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reference predict_h14790 (Jun 26, 2000 00:04:10) reference pred_h14790 (Jun 26, 2000 00:05:01) 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 MCAQYCISFADVEKAHINIQDSIHLTPVLTSSILNQIAGRNLFFKCELFQKTGSFKIRGALNAIRGLIPDTPEEKPKAVVTHSSGNHGQALTYAAKLEGIPAYIVVPQTAPNCKKLAIQAYGASIVYCDPSDESREKVTQRIMQETEGILVHPNQEPAVIAGQGTIALEVLNQVPLVDALVVPVGGGGMVAGIAITIKALKPSVKVYAAEPSNADDCYQSKLKGELTPNLHPPETIADGVKSSIGLNTWPIIRDLVDDVFTVTEDEIKYATQLVWGRMKLLIEPTAGVALAAVLSQHFQTVSPEVKNVCIVLSGGNVDLTSLNWVGQAERPAPYQTVSV
------------------------------------------------------------- Pattern-ID: PKC_PHOSPHO_SITE PS00005 PDOC00005 Pattern-DE: Protein kinase C phosphorylation site Pattern: [ST].[RK] 54 SFK 139 TQR 196 TIK 203 SVK Pattern-ID: CK2_PHOSPHO_SITE PS00006 PDOC00006 Pattern-DE: Casein kinase II phosphorylation site Pattern: [ST].{2}[DE] 8 SFAD 71 TPEE 212 SNAD 235 TIAD 261 TVTE Pattern-ID: MYRISTYL PS00008 PDOC00008 Pattern-DE: N-myristoylation site Pattern: G[^EDRKHPFYW].{2}[STAGCN][^P] 59 GALNAI 88 GQALTY 187 GGMVAG 239 GVKSSI 287 GVALAA Pattern-ID: DEHYDRATASE_SER_THR PS00165 PDOC00149 Pattern-DE: Serine/threonine dehydratases pyridoxal-phosphate attachment site Pattern: [DESH].{4,5}[STVG].[AS][FYI]K[DLIFSA][RVMF][GA][LIVMGA] 47 ELFQKTGSFKIRGA
>prot (#) ppOld, default: single protein sequence /home/phd/server/work/predict_h14790
MCAQYCISFADVEKAHINIQDSIHLTPVLTSSILNQIAGRNLFFKCELFQKTGSFKIRGA
LNAIRGLIPDTPEEKPKAVVTHSSGNHGQALTYAAKLEGIPAYIVVPQTAPNCKKLAIQA
YGASIVYCDPSDESREKVTQRIMQETEGILVHPNQEPAVIAGQGTIALEVLNQVPLVDAL
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IAITIKALKPSVKVYAAEPSNADDCYQSKLKGELTPNLHPPETIADGV
KSSIGLNTWPIIRDLVDDVFTVTEDEIKYATQLVWGRMKLLIEPTAGVALAAVLSQHFQT
VSPEVKNVCIVLSGGNVDLTSLNWVGQAERPAPYQTVSV
Identities computed with respect to: (query) prot Colored by: consensus/70% and property
HSP processing: ranked
26 [ . . : . . . . 1 . . . . : . . . . 2 . . . . : . . . . 3 . ] 314 prot (#) ppOld, default: single ... score P(N) N 100.0% TPVLTSSILNQIAGRNLFFKCELFQKTGSFKIRGXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXIALEVLNQVPLVDALVVPVGGGGMVAGIAITIKALKPXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXIGLNTWPIIRDLVDDVFTVTEDEIKYATQLVWGRMKLLIEPTAGVALAAVLSQHFQTVSPEVKNVCIVLSG 1 PD002811 p2000.1 (28) THD1(9) SDHL(3... 105 4.6e-15 2 37.0% --------------------------------------------------------------------------------------------------------------------------------------------ILKQVDDQGNKIDAIFVPVGGGGLIAGVATYLKRISP-----------------------------------------VGEYTFELCQEYVDDIVLVSEDEICAAIKDLYEEEKVIVEPAGALAIAGLKSYKEQHKGKNVNVVCIISGG 2 PD035210 p2000.1 (2) SDHL(2) // L-S... 78 0.00043 1 44.1% TPIRDSMALSKMAGTSVYLKMDSAQPSGSFKIRG--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 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=PD002811 ==> multiple alignment, consensus, PDB and PROSITE links of domain PD002811 http://www.toulouse.inra.fr/prodom/cgi-bin/ReqProdomII.pl?id_dom2=PD002811 ==> graphical output of all proteins having domain PD002811 http://www.toulouse.inra.fr/prodom/cgi-bin/ReqProdomII.pl?id_dom1=PD035210 ==> multiple alignment, consensus, PDB and PROSITE links of domain PD035210 http://www.toulouse.inra.fr/prodom/cgi-bin/ReqProdomII.pl?id_dom2=PD035210 ==> graphical output of all proteins having domain PD035210 --- --- 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 OMIM NAME ykv8_yeast 40 52 319 4 8 326 P36007 HYPOTHETICAL 34.9 KD PROT thd2_ecoli 35 47 320 4 6 329 P05792 THREONINE DEHYDRATASE CAT y4tj_rhisn 32 44 328 4 10 332 P55664 PUTATIVE THREONINE DEHYDR thdh_yeast 31 42 319 6 13 576 P00927 THREONINE DEHYDRATASE PRE thdh_arxad 31 43 320 5 9 550 O42615 THREONINE DEHYDRATASE PRE thd1_haein 31 44 327 5 10 513 P46493 DEAMINASE). thd1_salty 31 43 334 6 16 514 P20506 DEAMINASE). thd1_lyces 30 41 323 5 11 595 P25306 DEAMINASE). thd1_ecoli 1TDJ 30 42 334 6 16 514 P04968 DEAMINASE). thd1_burce 30 41 316 6 10 507 P53607 DEAMINASE). thd1_myctu 30 37 318 5 13 429 Q10766 DEAMINASE). thd1_bacsu 28 39 320 6 12 422 P37946 DEAMINASE). thd1_lacla 28 39 312 6 15 441 Q02145 DEAMINASE). thd1_soltu 28 41 185 3 3 359 P31212 (FRAGMENT). sdhl_rat 28 28 298 9 59 362 P09367 DEHYDRATASE (EC 4.2.1.16) sdhl_human 28 30 297 7 16 328 P20132 182128 L-SERINE DEHYDRATASE (EC thd1_corgl 27 33 313 7 18 436 Q04513 DEAMINASE). --- --- MAXHOM ALIGNMENT: IN MSF FORMAT
