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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 70 0.83
134 134 11 5 0 0 0 0 0 0 5 0 11 0 0 11 26 11 5 5 5 5 19 2 1 2.229 76 0.89
135 135 0 16 5 0 0 5 0 5 5 5 11 0 0 0 21 5 5 5 5 5 19 2 2 2.406 82 0.81
136 136 0 10 0 0 0 0 0 10 5 5 10 5 0 10 35 5 5 0 0 0 20 1 0 2.037 68 0.90
137 137 0 22 0 0 44 6 0 6 6 6 6 0 0 6 0 0 0 0 0 0 18 3 0 1.658 57 1.09
138 138 6 6 6 6 0 0 0 0 47 0 6 0 0 0 6 0 0 0 12 6 17 4 0 1.773 63 1.00
139 139 17 6 0 0 0 0 6 22 0 0 0 0 0 0 0 28 0 6 11 6 18 3 0 1.875 65 0.88
140 140 10 10 0 0 5 0 0 5 0 0 5 15 0 0 10 5 20 5 5 5 20 1 0 2.346 78 0.82
141 141 5 0 0 0 0 5 5 10 19 5 24 10 0 0 0 0 0 0 10 10 21 0 0 2.133 71 0.94
142 142 0 15 5 0 5 0 0 10 0 15 0 5 0 10 0 10 0 5 0 20 20 1 0 2.181 73 0.82
143 143 5 0 5 5 5 0 0 5 10 0 0 10 0 0 5 5 0 0 10 35 20 1 1 2.107 70 0.92
144 144 5 19 10 0 0 5 0 0 14 0 19 5 0 10 10 0 0 5 0 0 21 0 0 2.161 72 0.82
145 145 15 30 10 15 5 0 0 0 5 0 0 0 0 5 10 0 5 0 0 0 20 1 1 1.990 66 1.08
146 146 11 0 6 0 0 0 0 6 11 22 11 6 0 0 0 0 6 11 0 11 18 3 2 2.197 76 0.95
147 147 10 25 10 30 5 0 5 10 5 0 0 0 0 0 0 0 0 0 0 0 20 1 2 1.848 62 1.16
148 148 5 0 0 0 0 0 0 20 5 0 20 5 0 0 0 0 15 25 0 5 20 1 2 1.874 63 1.07
149 149 5 0 0 0 0 0 5 16 5 0 5 0 0 0 37 5 16 0 5 0 19 2 1 1.881 64 0.91
150 150 10 25 25 5 0 10 0 0 10 0 0 10 0 0 0 0 0 0 0 5 20 1 1 1.914 64 1.00
151 151 0 0 0 0 0 6 0 17 0 0 6 0 0 11 0 6 0 11 0 44 18 3 2 1.629 56 1.11
152 152 5 5 0 0 0 0 0 5 11 5 5 0 0 0 11 37 5 0 5 5 19 2 2 2.082 71 0.96
153 153 0 0 0 11 0 0 0 11 50 6 0 6 0 0 0 0 0 6 6 6 18 3 1 1.638 57 1.13
154 154 11 28 33 0 6 0 0 0 6 0 6 0 0 0 0 6 0 6 0 0 18 3 0 1.769 61 1.12
155 155 0 0 0 0 0 0 6 6 0 0 11 6 0 6 0 6 0 11 6 44 18 3 3 1.812 63 1.11
156 156 0 5 5 5 16 11 26 5 5 0 5 5 0 5 0 0 5 0 0 0 19 2 0 2.274 77 0.93
157 157 20 30 10 5 5 0 0 0 5 0 0 0 0 10 0 0 0 0 5 10 20 1 2 1.973 66 1.01
158 158 5 5 0 0 0 0 5 5 10 5 5 10 0 0 24 14 0 5 10 0 21 0 1 2.306 77 0.85
