOOBBBBBBBBBBOOBOOOBOOBBOOBOOB LLLLHHLLLLLLHHHHHHHHLLLLLEELLLLLLLLLLLLLLLHHHHHHHLL VV LV YH W N N N IT C A 1. 1ahp_A 129.73 NLCVvvAA..LHSDLvdLFPEYHQLWPNKFHNVTNGITPRriKQCN...PA HHHHHLLH..HHHHHHHLLHHHHHHLLLLEEELLLLELHHHLLLLL...HH T I L K L E S C 2. 5eat 118.47 AYTDAIQRWDINerLPDYMKISYKAILDLYKDYEKELSSasHIVCHAIERM HHHHHHHHLLHHHHLLHHHHHHHHHHHHHHHHHHHHLLLLHHHHHHHHHHH RTP V QR L L L P I A LL 3. 1pys_B 116.47 LRtplvPAQRRALSLLQAlaRVAEALLEAGskPPEAIPFRPEYANRLLGTS LLLLLHHHHHHHHHHHHHHLEEELLLEEELLLLLLLEEELHHHHHHHHLLL T P R P Y P LN HPNE EES L 4. 1ksi_B 115.67 LSTVSLIPNRDCPPHAQFIDTytPILlnIMWRhpNESIEESRTEVNLIVRT LLELLLLELLLELLLLEEEEEELEEEEEEEEEELLLLEEEEEEEEEEEEEE S T R L L E S 5. 1hkc_A 114.60 skTHPQYSRRFHKTLRRLVPDSDVRFL.........LSEssGKGAAMVTAV HHHLLLHHHHHHHHHHHHLLLEEEEEE.........ELLLLHHHHHHHHHH PVV Q I N K PV T TRA A A 6. 1pkl_A 114.53 VEIpvVVAQKILISKCNVAGK..PVICATQMLESMTYNPRPTRA.EvvANA LLLLHHHHHHHHHHHHHHHLL..LEEELLLLLHHHHLLLLLLHH.HHHHHH S T PE L Y L F P EI EE A 7. 1gln 114.07 SHTSlyKAEGFLPE...ALRNY..LCL.MGFSMPdeilEEFIQA...FTWE LLLEHHHHLLLLHH...HHHHH..HHH.LLLLLLLLLHHHHLLL...LLHH V LV Y V H N T A LA 8. 1bgv_A 113.73 FYNGVLtaRSFGGSLVreATGYGSvyVEAVMKHENDTLVGKTVA...LAGF LLHHHLLLHHHLLLLLLLHHHHHHHHHHHHHHHLLLLLLLLEEE...ELLL S NML P L H H T A LA 9. 1csh 113.47 SSIG.AIDSKlsHNFTNMLGYTDplYLTIHSDHEGGNVSAHTsaMNGLAGP LLLL.LLLLLLHHHHHHHHLLLLHHHHHHLLLLLLLLHHHHHHHHHHHLLL V RIT ELVN L IT T A LL 10. 1req_B 113.33 EVFGVDEDKritrElvNILRGSIATF.SASVGGAESITtpFTQA..llPED HHHLLLHHHLEELLLHHHHHHHHHHH.HHHHHLLLEEELLLLLL..LEELL S VL I EL YHP L T FN T TR C L 11. 1taq 112.60 STSAAVLeeKIlrELTKLKSTyhpgRLHTRFNQ....TATAtrLcpNLQNI HHHHHLLLHHHHHHHHHHHHHHLLLLELLEEEL....LLLLLLLELLHHHL R P P I L PV P TR C L A 12. 1bfd 112.20 TRHpgLMPAGI.AAISQLLEGHdpVFRYHQYD.PGQYLKPGTrtCDPLEAA LLLLEELLLLH.HHHHHHHLLLLLLLLLLLLL.LLLLLLLLLEELLHHHHH SR L PE VN K L N A L D 13. 1aom_B 112.13 srVAAILASHYRPeiVNV..KETGKILLVDYTDLNNLKTTEISAERFLHDG ELEEEEEELLLLLEEEEE..LLLLEEEEEELLLLLEEEEEEEELLLLEEEE R L Q TP K V F IT RA LL 14. 1cii 111.33 tRAEQQlqQKNTPDGKTIveKFPgvSGDPRFAGTIKITTSanRANllLSHS HHHHHHHHHHLLHHHHHHHLLLLELLLLLLLLLEEEEEEEELHHHHHHLLL T RIT W T FN S A LL 15. 1gal 111.13 dQTTATVRSRITSAGA...GQGQAAWFAT.FN..ETFGDYSEKAHELLNTK LLEEEEEEEEELHHHL...LELEEEEEEE.HH..HHHHHHHHHHHHHHHHH TP VLP VN K L N IT T L A 16. 1rth_A 110.60 KWtpIVLPEK.DSWTVNDIQK.....LVGKLNWASQitKALTEVIPLTEEA EEELLLLLLL.LLEEHHHHHH.....HHHHHHHHLLLLLLLLLEELLLHHH S PVVL R P L K WL IT A L 17. 