--- ------------------------------------------------------------ --- 3D homologue: the known structure that appeared to have sig- --- 3D homologue: nificant sequence identity to your protein is: --- 3D homologue: 1TDJ, . --- 3D homologue: Note: we do NOT check whether the similarity --- 3D homologue: is in the region for which structure has --- 3D homologue: been determined. Thus, please verify! --- ------------------------------------------------------------
--- --- Version of database searched for alignment: --- SWISS-PROT release 38.0 (7/99) with 80000 proteins ---
Identities computed with respect to: (1) predict_h1470 Colored by: consensus/70% and property
1 [ . . . . : . . . . 1 . . . . : . . . . 2 . . . . : . . . . 3 . . . ] 339 1 predict_h1470 100.0% MCAQYCISFADVEKAHINIQDSIHLTPVLTSSILNQIAGRNLFFKCELFQKTGSFKIRGALNAIRGLIPDTPEEKPKAVVTHSSGNHGQALTYAAKLEGIPAYIVVPQTAPNCKKLAIQAYGASIVYCDPSDESREKVTQRIMQETEGILVHPNQEPAVIAGQGTIALEVLNQVPLVDALVVPVGGGGMVAGIAITIKALKPSVKVYAAEPSNADDCYQSKLKGELTPNLHPPETIADGVKSSIGLNTWPIIRDLVDDVFTVTEDEIKYATQLVWGRMKLLIEPTAGVALAAVLSQHFQTVSPEVKNVCIVLSGGNVDLTSLNWVGQAERPAPYQTVSV 2 ykv8_yeast 39.6% -------TYGDVLDASNRIKEYVNKTPVLTSRMLNDRLGAQIYFKGENFQRVGAFKFRGAMNAVSKL---SDEKRSKGVIAFSSGNHAQAIALSAKLLNVPATIVMPEDAPALKVAATAGYGAHIIRYNRYTEDREQIGRQLAAEHGFALIPPYDHPDVIAGQGTSAKELLEEVGQLDALFVPLGGGGLLSGSALAARSLSPGCKIFGVEPEAGNDGQQSFRSGSIV-HINTPKTIADGAQthLGEYTFAIIRENVDDILTVSDQELVKCMHFLAERMKVVVEPTACLGFAGALLKKEELVG---KKVGIILSGGNVDMKRYATLISGKEDGP------ 3 thd2_ecoli 33.8% ITYDLPVAIDDIIEAKQRLAGRIYKTGMPRSNYFSERCKGEIFLKFENMQRTGSFKIRGAFNKLSSL---TDAEKRKGVVACSAGNHAQGVSLSCAMLGIDGKVVMPKGAPKSKVAATCDYSAEVVLHGDNFNDTIAKVSEIVEMEGRIFIPPYDDPKVIAGQGTIGLEIMEDLYDVDNVIVPIGGGGLIAGIAVAIKSINPTIRVIGVQSENVHGMAASFHSGEITTHRT-TGTLADGCdsRPGNLTYEIVRELVDDIVLVSEDEIRNSMIALIQRNKVVTEGAGALACAALLSGKLDQYIQNRKTV-SIISGGNIDLSRVSQI-------------- 4 y4tj_rhisn 31.0% MNELSNLSLESIERARERIEEHVFRTPLTTSRSLTELTGTQVSLKLEHYQRTGSFKLRGATNAILQL---SPSDRARGVIAASTGNHGRALSYAAKAVGSRATICMSDLVPENKVSEIRKLGATVRIVGSSQDDAQVEVERLVAEEGLSMIPPFDHPHIIAGQRTVGLEIVEAMPDVAMVLLPLSGGGLAAGVAAAVKALRPHARIIGVTMDRGAAMKASIEAGHPV-QVKEYRSLADSLGGGIGmwTFQMCRALLDDVVLVNEGEIAAGIRHAYEHERQILEGAGAVGIAALLSG---KVAARGGSVGVVLSGQNIDMGLHREVINGVVRATEE---- 5 thdh_yeast 30.6% ---------------RSSVYDVINESPISQGVGLSSRLNTNVILKREDLLPVFSFKLRGAYNMIAKL---DDSQRNQGVIACSAGNHAQGVAFAAKHLKIPATIVMPVCTPSIKYQNVSRLGSQVVLYGNDFDEAKAECAKLAEERGLTNIPPFDHPYVIAGQGTVAMEILRQVrkIGAVFVPVGGGGLIAGIGAYLKRVAPHIKIIGVETYDAATLHNSLQRNQRTP-LPVVGTFADGTSvmIGEETFRVAQQVVDEVVLVNTDEICAAVKDIFEDTRSIVEPSGALSVAGMKK-YISTVHPEinTYVPILSGANMNFDRLRFVSERAVLGEGKEVFM 6 thdh_arxad 30.6% ---------------TSKVYDVCNETPVTPAVNLSSKLGANIFLKREDLQPVFSFKLRGAYNMMAHLP---QETRWKGVIACSAGNHAQGVAYSAKHLNIPATIVMPVVTPAIKYKNVDRLGAKVVLHGNDFDAAKAECNRLSEKHGLTNIPLFDNPYVIAGQGTIGVELLRQIdsLKAIFVCIGGGGLIAGVGAYIKRIAPQVKIIGVETYDANAMRQSLQKGERI-TLSEVGLFADGAAviLGEETFRLCQQVVDEIVLVSTDEICAAIKDVFTETRSIVEPAGALSVAGLVkeSHPEIDHSASGYTAILSGANMDFDRLRFVSERAKLGEGSEVFI 7 thd1_haein 30.1% -------SQSDYINAIVKLGSRVyvTPLQKMGKLSERLHNNIWIKREDRQPVNSFKLRGAYAMISSL---SAEQKAAGVIAASAGNHAQGVALSAKQLGLKALIVMPQNTPSIKVDAVRGFGGEVLLHGANFDEAKAKAIELSKEKNMTFIPPFDHPLVIAGQGTLAMEMLQQVADLDYVFVQVGGGGLAAGVAILLKQFMPEIKIIGVESKDSACLKAALDKGEPT-DLTHIGLFADGVAvrIGDETFRLCQQYLDDMVLVDSDEVCAAMKDLFENVRAVAEPSGALGLAGLKKYVKQNHI-EGKNMAAILSGANLNFHTLRYVSERCEIGENREALL 8 thd1_salty 29.8% MAESQPLSVAPEGAEYlpVYEAAQVTPLQKMEKLSSRLDNVILVKREDRQPVHSFKLRGAYAMMTGL---TEEQKAHGVITASAGNHAQGVAFSSARLGVKSLIVMPKATADIKVDAVRGLGGEVLLHGANFDEAKAKAIELAQQQGFTWVPPFDHPMVIAGQGTLALELLQQDSHLDRVFVPVGGGGLAAGVAVLIKQLMPQIKVIAVEAEDSA-CLKAALEAGHPVDLPRVGLFAEGVAvrIGDETFRLCQEYLDDIITVDSDAICAAMKDLFEDVRAVAEPSGALALAGMKKYIAQH-NIRGERLAHVLSGANVNFHGLRYVSEreQREGLLTVTI 9 thd1_lyces 29.6% -----------VDILASPVYDVAIESPLELAEKLSDRLGVNFYIKREDKQRVFSFKLRGAYNMMSNL---SREELDKGVITASAGNHAQGVALAGQRLNCVAKIVMPTTTPQIKIDAVRALGGDVVLYGKTFDEAQTHALELSEKDGLKYIPPFDDPGVIKGQGTIGTEINRQLKDIHAVFIPVGGGGLIAGVATFFKQIAPNTKIIGVEPYGAASMTLSLHEGHRV-KLSNVDTFADGVAvlVGEYTFAKCQELIDGMVLVANDGISAAIKDVYDEGRNILETSGAVAIAGAAA-YCEFYKIKNENIVAIASGANMDFSKLHKVTELakEALLATFMV 10 thd1_ecoli 