159 159 0 0 0 0 0 0 0 10 5 0 24 5 0 0 14 5 0 14 19 5 21 0 4 2.017 67 1.02
160 160 0 10 5 0 0 0 5 5 14 10 5 29 0 0 0 5 0 10 5 0 21 0 0 2.178 73 0.90
161 161 0 10 0 0 0 0 0 10 10 33 5 5 0 10 0 5 0 14 0 0 21 0 2 1.975 66 0.95
162 162 0 0 5 0 0 0 5 0 0 0 20 10 0 5 10 5 10 15 10 5 20 1 0 2.276 76 0.89
163 163 40 5 5 0 10 0 0 0 5 5 5 5 0 5 5 5 0 0 0 5 20 1 3 2.095 70 0.93
164 164 0 0 5 5 0 0 0 5 14 5 5 0 0 5 38 5 10 5 0 0 21 0 1 2.029 68 0.96
165 165 0 0 0 0 0 0 0 10 0 0 0 0 0 10 10 5 10 24 0 33 21 0 1 1.749 58 1.20
166 166 52 10 14 0 0 5 0 0 5 5 0 0 0 5 5 0 0 0 0 0 21 0 3 1.566 52 1.17
167 167 10 43 10 10 5 0 5 0 5 0 0 0 0 0 5 5 0 0 0 5 21 0 3 1.905 64 1.12
168 168 14 33 14 0 0 0 14 0 14 0 0 0 0 0 5 5 0 0 0 0 21 0 1 1.768 59 1.01
169 169 0 5 0 0 0 0 5 0 25 5 15 5 0 0 5 5 5 20 5 0 20 1 2 2.151 72 0.91
170 170 0 0 0 0 5 5 0 52 19 0 0 5 5 0 5 0 0 0 5 0 21 0 4 1.524 51 1.09
171 171 0 0 10 0 0 0 5 55 10 0 5 0 0 0 15 0 0 0 0 0 20 1 0 1.373 46 1.03
172 172 0 0 5 0 11 0 0 5 5 0 16 0 0 5 0 0 0 16 11 26 19 2 4 2.028 69 0.94
173 173 0 0 5 0 0 0 0 0 63 5 0 0 0 0 5 11 0 11 0 0 19 2 1 1.229 42 1.20
174 174 5 45 0 5 10 0 5 0 5 0 5 10 0 0 5 0 0 0 5 0 20 1 3 1.868 62 1.05
175 175 10 25 5 5 15 0 0 15 5 0 5 10 0 0 0 5 0 0 0 0 20 1 2 2.125 71 0.93
176 176 52 5 19 0 0 5 0 0 0 0 0 5 0 0 0 5 0 0 5 5 21 0 2 1.524 51 1.17
177 177 0 10 0 0 0 0 10 10 10 5 25 5 0 0 5 0 5 10 5 0 20 1 0 2.247 75 0.84
178 178 0 0 0 0 5 0 0 5 16 11 0 11 0 5 5 0 0 16 0 26 19 2 1 2.028 69 0.97
179 179 0 0 5 5 0 0 0 0 10 10 5 10 0 0 5 10 5 19 0 19 21 0 1 2.252 75 0.96
180 180 0 0 5 0 0 5 0 5 5 10 0 33 0 5 10 10 10 5 0 0 21 0 0 2.132 71 0.91
181 181 5 42 5 11 5 5 0 0 0 0 0 0 0 5 0 0 11 5 0 5 19 2 3 1.923 65 1.06
182 182 0 0 0 0 0 0 0 10 15 5 0 5 0 0 0 5 20 35 0 5 20 1 1 1.803 60 1.14
183 183 6 0 0 0 17 0 33 0 11 0 11 0 0 0 11 6 0 0 6 0 18 3 1 1.879 65 0.86
184 184 16 16 37 5 0 0 5 0 5 5 5 0 0 5 0 0 0 0 0 0 19 2 3 1.881 64 1.09
185 185 0 22 39 6 0 11 6 0 6 0 0 0 0 0 0 0 6 0 0 6 18 3 2 1.749 60 1.01