1sqc 110.53 sISPvvLALRalPADHDRLVK.AGEWL...LDR..QITVPGDWAVKrlKPG ELLHHHHHHHHLLLLLHHHHH.HHHHH...HHL..LLLLLLHHHHLLLLLL R V V VWL T H T A A 18. 1dmr 110.40 TRsdVKMAYWVGgpFVHHQDRNRMvwlETFVVHDFQWTPTARHA.DIVLPA EEELLLEEEEELLHHHHLLLHHHHHHLLEEEEEELELLHHHHLL.LEEEEE S E VN L P L IT S D 19. 1yge 110.20 SQSAWMTDEEFAREmvngLEEFPPKslDPAidQSSKITADSLDLDGYTMDE LLLHHHLHHHHHHHHLLELLLLLLLLLLHHHLLLLLLLHHHLLLLLLLHHH T V P I P Y P PN TE DA 20. 1oac_A 109.93 DYTGV..PMEI.PRAIAVFERYapEYKHQEMGQPNVSTERRELVVRWIsdA LLLLL..EEEE.EEEEEEEEEEEEEEEELLLLLLLEEEEEEEEEEEEEEEE ================================== ALIGNMENTS ================================== 251 - 301 ....:....1....:....2....:....3....:....4....:....5 pred AGVPLGNQSVLLRGVNDCVHVMKELVNKLVKIRVRPYYIYQCDLSLGLEHF EE EEEEEEE HHHHHHHHHHHHHH EEEEEEEEE EE BBBOBBBBBBBBOBBBOBBOBBOOBBOOBBOBOBOBBBBBBBOOOOBBOOB LLLLLLLLLHHHLLLLLLHHHHHHHHHHHHHHLLLLLHEELLLLLLLLHHH A L S ND L N LVK R YI Q L F 1. 1ahp_A 129.73 ALAALLDKSLQKEWAND....LDQLIN.LVKlkFRDLyiKQAN.KVRLAEF HHHHHHHHHLLLLLLLL....HHHHHH.HHHHHHHHHHHHHHH.HHHHHHH N V G V L N L YY LG F 2. 5eat 118.47 MKEVVRNYNvfIEGYTP..PVSEYLSNALA...TTTYYYLATTSYLGmqDF HHHHHHHHHHHHHLLLL..LHHHHHHHHLH...HHLHHHHHHHHLLLLHHH P Q L C LV I Y L L F 3. 1pys_B 116.47 S.YPEAEQIAILKRL.GclRLEEDLVEEVARIQG.....YE.TIPLAlaFF L.LLHHHHHHHHHHL.LLLLLHHHHHHHHHHHHL.....HH.HLLLLLLLL V GN S L G KEL KLV I YIY D HF 4. 1ksi_B 115.67 TIVTVGnpSIALSGILehKDEIKelHGKLvgIYHDHFYIYYLDFDIDGThf EEEEELLEEEEEEELLLLHHHLLLLLEEEEEELEEEEEEEEEEELLLLLEE L Q H K VK R R L L L F 5. 1hkc_A 114.60 VAYRLAEQHRQIEETLAHFHLTKDMLLE.VKKRMRA....EMELGLrlPSf HHHHHHHHHHHHHHHHHLLLLLHHHHHH.HHHHHHH....HHHHHHLEELL A V G V L G E V I Q L F 6. 1pkl_A 114.53 A.VFNGADCVMLSGETAKGKYPNEVVQYMARICLEA....QSALN.EYVFF H.HHHLLLEEEELHHHHLLLLHHHHHHHHHHHHHHH....HHHLL.HHHHH V LG V LR N E V RV P LS E 7. 1gln 114.07 ERVSLGG.PVflRWMNG..KYIREVLseEVAERVKP.FLREAGLSWESEAY HHLLLLL.LELHHHHHH..HHHHHLLLHHHHHHLHH.HHHHLLLLLLLHHH G LG V L G E N R Q D G F 8. 1bgv_A 113.73 FgaELGAKAVTLSGPDGYIytTEEKINYMLEMRASGRNKVQ.DYafGVQFf LLHHHLLEEEEEEELLEEEELLHHHHHHHHHHHHHLLLLLH.HHHHLLEEE L NQ VLL K L R YI L G 9. 1csh 113.47 PLHGLANQEVLLW.LS...QLQKDLGADASDEKLRD.YIWN.TLNSgvPGY LLLLLHHHHHHHH.HH...HHHHHLLLLLLHHHHHH.HHHH.HHHLLLLLE PL N L VND V KE V KL V C L 10. 1req_B 113.33 DDFPlrNTGIVlgRVNdyVESlkEfvEKLGGmhVTK.VLDAceRAKRLANR LLHHHHHHHHHHLLLLLHHHHHHHHHHHLLLHHHHH.HHHHHHHHHHHHLL VPLG RG L RV LS G E 11. 1taq 112.60 IPvpLGQR..IRRgiAEEGWLLVALDYSQIELRVLA......HLS.GDENL LLLHHHHH..HHLLELLLLEEEEEEEEELHHHHHHH......HHH.LLHHH A P G S L V K R P E 12. 