29.2% MADSQPLSGAPEGAEYlpVYEAAQVTPLQKMEKLSSRLDNVILVKREDRQPVHSFKLRGAYAMMAGL---TEEQKAHGVITASAGNHAQGVAFSSARLGVKALIVMPTATADIKVDAVRGFGGEVLLHGANFDEAKAKAIELSQQQGFTWVPPFDHPMVIAGQGTLALELLQQDAHLDRVFVPVGGGGLAAGVAVLIKQLMPQIKVIAVEAEDSA-CLKAALDAGHPVDLPRVGLFAEGVAvrIGDETFRLCQEYLDDIITVDSDAICAAMKDLFEDVRAVAEPSGALALAGMKK-YIALHNIRGERLAHILSGANVNFHGLRYVSEreQREALLAVTI 11 thd1_burce 29.3% ---------------TARVYDVAFETELEPARNLSARLRNPVYLKREDNQPVFSFKLRGAYNKMAHIP---ADALARGVITASAGNHAQGVAFSAARMGVKAVIVVPVTTPQVKVDAVRAHGGPGVEVIQAGESYSDaaLKVQEERGLTFVHPFDDPYVIAGQGTIAMEILRQHqpIHAIFVPIGGGGLAAGVAAYVKAVRPEIKVIGVQAEDSCAMAQSLQAGKRV-ELAEVGLFADGTAvlVGEETFRLCKEYLDGVVTVDTDALCAAIKDVFQDTRSVLEPSGALAVAGAKL-YAEREGIENQTLVAVTSGANMNFDRMRFVAERAEVGEARE--- 12 thd1_myctu 28.6% --PLFSLSGADIDRAAKRIAPVVTPTPLQPSDRLSAITGATVYLKREDLQTVRSYKLRGAYNLLVQL---SDEELAAGVVCSSAGNHAQGFAYACRCLGVHGRVYVPAKTPKQKRDRIRYHGGEFIDLIVGGSTYDLAAAAALEDVErtLVPPFDDLRTIAGQGTIAVEVLGQLeePDLVVVPVGGGGCIAGITTYLAERTTNTAVLGVEPAGAAAMMAALAAGEPVTLDHVDQFVDGAAVNRAGTLTYAALAAAGDMVstVDEGAVCTAMLDLYQNEGIIAEPAGALSVAGLLEADIEPGST----VVCLISGGNNDVSRYGEVLE------------ 13 thd1_bacsu 28.4% LKENSLIQVKHILKAHQNVKDVVIHTPLQRNDRLSERYECNIYLKREDLQVVRSFKLRGAYHKMKQL---SSEQTENGVVCASAGNHAQGVAFSCKHLGIHGKIFMPSTTPRQKVSQVELFGKgiILTGDTFDDVYKSAAECCEAESRTFIHPFDDPDVMAGQGTLAVEILNDIdePHFLFASVGGGGLLSGVGTYLKNVSPDTKVIAVEPAGAASYFESNKAGHVV-TLDKIDKFVDGAAvkIGEETFRTLETVVDDILLVPEGKVCTSILELYNECAVVAEPAGALSVAALDLYKDQIKG---KNVVCVVSGGNNDIGRMQEMKE------------ 14 thd1_lacla 28.2% --------LSNKYQANIYLKEVVTKTPLQLDPYLSNKYQANIYLKEENLQKVRSFKLRGAYYSISKL---SDEQRSKGVVCASAGNHAQGVAFAANQLNISATIFMPVTTPNQKISQVKFFGESHVtiGDTFDESARAAKAFSQDNDKPFIDPFDDENVIAGQGTVALEIFAQAksLDKIFVQIGGGGLIAGITAYSKERYPQTEIIGVEAKGATSMKAAYSAGQPV-TLEHIDKFADGIAvtVGQKTYQLINDKVKQLLAVDEGLISQTILELYSKLGIVAEPAGATSVAALELIKDEIKG---KNIVCIISGGNNDISRMQEIEE------------ 15 thd1_soltu 28.9% --------------------------------------------------------------------------------------------------------------------------------------------------------PFDAPGVIKGQGTIGTEINRQLKDIHAVFVPVGGGGLISGVAAYFTQVAPHTKIIGVEPYGAASMTLSLYEGHRV-KLENVDTFADGVAvlVGEYTFAKCQELIDGMVLVRNDGISAAIKDVYDEGRNILETSGAVAIAGAAA-YCEFYNIKNENIVAIASGANMDFSKLHKVTELAELGSDNEALL 16 sdhl_rat 27.1% -------------------QESLhkTPLRDSMALSKVAGTSVFLKMDSSQPSGSFKIRGIGHLCkaLLPDTPSPL-------TAGNAGMATAYAARRLGLPATIVVPSTTPALTIERLKNEGATVEVVGEMLDEAIQLAKALEKNNPgvYISPFDDPLIWEGHTSLVKELKETLskPGAIVLSVGGGGLLCGVVQGLREvwEDVPIIAMETFGAHS-FHAAVKEGKLVTLPKITSVAKALgnTVGAQTLKLFYEHPIFSEVISDQEAVTAIEKFVDDEKILVEPACGAALAAVYSGvgRLQTPLASLVVIVCGGSNISLAQLQAL-------------- 17 sdhl_human 27.2% -------------------------TPIRDSMALSKMAGTSVYLKMDSAQPSGSFKIRGIGHFCKRWA----KQGCAHFVCSSAGNAGMAAAYAARQLGVPATIVVPGTTPALTIERLKNEGAtkVVGELLDEAFELAKALAKNNPGWVYIPPFDDPLIWEGHASIVKELKETLwkPGAIALSVGGGGLLCGVVQGLQegWGDVPVIAMETFGAHSFHAATTAGKLV-SLPKITSVAKALGvtVGSQALKLFQEHPIFSEVISDQEAVAAIEKFVDDEKILVEPAWGAALAAVYSHVIQKLQLepSLVVIVCGGSNISLAQLRALKE------------ 18 thd1_corgl 26.5% ------IRAADIQTAQARISSVIAPTPLQYCPRLSEETGAEIYLKREDLQDVRSYKIRGALNSG---AQSPQEQRDAGIVAASAGNHAQGVAYVCKSLGVQGRIYVPVQTPKQKRDRIMVHGGEFVSLVVTGNNFDEASAAAHEDAErtLIEPFDARNTVIGQGTVAAEILSQLtsADHVMVPVGGGGLLAGVVSYMADMAPRTAIVGIEPAGAAS-MQAALHNGGPITLETVDPFVDGAEvrVGDLNYTIVEKNQGRVHMMSATEGAVCTEmlYQNEGIIAEPAGALSIAGLKEMSFAPGSV----VVCIISGGNNDVLRYAEIAE------------ consensus/100% ..........................................................................................................................................................pt..hh.Gpto.shEh.tt....t.lhh.luGGGhhsG.s.h.tth..th.lhuhp..tst....u..ttt........t.hstuh.s..G..sh.hh.t......hh.tt.h..sh..hhtp.t.lhEsshshuhAuh..............h..lhuGtN.sh..ht.h.............. consensus/90% .........................o.h.....hst.ht..h.hK.-....s.uaKhRGhh..h........t.h.......osGNtu.uhshsst..t..uhlhhs..sst.ph.th...ut.h..h....pt.......h.t...h..l.PaDt..hhtGpsolshEl.tp....thlhl.lGGGGhhsGls.hhtth.sph.lhuhps.sut..h.uh.tst....h...t.hscuhtshhG..shthhtt......hlsptth..sh..hhpp.t.lhEsssuhuhAuh..............hs.lhuGuN.shttht.l.............. consensus/80% ..................l.t.h..TPl.....Lophhts.lhlKhEshQ.shSFKlRGAhthh.tl. ..pph.tullstSuGNHupuhuhust.lsl.uhIhhP.tsPt.Khttlp.hGuphl.h....pph...s.th.pptthhhl.PFDcP.lltGQGTluhElhpph.p.thlhlslGGGGLhuGlshhhpphhPphtllulEs.susshhtuh.tut.s.pl..ht.hA-uhsshlGp.TathhpphhcthhhVspstlssuh.tlhpc.t.lhEsuuululAuhh....t.ht...p.lshlhSGuN.shtphp.l.p............ consensus/70% ..................l.phh..TPlp.s.tLSphhtsslalKtEshQ.stSFKlRGAhshhttL. stcptstGVlssSAGNHAQulAauuppLsl.uhIshP.sTPp.KhptlpthGuphlhhstsh-phpttshthtpppshshlsPFDcPhVIAGQGTluhElhppltplctlhVslGGGGLlAGlushl+plhPph+lIuVEs.susshhtuh.tGphs.pLtplshhADGsustlGp.TaplhpphlDtllhVspstlssuhcclapc.+.lsEPuGAlulAuhht.hhphhs...pplshllSGuNhshsphp.ltE............ |