186 186 0 16 0 0 0 0 0 5 42 11 5 0 0 0 0 0 0 11 11 0 19 2 0 1.677 57 1.02
187 187 5 5 5 0 0 0 0 16 0 11 0 0 0 0 21 26 5 5 0 0 19 2 2 1.983 67 0.91
188 188 15 50 10 0 10 0 5 5 5 0 0 0 0 0 0 0 0 0 0 0 20 1 0 1.541 51 1.27
189 189 0 0 0 6 0 6 0 0 6 12 6 0 0 0 35 24 0 6 0 0 17 4 1 1.793 63 1.07
190 190 5 0 0 0 0 0 0 5 15 0 5 10 5 0 0 5 5 25 5 15 20 1 1 2.194 73 1.01
191 191 11 11 26 0 11 0 0 5 11 11 5 5 0 0 0 0 0 0 5 0 19 2 1 2.156 73 0.93
192 192 5 0 0 0 5 0 5 5 0 42 5 0 0 0 0 0 0 11 0 21 19 2 0 1.704 58 0.95
193 193 0 0 0 5 5 0 0 15 0 5 15 10 5 15 10 10 0 0 0 5 20 1 0 2.293 77 0.84
194 194 33 19 10 0 0 0 0 0 10 0 5 10 0 0 0 0 0 5 5 5 21 0 2 1.934 65 1.02
195 195 5 0 0 5 0 5 0 10 10 5 10 5 0 0 0 10 0 25 10 0 20 1 0 2.247 75 0.89
196 196 11 11 21 5 5 5 0 0 0 5 0 11 0 0 5 5 5 5 0 5 19 2 2 2.434 83 0.85
197 197 25 15 0 0 5 0 5 0 15 0 5 5 5 0 5 5 0 0 0 10 20 1 2 2.194 73 0.84
198 198 0 0 0 0 5 0 5 15 0 10 0 5 0 10 30 10 5 5 0 0 20 1 1 2.085 70 0.87
199 199 15 10 20 5 10 0 0 5 5 5 0 0 0 5 5 5 0 0 10 0 20 1 1 2.346 78 0.88
200 200 0 0 0 0 0 0 0 55 15 5 0 0 0 0 5 5 5 5 0 5 20 1 3 1.512 50 1.22
201 201 5 10 0 0 5 0 0 0 5 0 38 14 0 0 0 5 0 5 5 10 21 0 2 1.963 66 0.94
202 202 5 5 5 0 0 5 14 0 0 0 10 5 0 5 29 5 10 5 0 0 21 0 0 2.244 75 0.83
203 203 5 0 10 0 5 0 0 0 5 0 19 43 5 5 0 0 0 0 5 0 21 0 3 1.773 59 1.02
204 204 10 0 0 0 0 0 0 19 14 29 5 5 0 5 0 0 0 5 0 10 21 0 2 1.980 66 1.04
205 205 40 10 5 0 0 5 0 5 20 5 5 0 0 0 0 0 5 0 0 0 20 1 4 1.817 61 1.00
206 206 35 15 10 5 0 0 5 0 5 0 0 5 0 0 0 5 10 0 0 5 20 1 0 2.011 67 1.01
207 207 10 30 10 10 0 0 5 0 5 5 0 10 0 0 0 5 5 5 0 0 20 1 2 2.181 73 0.97
208 208 0 0 0 0 0 0 0 0 38 24 5 0 0 0 10 0 5 5 0 14 21 0 1 1.646 55 1.09
209 209 0 5 0 5 0 5 5 0 5 0 15 0 0 0 10 5 20 20 5 0 20 1 0 2.207 74 0.87
210 210 0 0 0 0 0 5 0 10 0 0 5 0 0 5 35 25 0 10 0 5 20 1 1 1.774 59 1.08
211 211 5 10 40 0 20 0 5 0 5 0 0 0 0 0 5 0 0 0 5 5 20 1 2 1.817 61 1.08
212 212 0 21 0 0 0 0 0 11 11 0 5 21 5 11 5 0 0 0 5 5 19 2 2 2.142 73 0.82