1bfd 112.20 ARAPMGdaSALANLVEESSRQLPTAAPEPAKvrLHPETVFDTLNDMAPeyL HHLLLLEHHHHHHHLLLLLLLLLLLLLLLLLLLELHHHHHHHHHHHLLLEE G G N V KLV I V P D S LE 13. 1aom_B 112.13 GGLD.GSHRYFITAAnnKLVVIDTKEGKLVAIevHPTfvWAtdDSVAleGH EEEL.LLLLEEEEEEHLEEEEEELLLLEEEEEEEELLLEEEELLEEEELLL G L V V V K R R LSL LE 14. 1cii 111.33 SGLdlNDRnvVTEDVEGDKKIYNAEVAEWDKLRQraVNSARNNLslaleNI LHHHLLLLLLLLLLHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH V G N V V Y L LG F 15. 1gal 111.13 KLEQWAEEAVARGGFHNTTALLIQYEnwIVNHNV.AYS....ELFlgVASf HHHHHHHHHHHLLLLLLHHHHHHHHHHHHHLLLL.EEE....EEEELEEEE A L N L GV K L K Y IYQ L G 16. 1rth_A 110.60 AELEleNREIlvHGVY..YDPSKDLIAEIQK.QGqtYQIYqkNLKTgyARM HHHHHHHHHHLLEELL..LLLLLLLEEEEEE.EELEEEEEEEEEEEEEELL G V V D V L N L L E 17. 1sqc 110.53 GGFAFQFDNVYYPDVDDTAVVVWAL.N...............TLRLPDerR LLLLLLLLLLLLLLHHHHHHHHHHH.H...............HLLLLLHHH A G N MK V L R Y I 18. 1dmr 110.40 ATTSYERNDIETIgsNTGILAMKKIVEPLYEAR.SDYDIF........AAV ELLHHHLLEEEEELLLLEEEEELLLLLLLLLLE.LHHHHH........HHH LG D V L K R P I DLS 19. 1yge 110.20 E..ALGSRRLFMLDYHdyVRQINQLNskTYATrlKPVAisAGDLSAAVSQV H..HHHLLLEEEEELHHHHHHHHLLLLLLLEEEEEEEEELLLLLLLLLLEE AG G V GV K K R Y G HF 20. 1oac_A 109.93 AG.ATGIEAV..KGVK.....AKTMHDETAKDDTR..ylIDHNI.VGTThf EE.EEELLLE..EELL.....LLLLLLLLHHHHLL..LEEELLE.EEELEE ================================== ALIGNMENTS ================================== 301 - 351 ....:....1....:....2....:....3....:....4....:....5 pred FRTPVSKGIEIIEGLRGHTSGYCVPTFVVDAPGGGGKTPVMPNYVISQSHD EEE HHHHHHHHHHHHH EEE EEEEEEEEEE BOBBOOOBBOBBOOBOOOBBBBBBBOBBBOBOOOOOOBBBBOOBBBOOOOO HLLLHLLLLHHHHLLLLLLLLLLLLHEEELLLLLLLLLLHLLHHHHLLLLL F V GI II LR VP F A GK VI D 1. 1ahp_A 129.73 F.VKVRTGIDiiKRlrENPQADRVpvFLFGAKAAPgkNIIFaaDVINNDpd H.HHHHHLLLLELLLHHLLLLLLLLEEEEELLLLLLHHHHHHHHHHHHLLH F SK I E C T V G T M Y IS 2. 5eat 118.47 FEW.LSKNPKILE....ASVIIctATYEVEKSRGQIATGimRDYGIS...T HHH.HHLLLHHHH....HHHHHHHHHHHHHHHLLLLLLHHHHHHLLL...H F P G E LR SG V T P P 3. 1pys_B 116.47 FPAPDNRGVEaeQRLREVLSGLgvYTYSFMDPEDARRFRLDPPRLlpLAPE LLLHHHLLLLHHHHHHHHHHHHLLLLLLEELLLHHHHLLLLLLLLELLLHH F K I G S T VV A GG P P D 4. 1ksi_B 115.67 fEKTSLKTVRIKDGSSKRKSYWTTEtlVvtAVggYRLIPAIPAHPLLTEDd EEEEEEEEEELLLLLLLLLEEEEEEEEEELLLLEEEEELLLLLLLLLLLLL FRTP G E L G V G T M NY I D 5. 1hkc_A 114.60 frTP..DGTENGDFLALDLGGTNFRVLLVKIRSGKKRTVEMHnyAieELFD LLLL..LLLLLEEEEEEEELLLEEEEEEEEEELLLLLEEEEEEEELLLHHH F I L P A V N V 6. 