**************************************************************************** * * * 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: 43.4 | %E: 17.1 | %L: 39.5 |
%A: 9.7 | %C: 2.1 | %D: 4.1 | %E: 5.6 | %F: 2.1 |
%G: 7.1 | %H: 2.1 | %I: 8.0 | %K: 5.6 | %L: 8.6 |
%M: 1.2 | %N: 4.1 | %P: 6.5 | %Q: 5.3 | %R: 2.4 |
%S: 5.9 | %T: 6.2 | %V: 10.0 | %W: 0.9 | %Y: 2.6 |
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 AA MCAQYCISFADVEKAHINIQDSIHLTPVLTSSILNQIAGRNLFFKCELFQKTGSFKIRGALNAIRGLIPDTPEEKPKAVVTHSSGNHGQALTYAAKLEGIPAYIVVPQTAPNCKKLAIQAYGASIVYCDPSDESREKVTQRIMQETEGILVHPNQEPAVIAGQGTIALEVLNQVPLVDALVVPVGGGGMVAGIAITIKALKPSVKVYAAEPSNADDCYQSKLKGELTPNLHPPETIADGVKSSIGLNTWPIIRDLVDDVFTVTEDEIKYATQLVWGRMKLLIEPTAGVALAAVLSQHFQTVSPEVKNVCIVLSGGNVDLTSLNWVGQAERPAPYQTVSV PHD_sec HHHHHHHHHHHHHH HHHHH EEEEEE EE HHHHHHHH HHH EEEEE HHHHHHHHHHHH EEEEE HHHHHHHHHHH EEEEE HHHHHHHHHHHHH EEEE EE HHHHHHHHHH EEEEE HHHHHHHHHHHHHH EEEEE HHHHHHHHH E EE E HHHHHHHHHH EEEE HHHHHHHHHHHHH EEEE HHHHHHHHHHHH EEEEEE HHHHHHHHHHHHH E Rel_sec ***** * *********** **** **** *** **** ****** ************ ******* * *********** ** **** *** ********* ** **** *** *********** ****** ***** ******** ******** * ************* *** **** ************ *** ** * ********* ***** * ********** * ** * ********** * ***** ***** *** ************ *** * P_3_acc eeeebebbbeebeebeeebeebbeebbbeebeebbeebebebbbeeeeeeeb bbebbbbbbbbeeb eeeeeeeeebbbbbbbbbbbbbbbbbbeebbbebbbbbbee bebebebbee bbebbbbbee eebeeebeebeeeee ebbbbbe bbbbbbbbbbbbebbeebeebebbbbbbbbbbbbbbbbbbbeeb eebebbbb bebbbbbebbbeeeeebbebeebebbbebbbbebbeebbebbeebbeebbbbbeeebbbbbeebbeebebbbebbbbbbbbbbeeeeeeeeeeeeeebbbbbbbbbbebbebeebeeebeeeeeeebbb 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 AA MCAQYCISFADVEKAHINIQDSIHLTPVLTSSILNQIAGRNLFFKCELFQKTGSFKIRGALNAIRGLIPDTPEEKPKAVVTHSSGNHGQALTYAAKLEGIPAYIVVPQTAPNCKKLAIQAYGASIVYCDPSDESREKVTQRIMQETEGILVHPNQEPAVIAGQGTIALEVLNQVPLVDALVVPVGGGGMVAGIAITIKALKPSVKVYAAEPSNADDCYQSKLKGELTPNLHPPETIADGVKSSIGLNTWPIIRDLVDDVFTVTEDEIKYATQLVWGRMKLLIEPTAGVALAAVLSQHFQTVSPEVKNVCIVLSGGNVDLTSLNWVGQAERPAPYQTVSV PHD_sec HHHHHHHHHHHHHH HHHHH EEEEEE EE HHHHHHHH HHH EEEEE HHHHHHHHHHHH EEEEE HHHHHHHHHHH EEEEE HHHHHHHHHHHHH EEEE EE HHHHHHHHHH EEEEE HHHHHHHHHHHHHH EEEEE HHHHHHHHH E EE E HHHHHHHHHH EEEE HHHHHHHHHHHHH EEEE HHHHHHHHHHHH EEEEEE HHHHHHHHHHHHH E Rel_sec 999854453169999987876212488764168763169549985139886563131315999985599973422686599725327899999999718813999538993787999998199189982595499999999996489655517999741103334599999983378859996484599999999999938984599832577589999998179922266421111453111325899999993495598235379999999994247375163167999999963253466788499998189834999999999985299942139 SUB_sec LLLLL..L..HHHHHHHHHHH....LLLL..HHHH..LLL.EEEE..LLLLLL......HHHHHHHLLLLL....LLLEEEE.L..HHHHHHHHHHH.LL..EEEE.LLL.HHHHHHHHH.LL.EEEE.LLL.HHHHHHHHHHH.LLLEEE.LLLLL........HHHHHHHH..LLLEEEEE.L.HHHHHHHHHHHHH.LLL.EEEE..LLLHHHHHHHHH.LLL...LL.......L......HHHHHHHHH..LLEEE..L.HHHHHHHHHH...L.EE.L..HHHHHHHHHH..L..LLLLL.EEEEE.LLL..HHHHHHHHHHHH.LLL....L P_3_acc eeeebebbbeebeebeeebeebbeebbbeebeebbeebebebbbeeeeeeeb bbebbbbbbbbeeb eeeeeeeeebbbbbbbbbbbbbbbbbbeebbbebbbbbbee bebebebbee bbebbbbbee eebeeebeebeeeee ebbbbbe bbbbbbbbbbbbebbeebeebebbbbbbbbbbbbbbbbbbbeeb eebebbbb bebbbbbebbbeeeeebbebeebebbbebbbbebbeebbebbeebbeebbbbbeeebbbbbeebbeebebbbebbbbbbbbbbeeeeeeeeeeeeeebbbbbbbbbbebbebeebeeebeeeeeeebbb Rel_acc 122101202001125112711150211021012533100117460001011117616057002502302202321034689757101608665771040318194721000301011712031155212110210211312203310002601001106625030582082212221028894633245687844361211115177770210201310502211111121120035123221551155226120110534601106126711512101064123146879651111011010302069896432020401402512003103211201 SUB_acc ..............b...b...b..........b.......bbb.........bb.b.bb...b.............bbbbbbb...b.bbbbbb..b...b.bbb...........b......bb........................b.......bb.b...bb..b.........bbbbb...bbbbbbbb.b......b.bbbb..........b................b......bb..bb..b......b.bb....b..bb..b......bb....bbbbbbb..............bbbbbb.....b..b..b..............