213 213 0 5 5 0 0 0 0 10 5 33 14 0 0 5 14 5 0 5 0 0 21 0 2 2.016 67 0.95
214 214 0 0 0 0 0 5 0 0 14 10 14 5 0 0 10 0 0 29 5 10 21 0 1 2.021 67 0.96
215 215 0 40 10 5 10 0 0 10 5 0 0 5 0 5 0 5 0 0 0 5 20 1 2 1.956 65 0.98
216 216 40 5 5 0 0 0 0 0 10 5 5 10 5 5 5 5 0 0 0 0 20 1 1 2.025 68 0.97
217 217 0 0 0 0 0 0 0 0 5 0 0 5 0 5 11 5 16 0 37 16 19 2 2 1.808 61 1.11
218 218 15 20 10 10 5 0 5 5 10 0 0 0 0 5 5 0 0 5 0 5 20 1 0 2.346 78 0.92
219 219 11 42 11 5 11 0 0 0 11 0 0 0 0 0 0 5 5 0 0 0 19 2 2 1.777 60 1.15
220 220 5 0 0 0 0 0 0 15 5 10 5 5 0 0 10 10 5 20 0 10 20 1 0 2.276 76 0.97
221 221 0 0 5 0 0 0 5 14 0 0 0 10 0 0 14 29 5 10 5 5 21 0 0 2.087 70 0.93
222 222 6 0 0 0 11 0 39 6 0 0 17 6 0 6 0 0 0 6 6 0 18 3 2 1.874 65 0.90
223 223 0 0 6 0 0 0 6 6 17 11 0 11 0 17 6 0 6 0 0 17 18 3 2 2.187 76 0.88
224 224 5 0 0 5 0 0 0 16 11 42 5 0 0 0 0 5 5 5 0 0 19 2 3 1.822 62 1.06
225 225 30 15 5 0 0 0 0 5 15 0 0 5 0 0 5 10 0 10 0 0 20 1 2 1.990 66 0.94
226 226 0 10 15 0 15 25 15 0 0 0 10 0 5 0 5 0 0 0 0 0 20 1 1 1.960 65 1.07
227 227 5 65 0 0 5 0 0 5 0 5 0 0 5 0 5 5 0 0 0 0 20 1 2 1.329 44 1.14
228 228 6 6 0 0 0 0 6 0 11 0 6 6 0 11 0 0 0 17 17 17 18 3 0 2.187 76 0.93
229 229 5 5 11 5 0 0 0 5 16 11 0 26 0 5 0 5 5 0 0 0 19 2 0 2.202 75 0.92
230 230 6 0 0 6 11 0 6 11 6 0 6 0 0 11 11 6 11 6 0 6 18 3 0 2.505 87 0.80
231 231 10 10 5 15 25 5 10 0 0 0 10 0 0 5 0 5 0 0 0 0 20 1 2 2.151 72 1.01
232 232 5 5 0 0 0 0 0 10 5 0 5 5 0 0 5 10 0 0 25 25 20 1 0 2.052 69 0.99
233 233 6 0 0 6 0 6 6 11 0 6 0 0 0 28 6 0 17 6 0 6 18 3 1 2.183 76 0.88
234 234 0 6 0 0 0 0 0 0 12 35 12 12 0 0 0 0 0 18 0 6 17 4 0 1.762 62 1.02
235 235 0 0 6 6 6 0 0 11 0 0 11 0 0 0 0 6 0 17 33 6 18 3 1 1.956 68 0.96
236 236 5 0 0 0 0 0 0 11 5 0 5 11 0 0 0 11 21 21 5 5 19 2 0 2.142 73 1.01
237 237 0 15 45 0 5 5 10 0 0 0 10 5 0 0 0 0 0 0 5 0 20 1 2 1.704 57 1.06
238 238 5 14 5 0 0 0 0 5 0 5 10 48 0 0 0 5 0 0 5 0 21 0 0 1.725 58 1.03
239 239 10 0 0 0 5 0 0 0