1pkl_A 114.53 FNS........IKKLQ......HIP...MSADEAVCSSAV..NSV.YETKA HHH........HHHHL......LLL...LLHHHHHHHHHH..HHH.HHHLL E R T F A Y S 7. 1gln 114.07 Y...LRRAVELMRP.RFDT....LKEFPEKA.....RYLFTEDYPVSEKAQ H...HHHHHHHHHH.HLLL....HHHHHHHL.....HHHLLLLLLLLHHHH F P II Y V P PN V S 8. 1bgv_A 113.73 feKPWGQKVDIikKIVANNVKYYIE..VANMPTTNEALRFlpNMVVAPSkg ELLHHHLLLLEEHHHHHLLLLEEEL..LLLLLELHHHHHHHLLLEEELHHH V LR YC F K PN Q 9. 1csh 113.47 YGHAV.........LRKTDPRycQREFALKHLPSDpklkIVPNVLLEQGKA ELLLL.........LLLLLHHHHHHHHHHHHLLLLHHHHHHHHHHHHHLLL P E G S TF AP G V S S 10. 1req_B 113.33 RKQPITAVSEF..PMIGARS...IEtf.PAAPARKgdSEVFEQLmtSVsrP LLLLLELLLEL..LLLLLLL...LLEL.LLLLLLLLLLHHHHHHHHHLLLL G I G VP VD KT V Y SQS 11. 1taq 112.60 LIRVFQEGRDIHTETASWMFG..VPREAVDpmRRAAKtgVL..YGMsqSFP HHHHHHHLLLHHHHHHHHHHL..LLHHHLLHHHHHHHHHHH..HLLLHHLH S L G C F A G V NY IS 12. 1bfd 112.20 LNESTSTTAQMWQRLNMRNPgfCAagFALPAAIgePERQViaNYSISALWT EEELHHHHHHHHHHLLLLLLLELLLLLHHHHHHHLLLLLEEHLLLHHHHHH K L G S Y V F A G GKT I 13. 1aom_B 112.13 HPDNAWKILDSFPALGGGssQysVAVFDIKAMTGDgkTLPIAEWaiTEGQP LHHHELLEEEEEELLLLLLLLELEEEEEHHHLLLLLEEELHHHHHLLLLLL R S GI I E L TF G K Q 14. 1cii 111.33 IRNQLS.GikIAeeLKATKDAINFTtfLKSVSEkgAKAEQLAREMAGQAKG HHHHHH.HHHHHHHHHHHHHHHHHHHHHHHHHHHLLHHHHHHHHHHHLLLL F P G I L H Y F D G T N IS S 15. 1gal 111.13 flLPFTRgvHILDkl..HHFAYDPQYFllDLLGQAAATQLARN..ISNS.. ELLLLLLEEEELLLH..LLEEEELLLLLHHHHHHHHHHHHHHH..HHLL.. R E T V GKTP P 16. 1rth_A 110.60 MRGAHTNDvqLTEAVQKITT....ESIVI.....WGKTpkLpeTWWTEYWQ LLLLEELHHHHHHHHHHHHH....HHHHH.....HLLLLEELHHHHHHLLL R KG I G G P FV D P V D 17. 1sqc 110.53 RRDAMTKGFRWIVGMQSSNGGwhIpdfvTDPPSEDVTAHVLECFGSFGYDd HHHHHHHHHHHHHHHLLLLLLLHLLLLLLLLLLHHHHHHHHHHHHHLLLLL KG E EG G F DA G VMP V S D 18. 1dmr 110.40 VAERLGKGAEFTEG..KDEMGW.IKSFYDDAAKQGKAAGvmpdFVRYASfd HHHHLLLHHHHHLL..LLHHHH.HHHHHHHHHHHHHHLLLLLHLLLLHHHL P G E I L S Y FV V P Y 19. 1yge 110.20 VVLPAKEGVetIWLLAknDSCYhmEPFVIATH...RHLSVlpHYRNNMNIN EELLLLLHHHHHHHHHHHHHHHHHHHHHHHHH...HHLLLLHHHLLHHHHH FR G S V GG T M Y I D 20. 1oac_A 109.93 fRLDLD.....VDG..ENNSLVAMDPVVKPNTAGGPRTSTMqqYNIGNEQD EEEEEL.....LLL..LEEEEEEEEEEEEELLLLLLLLEEEEEEEELEHHH ================================== ALIGNMENTS ================================== 351 - 401 ....:....1....:....2....:....3....:....4....:....5 pred DKVILRNFEGVITTYSEPINYTPGCNCDVCTGKKKVHKVGVAGLLNGEGMA EEEEEE EEEEE EEEE EEEEE E OOBOBOBBOBBBBBBOOOOOOOBOOOOOBBOOOOOOOOBBBBBBBOOOOBB LHHHHHHHLLLHLLLLLLHLLLLLLLLLHHLLLLLHHHHHHHLHHLLLLHH DKV L E I SE I T G TG K G G L G 1. 