--- --- GLOBE: prediction of protein globularity --- --- nexp = 147 (number of predicted exposed residues) --- nfit = 139 (number of expected exposed residues --- diff = 8.00 (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 = 339 : 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 1 189.93 322 31 14 5.57 34 495 1tdj _ID: 1; 2 104.73 312 75 27 2.35 28 397 2tys_B OL_ID: 1; 3 102.13 309 166 35 2.25 34 566 2kau_C OLECULE: KLEBSIELLA AEROG 4 101.87 326 138 29 2.24 27 602 1cii _ID: 1; 5 101.73 320 129 36 2.24 33 727 1req_A OL_ID: 1; 6 101.27 316 74 27 2.22 28 530 2frv_B OL_ID: 1; 7 101.13 322 140 34 2.22 30 605 1aor_A LDEHYDE FERREDOXIN OXIDOR 8 100.67 304 83 28 2.20 28 399 1rom _ID: 1; 9 100.53 305 102 33 2.19 30 404 1psd_A -3-PHOSPHOGLYCERATE DEHYD 10 99.80 310 112 31 2.17 32 678 1trk_A TRANSKETOLASE (E.C.2.2.1. 11 99.60 310 121 34 2.16 31 757 1kit L_ID: 1; 12 99.20 330 135 31 2.14 27 839 1yge L_ID: 1; 13 98.07 310 84 31 2.10 28 376 1bhe L_ID: 1; 14 97.93 304 96 29 2.10 31 418 1uae L_ID: 1; 15 97.33 318 107 32 2.07 27 442 1mro_B MOL_ID: 1; 16 97.13 318 150 34 2.07 31 870 1dik L_ID: 1; 17 97.13 298 109 33 2.07 28 561 3pmg_A MOL_ID: 1; 18 96.73 323 94 26 2.05 26 401 1fcd_A FLAVOCYTOCHROME C SULFIDE 19 96.60 323 147 40 2.05 30 698 1aa6 L_ID: 1; 20 96.60 318 83 26 2.05 28 458 1lvl HYDROLIPOAMIDE DEHYDROGEN --- --- 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 MCAQYCISFADVEKAHINIQDSIHLTPVLTSSILNQIAGRNLFFKCELFQK HHHHHHHHHHHHHH HHHHH EEEEEE OOOOBOBBBOOBOOBOOOBOOBBOOBBBOOBOOBBOOBOBOBBBOOOOOOO 1. 1tdj 189.93 AEY...LRAVLRAPVY..EAAQVTPllSSRLDNVI.....LVKREDRQP HHH...HHHHHHLLHH..HLLLLLLEHHHHLLLEE.....EEELHHHLL E A Q L AGR KC L K 2. 2tys_B 104.73 ALNQLEEAFVRAQKDPEFQAQF.ADLLKNYAGrtALTKCqlYLK HHHHHHHHHHHHHLLHHHHHHH.HHHHHHLLLLLLEEELLEEEE AD E I D L VLT I I K F K 3. 2kau_C 102.13 VRLADTE.LWIEVEDDLtlAavLTNaiVDhiVKADIGVkgRIFak EELLLLL.LEEELLEELLLHHEEEEEEEELEEEEEEEEELEEEEL A I Q L L IAG L ELF 4. 1cii 101.87 LRAGNADAADITRQEFRLLQAELREYGftEIAGYdlRLHTelFAD HHHLLLLHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH AD E A D S LNQ A R FF F 5. 1req_A 101.73 ADIEMAY.TLADGVDYIRAGESVGLnqFAPRLSFfgMNFFME HHHHHHH.HHHHHHHHHHHHHHLLLLHLHHHEEEELLLHHHH C Y A V I L LT Q LF 6. 2frv_B 101.27 VC.TYVHALASVRAVdvKIPENATLMRNLT..MGAQYMHDHlfYH...LHA LL.LLHHHHHHHHHHHLLLLHHHHHHHHHH..HHHHHHHHHHHHH...LLH F I L L G L K 7. 1aor_A 101.13 RfvNLSTGDIKVEE...YDEELAKKWLGS.RGLAIY....LLLK EEEELLLLEEEEEE...LLHHHHHHHLLL.HHHHHH....HHHH S A H S L V TS Q A F Q 8. 1rom 100.67 SLAWLVTKHKDvaTSEKLSKVRtsASGKQAaaKPTFVDMdmHQR LEEEEELLHHHHHHLLLEELLLLLHHHHHHLLLLLHHHLLHHHH A Y I F D E AHI HLT V T L A R F F 9. 1psd_A 100.53 AGYtiEFhdDEqahiGLRSRTHLTevitNQvlDAAAKRGivFN.APFSN LLLLEEELLHHHLLEEELLLLLELHHHLLLEHHHHHLLLLEEL.LLLLL F D K I I S H PVL S N G 10. 1trk_A 99.80 QFTDIDksTIRiaNSGhmApvLWSQmiNrsNGHAVALLYSMLHL LLLHHHHHHHHHHLLLLHHHHHHHHLLLLLLHHHHHHHHHHHHH I A N Q I T V S QIAG EL 11. 1kit 99.60 IFYSVYDVASGNWQAPIDVtqVKERSF..QIAG...WGGSELYRR EEEEEEELLLLEEEEEEELHHHLLLLE..EEEL...LLEEEEEEE I F A I L S L I F C 12. 1yge 99.20 SAFNIHFegIPGAFY.IKNYMQVEFFLKSLTLEAISNqtIRFVCNSWvn EEEEEEEELLEEEEE.EEELLLLLEEEEEEEELLLLLLLEEEEEEEEEE C AD A IQ L AG F L 13. 1bhe 98.07 PSSCTTlaDSSTATSTIQKALNNCDQGKAVRLS..AGssVFLSGPLSLP LLEEEEELLLLELHHHHHHHHLLLLLLLEEEEE..LLLLEEEELLEELL A I FA IQ L V TS L QI RN F C K 14. 1uae 97.93 AALPILFAalAEEPVEIQNVPKLKDVDTskLLSqiDArnVF..CAPYdk HHHHHHHHHHELLLEEEELLLLLHHHHHHHHHHHEELLLLL..ELLHHL I I I T V I N C 15. 1mro_B 97.33 ALSPLRNPAisIVQGIKRtaVNLEGIENALKTAKvgPACKIMGR HHLLLLLHHHHHHHHHHHEEEEHHHHHHHHHHLLLLLLLLLLLL C Y S IQD I TP L S ILN G N E F K 16. 1dik 97.13 CTEYYNSGKQITQ...EIQDQIfitpLLVstILNL..GLN.DVAVEGfkK HHHHHLLLLLLLH...HHHHHHHHHEELEEEEEEE..LLL.LLHHHHHHH C K P T I RN F K EL 17. 3pmg_A 97.13 ICPDLKVDLGVLGKQQFDLEN..KFKP.FTVEIVDSVEarNIflK.ELLSG ELLLLLLLLLLLEEEEELLLL..LLLL.EEEEEELLLHHHLLLHH.HHHHL A Y I AD I T T N G K 18. 1fcd_A 96.73 AKY.IKLADPSIEVTLIEPN...TDYYTCYLSNEVIGGD........RK HHH.HHHHLLLLEEEEELLL...LLEELLLLHHHHHHLL........LL CA CI A N Q L NQI L K 19. 1aa6 96.60 CASGciNlaEAAQGKTN.QGTLCLKGYYGWDFInqILTPRL..KTPMIRR ELLLLEEEEEELLLLLL.LLLLLHHHHHLLHHHHLLLLLEL..LLLEELL A I L LN I L E F 20. 1lvl 96.60 AAIRAGQLGIPTVLVEGQALGGTCLncIPSKALIHVAEQFHQ HHHHHHHHLLLEEEELLLLLLHHHHHHHHHHHHHHHHHHHHH --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1tdj 189.93 PVHSFKLRGAYAMMAGL...TEEQKAHGVITASAGNHAQGVAfsARL.GVK LLLLLLHHHHHHHHHLL...LLLLLLLLLEEEELLLLHHHHHHHHHL.LLL K GA N GL K G HG A A L G 2. 2tys_B 104.73 KREDLLHGGatNQVLglLA.KRMGKSEIIAETGAGQHGVASALASALLGLK EEHHHLLLLEHHHHHHHHH.HHLLLLEEEEEELLLHHHHHHHHHHHHHLLE K G I GA A G I DTP A VT G G A T A P 3. 2kau_C 102.13 kAGNPDIqgavIAAEGKIvdtpQQAEEALvtMVGGGTGPAatHATTCTPGP LEELLLLLLLEEELLLLEEEELHHHHHHHHEEEEELLLLLHHHHLLLLLHH S I A NA EE K T S N G AL A L 4. 1cii 101.87 DADSLRikDAQNADKKAADMLAeeRRKGIltRLskNGGAAL...AVLDAQQ HLLLLLLHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH...HHHHHHH K R A L PK THS G LTYAA 5. 1req_A 101.73 EVA..KLRAARMLWAKLVHQFGPKNPksLRTHSQTS.GWSLtyaahTNSLD HHH..HHHHHHHHHHHHHHLLLLLLHHLLLEEEEEL.HHHLLLHHELLLLL ALNA L P T E K KA V SG G T A L G P 6. 2frv_B 101.27 ALDWVNVANALNaaNDLSptTTeaKVKALV..ESGQLG.IFTNAYFLGGHP HHHLLLHHHHHHLHHHHLLLLHHHHHHHHH..LLLLLH.HHLLLLLLLLLL K L LIP T P VVT S GN G K G 7. 1aor_A 101.13 KEMDPTV.DPLSPENKLipLTGTSAPtnVVTKstgnSGGYFGAELKFAGYD HHLLLLL.LLLLLLLLEELLLLLLLLLEEEEELLLEELLLHHHHHHHLLLL F A I T N L L P 8. 1rom 100.67 RspTF.TPEAVKNLQPYIQRTVDDLLEQMKQKGCANGPVDLVKEFALP.VP HLHHH.LHHHHHHLHHHHHHHHHHHHHHHHLLLLLLLLEEHHHHLLLH.HH T S I L RG PE KA N A AKL GI 9. 1psd_A 100.53 NTRslVIGELLLLLRGV....PEANAKA..HRGVWNKLAAGSFEakL.GII LHHHHHHHHHHHHHLLH....HHHHHHH..LLLELLLLHHHLLLLEE.EEE TG I L R L P PEE P VT G GQ AA L P 10. 1trk_A 99.80 LTgdLSI.EDLKQFRQltPGHPeeLPGVEVT..TGPLGQGISNaaNLAAtp HLLLLLH.HHHLLLLLLLLLLLLLLLLLLLL..LLLLLHHHHHHHHHHHHL S KIRGA N I K VVT S G A L G 11. 1kit 99.60 RNTSlkIrgAANQIQ.....VADGSRKYVVTLSIDESGGLV...ANLNGVS EELLLEEEELLEEEE.....EEELLEEEEEEEEELLLLLEE...EEELLLL T K R P E P V GN G Y 12. 1yge 99.20 nTKLYK......SVRIFFANhpSETPAPLVSYrrGntGERKEY.DRIYDYD EHHHLL......LLEEEELLLHHHLLHHHHHHHHLLLLLLLLL.LLLLLEE GS I G L A E P V G G 13. 1bhe 98.07 PSgsLLikgtLRAVNN..AKSFENAPSsgVVDKNG............KGCD LLLEEEELLEEEELLL..LHHHELLLLLLLEELLL............LLEL KT R A L G L LE 14. 1uae 97.93 kT....MRASIWALGPLVARFGQGQVSLPGGCTIGARPVDLHI.SGLEQLG LL....LLHHHHHHHHHHHHHLEEEEELLLLLLLLLLLLHHHH.HHHHHLL I G I I T A V S A YAA L 15. 1mro_B 97.33 RELDLDIVGNAESikEMIQVTEDdgKRALVQVPSARFDVAAEyaAPLVTAT LLLLLLLHHHHHHHHHHHLLLLLLHLEEEEELLHHHLLLLLLLHHHHHHHH KTG R A R I VV H A K EG 16. 1dik 97.13 KTGNP..RFAYDSYRRFIQMYSD.....VVMEVPKSHFEKIIDAMKEegV. HHLLH..HHHHHHHHHHHHHHHH.....HLLLLLHHHHHHHHHHHHLLLL. KIR A G AV G H LTYAA L 17. 3pmg_A 97.13 GPNRLKIR..IDAMHGVveELGAPANSAvlEDFGGHHPDplTYAADL.... LLLLLLEE..EELLLLLLLLLLLLHHHEELLLHHHLLLLLLLLLHHH.... K S K G L A G D K V G G L YAAKL 18. 1fcd_A 96.73 KLESIK.HggLRA.HgvVHDSAtdPDKKLVKTAGgaPGIELIyaAKLP..H LHHHHE.ELHHHL.LLEELLLEELLLLLEEEELLLLLLEEELLLLLLL..L K ALN E P A T SS G Y A P 19. 1aa6 96.60 RQRGGKLeeALNYVAERLSAIKEkgPDAIQTtsSRGTGNETNYvaRVXHGP LLLLLLLEHHHHHHHHHHHHHHHHLHHHEEEELLLLLLHHHHHHHHHHLHH F L A LI K V G HG A L G 20. 1lvl 96.60 QASRFTEPSPLgaSPRliGQSVAWKDGIVDRLTTgkHGVKVvwAKVLDG.. HHHHLLLLLLLLLLLLLHHHHHHHHHHHHHHHHHHHLLLEEELEEEEEL.. --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1tdj 189.93 KALIVMPTATADIKVDAVRGFGGEVLLHGAndEAKAKAIE..LSQQQgtWV LEEEELLLLLLHHHHHHHHHHLLEEELLLLLHHHHHHHHH..HHHHHLEEL I V PN GA V C D S T M T G 2. 2tys_B 104.73 KCRIyvERQSPN..VFRMRLMGAEvvhcNerDWSGSYETAHYMLGtaGPHP EEEEEHHHLHHH..HHHHHHLLLEEELHHHHHHHHHLLLEEELLLLLLLLL P YI A I G V P D RE V G 3. 