1ahp_A 129.73 dkvFLPDyeKLiaDISEQIS.TAG.KEASGTGNMKLALNgtVGTLDGANVE HHEEELLLHHHHLLEEEELL.LLL.LLLLLLHHHHHHHLLEEEELLLHHHH K F T IN TP T V V N G 2. 5eat 118.47 TKEAMAKFQNMAETAWKDINetPV.STEFLTPILNLArvEVTYIHNLDGYT HHHHHHHHHHHHHHHHHHHHHLLL.LHHHLHHHHHHHHHHHHLLLLLLLLL K LR F G E N D VG AGLL GEG 3. 1pys_B 116.47 EKAALRtfPGLVRVLKE........NLDLDRPERalFEVglAGLLFGEG.. HHLEELLHHHHHHHHHH........HHHHLLLLEEEEEEEEEEEEEELL.. D N T Y G DV T V KVG LL 4. 1ksi_B 115.67 drGAFTNYNVWVTAYNRTEKWAGGLYVdvWTKQNrvNkvgiMPLLS.TSFE LHLHHHHLLEEEEELLLLLLLLLLLLLEHHHHHLLLLEEELLLLEE.EELE D F T S PI T G CDV T V NG MA 5. 1hkc_A 114.60 DHIviSDFLDYMgtFSFpiTWTKgtDcdVVtkRREEFDLDVVAVVngTMma HHHHHHHHHHHLLEELLLLLLLLLLLLEHHHHHHLLLLEEEEEEELHHHHH KV L N T S Y P NC VCT GV EG A 6. 1pkl_A 114.53 AkvVLSN.....TGRSARlkYRP..NCpvctRLQTCRQlgVESVfhDEgvA LLEEELL.....LLHHHHHHLLL..LLLEELLHHHHHHHLEEEEELLLLHH L T G K V K GVAG L G 7. 1gln 114.07 QRKllPLLKELYPRLRAQEEWTEAALEALLRgeKGV.KLgvagSLETPGli HHHHHHHHHHHHHHHHHLLLLLHHHHHHHHHHHHLL.LLHHHLLLLLLLHH V FE SE T V K H V G A 8. 1bgv_A 113.73 gGVLVSGFE..MSQNSERLSWTAE...EV...DSKLHQV.MTDIHDGSAAA HHHHHHHHH..HHHHHHLLLLLHH...HH...HHHHHHH.HHHHHHHHHHH K N GV Y NYT V G V A L G 9. 1csh 113.47 AKNPWPnhSGVLLQYytEMnyT......VLFGVSRALGV.LAQLirALGFP LLLLLELHHHHHHHHLLLHHHH......HHHHHHHHHHH.HHHHHHHLLLL KV LR F G S P G G K GVA L A 10. 1req_B 113.33 PKVFlrDFGGR.EGFSSPVWHIAGIDTPQVEGgeAFKKSgvADLCSSAKva LELEEHHHHHH.HHHHHHHHHHLLLELLEEELLHHHHHHLEEEEELLHHHH KVI EG T Y P D K V G A L M 11. 1taq 112.60 PKviEKTLegYVETLFGRRRYVP....DLEARVKSVREagTAADLMKLAMv HHHHHHHHHLEELLLLLLLEELH....HHLLLLHHHHHHHHHHHHHHHHHH VI N G TY G V V V GL G G A 12. 1bfd 112.20 TavIMNN..G...TY.GALRWFAG....V.LEAENVPGLDVPglAKGYGva HHEEEEL..L...EL.HHHHHHHH....H.LLLLLLLLLELLLHHHHLLLE V F G S V GK V 13. 1aom_B 112.13 PRVVQGEfdGTEVWFS............VWNGKDQESALVV...VDDKTLE LEEEEEEELLLEEEEE............EELLLLLLLEEEE...EELLLLE K I RN E TY Y N KK A A 14. 1cii 111.33 GKKI.RNVEEALKTYE...KYRADIN.......KKINAKDRAAI....AAA LLEL.LLHHHHHHHHH...HLHHHHL.......LLLLLHHHHHH....HHH F G E INY C VGV GL G 15. 1gal 111.13 .GAMQTYFAGelSAWTEYinYHGVGTCSMMPKedNAARvgVQGLRVIDG.S .HHHHHLEEEEHHHHHHHHLLLLELLLLELLHHLLLLEELLELEEELLL.L E V T Y EPI Y G K G AG G A 16. 1rth_A 110.60 QATWIPEWEFVNTpyqePIvyVDG.......AANRETKLGKAGYVTNRglA LELLLLLEEELLLLLLLLLLEEEE.......EEELLLLEEEEEEEELLLHH DKVI R E P G GV L G G A 17. 1sqc 110.53 dkVIRRAVE.YLKREQKPDGSWFG.............RWGV.NYLYGTGaa LHHHHHHHH.HHHHHLLLLLLLLL.............LLEL.HHHHHHHHH D L G I YSE Y D C H LL G G A 18. 1dmr 110.40 dPLllGTPTGLIEIYseKMGY......DDC....PAHPTWMEPllDGPG.A LLLLLLLLLLLEELLLHHHLL......LLL....LLLLLLLLLLLLLLL.L L N G I T P Y V K V K GVAG L E 19. 1yge 110.20 NAlsLINANGIIETTFLPSKYSVEMSSAVY..KNWVfkRGVagvlLIEDYP HHHHLLLLLLHHHHHLLLHHHHHHHHHHHH..LLLLHHLLLELEELLLLLH D F G I S P Y G V G H V GE 20. 1oac_A 109.93 DAA..QKFdgTIRLLsnPVSYqaGGTHPVAKGAqiYHRLsvTRYHPGERF. HHL..ELLLLLEEEEELEEEEEEEELLLELLLLLHHHHLHEEELLLLLLL. ================================== ALIGNMENTS ================================== 401 - 416 ....:....1....:....2....:....3....:....4....:....5 pred ALEPVGLERNKRHVQE E BBOBOOBOOBOOOBOO HHHHHLLLLLLLLLHH E VG E N V 1. 1ahp_A 129.73 EieKVG.EEngHTVKQ HHHHHL.HHHLLLHHH L K H 2. 5eat 118.47 THPEEVL...KPHI LLHHHHH...HHHH VGL K 3. 1pys_B 116.47 ....VGLPWAKERLS ....EELLLLLLEEL L P ERN R V 4. 1ksi_B 115.67 ELRPTnfERnpRDV EEEELLLLLLLLEL A E VG N E 5. 1hkc_A 114.60 aYEevGTGSNACYMEE HLLLELLLEEEEEEEE A V K VQ 6. 1pkl_A 114.53 A.AGVEFAKSKGYVQT H.HHHHHHHHLLLLLL L G ER R 7. 1gln 114.07 iLALLGKERALRRLE HHHHHLHHHHHHHHH A E GL N 8. 1bgv_A 113.73 AAERYGLGYN HHHHLLLLLL LE GLE 9. 1csh 113.47 PLetAGLEK LLLHHHHHH A GLE K 10. 1req_B 113.33 aQQ..GLEVAK HHH..HHHHHH LE GL V E 11. 1taq 112.60 vlEEMglQVHDELVLE HHHHLLEEELLEEEEE AL LE K QE 12. 1bfd 112.20 aLKADNLEQLKGSLQE EEEELLHHHHHHHHHH L V R V 13. 1aom_B 112.13 ELKHV..IKDERLVTP EEEEE..ELLLLLLLE ALE V L 14. 1cii 111.33 ALESVKLSDISSNLN HHHLLLHHHHHHHHH P V 15. 1gal 111.13 SIPPTQMSSHVMTV LLLLLLLLLLLHHH AL GLE N 16. 1rth_A 110.60 ALQDSGLEVN HHHHHLLEEE AL VG Q 17. 1sqc 110.53 aLKAVGIDTREPYIQK HHHHLLLLLLLHHHHH A P N H Q 18. 1dmr 110.40 AKYPLHIAanRLHSQ LLLLEEEELLLELLE GLE K VQE 19. 1yge 110.20 PYAADGLeaIKTWVQE HHHHHHHHHHHHHHHH P G N 20. 1oac_A 109.93 ...PEGKYPNRSTHDT ...LLLLLLLLLLLLL 12 255 149
# TOPITS (Threading One-D Predictions Into Three-D Structures) # -------------------------------------------------------------------------------- # FORMAT begin # FORMAT general: - lines starting with hashes contain comments or PARAMETERS # FORMAT general: - columns are delimited by tabs # FORMAT general: - the data are given in BLOCKS, each introduced by a line # FORMAT general: beginning with a hash and a keyword # FORMAT parameters: '# PARA:tab keyword =tab value tab (further-information)' # FORMAT notation: '# NOTATION:tab keyword tab explanation' # FORMAT info: '# INFO:tab text' # FORMAT