2kau_C 102.13 PWYISRMLQAADSLPVNIGLLGKGNVS.QP.DALREQVAAGVI....GLKI HHHHHHHHHHHLLLLLEEEEEEELLLL.LH.HHHHHHHHHLLL....EEEE A QT N AI S R TQ Q G V 4. 1cii 101.87 QARLLGQQT.RNDR..AISEARNKLSSVTEsnTARNALtqQLTQqpDgtIV HHHHHHHHH.HHHH..HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH I P A N Q G V DP S E T QE EGI 5. 1req_A 101.73 DEAIALprIARNTQLFLQQESGTTRVI.DPWSGsvEELTWDliQEVegIPK LLLLLLLHHHHHHHHHHHHLLLLLLLL.LLLLLLHHHHHHHHHHHHHLHHH PAY TA L QA A TQ G 6. 2frv_B 101.27 PAYVLPAetAHYLEALRVqaARAMAIF.....GAKNPHTQ..FTVVGGCTN LLLLLLLLHHHHHHHHHHHHHHHHHHH.....HLLLLLLL..LEELLEELL A IVV A K I AS E E I 7. 1aor_A 101.13 DA.IVVEGKAEkiKDEHIEIRDASHIWGKKVSETEATIRKEVGSEKVKisI LE.EEEELLLLLEELLEEEEEELLLLLLLLHHHHHHHHHHHHLLLLLEEEL P YI VP T N AI G S S E V QR IL 8. 1rom 100.67 PSYIivplTQQN....AIRTNGSSTAR.EASAANQelVEQRLVEPKDDilC HHHHHLLHHHHH....HHHHLLLLLHH.HHHHHHHHHHHHHHHLLLLLHHH Y L I A G D V Q M V 9. 1psd_A 100.53 IGYGHIG......TQLGILalGMYVYFYDIENknATQV.QHlmSDVVSLHV ELLLLLH......HHHHHHHLLLEEEEELLLLLLLEEL.LLHHLLEEEELL P A KL I Y D E V R E G V 10. 1trk_A 99.80 pGFTliSSEASshLKLgiAIYDDNKITIDGATSIseDVAKRY..EAYGWEv LLELLHHHHHHHHLLLLEEEEEELLEELLEEHHHLLLHHHHH..HHHLLEE A I Q Y A D S E R V Q I G LV 11. 1kit 99.60 SAPIILQSEHAKVHSfeLQ.YSatTLFVDgsQEnrLHV.QKIVLTQQGhlv LLLEEEELLHHHHLLLEEE.EELEEEEELLLLLEEEEE.EEEEEEELLEEE Y KLA G S P D EK L 12. 1yge 99.20 DVYNDLGNPDKS.EKLARPVLGGSSTFPYptDPNTEKQGEVFYVPRDENLG ELELLLLLLLLL.HHHLLLLELLLLLLLLLLLLLLELLLLLLLLLHHHLLL A I TA I YG D KV 13. 1bhe 98.07 DAFI....TAVSTTNSGI..YGPGTI..DGQGGVkkKVSWWELAADAKVKK LLLE....EEELLELLEE..ELLLEE..ELLLLLLLLLLLLHHHHHHHHHL A I A L GA IV D T IM TEGI 14. 1uae 97.93 GATIKLEekASVDGRLK....GAHIV....MDKVSVGATVTImaAtegiIE LLEEEEELEEELLLLLE....LLEEE....LLLLLHHHHHHHHHHLELEEE A I V N K A Y S Y Q E GI V 15. 1mro_B 97.33 TAfiivSMYDANMVKAAVLgyPQSVEYMGANIATMLDIPQKL..EGPgiMV HHHHHLLLLLHHHHHHHHHLLLLLLLLLLLLEELLLLLHHHL..LLLLLLH TA K LA A VY E M 16. 1dik 97.13 ..HFDTDLTADDLKELA.EKFKA..VYKEagEEFPQEPKDQLMGAVKAVFR ..LLHHHLLHHHHHHHH.HHHHH..HHHHLLLLLLLLHHHHHHHHHHHHHH V T K GA D R G V 17. 3pmg_A 97.13 ....V..ETM....KSGEHDFGAAF....DGDGDRN.....MILGKHGFFV ....H..HHH....HLLLLLEEEEE....LLLLLLE.....EEEEHHHLEL A QTA K L A G V P RE Q I 18. 1fcd_A 96.73 HAWKAGEQTAILRKQLEDMADGGTVVIAPPAAPFreRASqyYLKasKVIIL LLLLLLHHHHHHHHHHHHLLLLLLEEEELLLLLLLHHHHHHHHHHLLEEEE P Q N AI V P D S V I V 19. 1aa6 96.60 PSVAGLHQSVGN.GAmaINEIDNtlVfyNPAD.SHPIVANHVirNGAKIIv HHHHHHHHHHLL.LLLLHHHHHHLEEELLHHH.HLHHHHHHHHHLLLEEEE V C L A G S V P V TE 20. 1lvl 96.60 .KQVEVDGQRIQCEHL.LLATGSSSVE.LPMLPLGGPV....ISSTEALAP .LEEEELLEEEELLEE.EELLLEEELL.ELLELLELLE....ELHHHHLLL --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1tdj 189.93 VPPFDHPMVIAGQGTLALELLQQDAHLDRVFVPVGGGGLAAGVAVLIKQLM LLLLLLHHHHHHHHHHHHHHHHHLLLLLEEEEELLLLHHHHHHHHHHHHHL P E G T A L L DA VGGGGM A I 2. 2tys_B 104.73 PYPtrEFQRMIGEETKA.QILdeGRLPDAVIACVGGggMFADF...IN..D LHHHHHLLLHHHHHHHH.HHHHHLLLLLEEEEELLLLHHHHHH...LL..L H PA I T A E LN V GGGG I IT A 3. 2kau_C 102.13 IHEdaTPAAIDCALTVADEmlNESGFVEDTLAAIggGGHAPDI.ITACA.H EEHHLLHHHHHHHHHHHHHHLLLLLLHHHHHHHHLLLLLLLLH.HHHHH.L V P P V G GTI V L G 4. 1cii 101.87 VSPEKFPgvVSGdgTIKiaVIDNRANLNYLLSHSgrNILNDRNPVVTEDVE HLLLLLLEELLLLLEEEEEEELLHHHHHHHHLLLHHHLLLLLLLLLLLLHH E A I GQ I L P D V V A A A 5. 1req_A 101.73 KMRIEEAAaisgqPLIGVnrLEHEPPLD..VLKVDNSTVLAekavKLRAER HHHHHHHHHHHLLLLELLLLLLLLLLLL..LLLLLHHHHHHHHHHHHHHHL P IA EV QV D L V G AGI T L 6. 2frv_B 101.27 NYDSLRPERIAEFRKLYKEviEQVYITDLLAVA....GFyaGIGKTSNFL. LLHHHLHHHHHHHHHHHHHHHHHLHHHHHHHHH....HLLHHLLLLLLEE. P E A AG G IA E VP D LVVPV GGG G A 7. 1aor_A 101.13 IGPAGeaAImaGRgaIAVEGSKTVPIAdmLVvpVAGGGLPkgTAVLVNIIN LLHHHHELEEELLLEEEEELLLLLLLLLHHHHHHHHLHHHHLHHHHHHHHH P I L L V G MV IA L 8. 1rom 100.67 CTEQVKPGNIDKSDAVQIAFL........LLVA.GNATMVNMIALGVATLA HHHLLLLLLLLHHHHHHHHHH........HHHL.LHHHHHHHHHHHHHHHH V N G I L L A G V IA K L 9. 