blocks 0: '# BLOCK keyword' # FORMAT blocks 1: column names (tab delimited) # FORMAT blocks n>1: column data (tab delimited) # FORMAT file end: '//' marks the end of a complete file # FORMAT end # -------------------------------------------------------------------------------- # PARA begin # PARA TOPITS HEADER: PARAMETERS # PARA: len1 = 416 # PARA: nali = 1897 # PARA: listName = /home/phd/server/work/TOPITS_DB.list # PARA: sortMode = ZSCORE # PARA: weight1 = NO # PARA: weight2 = NO # PARA: smin = -1.00 # PARA: smax = 2.00 # PARA: gapOpen = 2 # PARA: gapElon = 0.2 # PARA: indel1 = YES # PARA: indel2 = YES # PARA: threshold = ALL # PARA: str:seq = 50 (i.e. str= 50%, seq= 50%) # PARA end # -------------------------------------------------------------------------------- # NOTATION begin # NOTATION TOPITS HEADER: ABBREVIATIONS PARAMETERS # NOTATION: len1 : length of search sequence, i.e., your protein # NOTATION: nali : number of alignments in file # NOTATION: listName : fold library used for threading # NOTATION: sortMode : mode of ranking the hits # NOTATION: weight1 : YES if guide sequence weighted by residue conservation # NOTATION: weight2 : YES if aligned sequence weighted by residue conservation # NOTATION: smin : minimal value of alignment metric # NOTATION: smax : maximal value of alignment metric # NOTATION: gapOpen : gap open penalty # NOTATION: gapElon : gap elongation penalty # NOTATION: indel1 : YES if insertions in sec str regions allowed for guide seq # NOTATION: indel2 : YES if insertions in sec str regions allowed for aligned seq # NOTATION: threshold : hits above this threshold included (ALL means no threshold) # NOTATION: str:seq : weight structure:sequence # NOTATION TOPITS HEADER: ABBREVIATIONS SUMMARY # NOTATION: id2 : PDB identifier of aligned structure (1pdbC -> C = chain id) # NOTATION: pide : percentage of pairwise sequence identity # NOTATION: lali : length of alignment # NOTATION: ngap : number of insertions # NOTATION: lgap : number of residues inserted # NOTATION: len2 : length of aligned protein structure # NOTATION: Eali : alignment score # NOTATION: Zali : alignment zcore; note: hits with z>3 more reliable # NOTATION: strh : secondary str identity between guide and aligned protein # NOTATION: ifir : position of first residue of search sequence # NOTATION: ilas : position of last residue of search sequence # NOTATION: jfir : pos of first res of remote homologue (e.g. DSSP number) # NOTATION: jlas : pos of last res of remote homologue (e.g. DSSP number) # NOTATION: name : name of aligned protein structure # NOTATION end # -------------------------------------------------------------------------------- # INFO begin # INFO TOPITS HEADER: ACCURACY # INFO: Tested on 80 proteins, TOPITS found the correct remote homologue in about # INFO: 30%of the cases. Detection accuracy was higher for higher z-scores: # INFO: ZALI>0 => 1st hit correct in 33% of cases # INFO: ZALI>3 => 1st hit correct in 50% of cases # INFO: ZALI>3.5 => 1st hit correct in 60% of cases # INFO end # -------------------------------------------------------------------------------- # BLOCK TOPITS HEADER: SUMMARY rank id2 pide lali ngap lgap len2 Eali Zali strh ifir ilas jfir jlas name 1 1ahpA 33 396 49 172 796 129.73 3.02 31 2 416 138 682 1ahp_A MOL_ID: 1; . 2 5eat 27 391 32 133 532 118.47 2.62 36 3 414 20 522 5eat MOL_ID: 1; . 3 1pysB 31 389 40 191 785 116.47 2.55 37 4 415 70 604 1pys_B MOL_ID: 1; . 4 1ksiB 29 405 35 175 642 115.67 2.53 41 1 414 67 637 1ksi_B MOL_ID: 1; . 5 1hkcA 28 390 42 164 899 114.60 2.49 40 2 416 178 674 1hkc_A MOL_ID: 1; . 6 1pklA 27 377 37 131 492 114.53 2.49 43 3 416 6 472 1pkl_A MOL_ID: 1; . 7 1gln 29 373 41 119 468 114.07 2.47 34 2 415 16 464 1gln MOL_ID: 1; . 8 1bgvA 27 356 31 119 449 113.73 2.46 31 24 410 4 425 1bgv_A MOL_ID: 1; . 9 1csh 28 361 33 134 435 113.47 2.45 37 9 409 4 430 1csh CITRATE SYNTHASE (E.C.4.1.3.7) COMPLEXED WITH OXALOACETATE . 10 1reqB 30 382 44 139 619 113.33 2.44 32 12 411 80 564 1req_B MOL_ID: 1; . 11 1taq 31 391 42 189 808 112.60 2.42 33 2 416 215 766 1taq MOL_ID: 1; . 12 1bfd 27 394 40 164 523 112.20 2.40 37 1 416 3 508 1bfd MOL_ID: 1; . 13 1aomB 26 391 37 168 559 112.13 2.40 39 3 416 14 545 1aom_B MOL_ID: 1; . 14 1cii 27 398 37 147 602 111.33 2.37 34 2 415 9 511 1cii MOL_ID: 1; . 15 1gal 27 384 38 129 581 111.13 2.37 45 1 414 91 561 1gal GLUCOSE OXIDASE (E.C.1.1.3.4) . 16 1rthA 32 352 41 193 543 110.60 2.35 35 26 410 3 494 1rth_A MOL_ID: 1; . 17 1sqc 32 365 38 147 619 110.53 2.35 40 4 416 56 509 1sqc MOL_ID: 1; . 18 1dmr 29 390 41 159 779 110.40 2.34 32 1 415 126 649 1dmr MOL_ID: 1; . 19 1yge 29 402 45 174 839 110.20 2.33 36 2 416 67 627 1yge MOL_ID: 1; . 20 1oacA 29 379 41 158 720 109.93 2.32 41 3 416 167 658 1oac_A MOL_ID: 1; . //
END of results for file predict_h14877
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