1psd_A 100.53 VPENPSTKNMMGAKEISLMKPGSL.LINA......SRGTVVDiaLASKHlg LLLLLLLLLLELHHHHHHLLLLEE.EEEL......LLLLLELHHHHLLLEE V N A IA IA L P G G AG 10. 1trk_A 99.80 vnGNEDLAGIA..KAIAQAKLsdKPTLIKMTTTIGYGSLHAG......... ELLLLLHHHHH..HHHHHHLLLLLLEEEEEELLLLLLLLLLL......... V Q P V G N L A V P G G GIAI 11. 1kit 99.60 vlAQQTPEvlEKLGWTKIKTGNTMSLynASVNPGPGHGiiSgiaIVLDRFF EHHLLLLLLHHHHLLEEEEEELLEEEELLEEELLLLLLELLLEEEEELLLL H A G A E L P V L GG TI L 12. 1yge 99.20 GHLKSKDALEIGTKSlaFEslKSTPivHDLY..EGGIKLPRDVISTIIPL. LLLLHHHLHHHHHHHHHHHHLLLLLLHHHHH..LLLEELLHHHHHHHLLL. P I N V L VV G G A TIK 13. 1bhe 98.07 KLKQNTPRLIQINKSKNFTLYN.VSLINshVVFSDGDGFTA.WKTTIkgID LLEELLLLLEEEELLEEEEEEE.EEEELLLEEEELLEEEEE.EEEEEELEE EPA I GQGTI E V P G AI 14. 1uae 97.93 ENAAREpaKISGQGtiVIEGVERLGGGVYRVLpiETGTFLVAAAIS..... ELLLLLHLEEELLLLEEEELLLLELLEEEELLEHHHHHHHHHHHHL..... V NQ A I Q A E L D LV G G V IA AL 15. 1mro_B 97.33 VnknqAAAliLEQTAmaFERMHLLGlaDNLVFDlgKEGTvsVIalVERALE HHLLHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHLLLLLHHHHHHHHHHHH A I G GT A V V G G A TI A 16. 1dik 97.13 RSWDNPRAiiPGdgT.AVN.......VQTMVFGNKGETSGTGVAFtiNAQG HHLLLHHHHLLLLLE.EEE.......EEELLLLLLLLLLEEEEEEEELLLH V P AVIA Q V G A A K 17. 3pmg_A 97.13 VNPSDSVAVIAAN.IFSIPYFQQTG.VRGFARSMPTSGALDRVA...NATK LLHHHHHHHHHHL.HHHLHHHHHHL.LLLEEEELLLLLHHHHHH...HLLL Q G GT P D VV V GG M A KAL 18. 1fcd_A 96.73 LDSSQTfeRLYGFGT.ENAMIEWHPGPDSAVVKVDGGEMMVETAfeFKalI ELLLLLLHHHHLLLL.LLLLEEEELLLLLLEEEEEELLLEEEELLEEELEL V P E A IA IAL L A V G V G IT A 19. 1aa6 96.60 vdPRkeTARIADM.HIALKNGSNIALLNAmfVASRTEgiVEGydItvSaiR ELLLLHHHHHLLE.EELLLLLLHHHHHHHHHHHHHEELHHLLLHHHLLHHH V G G I LE L QV V A P A A KAL 20. 1lvl 96.60 PKALPQHLVVVGGGYIGLEllaQVSVVEarILPTYDSELTAPVAESLkaLh LLLLLLEEEEELLLHHHHHHHLEEEEELLLLLLLLLHHHHHHHHHHHHEEE --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1tdj 189.93 MPQIKVIAVEAEDS.ACLKAALDAGHPVDLPRVGLFAEGVakRIGDETFRL LLLLEEEEEEELLL.LHHHHHHHHLLLLLLLLLLLLLLLLLLLLLLHHHHH SV EP LKG P I S GL P 2. 2tys_B 104.73 DTSVGLIGVEPGgeTGEHGAPLkgMKAPMMQTAdqIEESYSISAGLD.FPS LLLLEEEEEEEEEHHLELLLHHHEEEEEELELLLLELLLLLLLHHHL.LLE P PS L LH IA V S I T 3. 2kau_C 102.13 HPNIL.....PSSTNPTLPYTLN.TIDEHlhLDPDIAEDveSRIRRETIA. LLLEE.....EEELLLLLLLELL.HHHHHHLLLLLLHHHHHHHLLHHHHH. K Y AE D Q L L D K I I 4. 1cii 101.87 EGDKKIYNAEVAEWDKLRQRLlrNNLSARTNEQKHANDAlkENIRNQLSGI HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH KV AA N DD LKGE L TI GV S NT 5. 1req_A 101.73 RDPEKVKAaaAGNPddPDRNLLkgEMSDAlyTAqtIS.GVYSKEVKNTPEv LLHHHHHHHHHHLLLLHHHLHHHHHHHHHHLLLLLLL.LLHHHHLLLLHHH YQ G P I VK S G 6. 2frv_B 101.27 ..TCGEFPTDEYDLNSRyqGVIWGNDLSKVDdpDLIEEHVKYSwgAGAHHP ..ELLELLLLLLLHHHLLLEEEELLEEEEEELHHHEEEELLLLLLLLLELH VKVYA E S CY L GEL NL IA GL T 7. 1aor_A 101.13 NEnvkvyaYEQSGekPCYanRLpgelGANlnDLASiaNHMCDELGLDTIST HHLELLLHHHHLHHELLLLEEELEEHLHHHLLHHHHHHHHHHHHLELHHHH AA PS A CY I D V G 8. 1rom 100.67 AQHPDQLaaNPSLAPqcyHTASALAIKRTAKEDVMIGDkvRANEGisNQSA HHLHHHHHHLHHHHHHHHLLLLLLLLEEEELLLELLLLLELLLLEELHHHH V EP D S L LTP A IGL 9. 1psd_A 100.53 gAAIDVFPTEPATNSDPFTSPlnVLLTPHIGGSTQEA...QENIGLEVAGK EEEELLLLLLLLLLLLELLLHHLEEELLLLLLLLHHH...HHHHHHHHHHH S V A P ADD Q K K P P D IG N W 10. 1trk_A 99.80 ..SHSVHGA.PLKADDVKQLKSKFGFNpsFVVPQEVYDHYQKTigvnKWNK ..LHHHLLL.LLLHHHHHHHHHHLLLLLLLLLLHHHHHHHHHHLHHHHHHH V Y SN Q G P I KSS L T P 11. 1kit 99.60 FLNvsIYSDdgSN....WQT...GSTLP.......IPFRWKSSSILETlpS LEEEEEEELLLLL....LEE...EEELL.......LLLEEEELLEEELLEE P K Y Q T E IA GV GL PI 12. 1yge 99.20 .PVIklYRTDGQhqPHVVQVSQSAWMTDEEFAREMIA.GVNPCvgLEEFpi .LLHHHLEELLLLLLHHHLLLLLHHHLHHHHHHHHHH.LLLLLLELLLLLL PS K SN DD K KG T NLH G SIG T 13. 1bhe 98.07 DpsSKNITIAYSngDDNVAIkyKGRatRnlH..NDFGTGHGMSIGSETMGV EELLEEEEEELLELLLLEEEELLLLLEEEEE..EEELLLLLEEEEEEELLE K A P D KL I G I L 14. 1uae 97.93 ..RGKIinAQPDTLDA.VLAKLR.......DAGADIEVG.EDWISLDMHG. ..LLEEELLLHHHHHH.HHHHHH.......HLLLEEEEL.LLEEEEELLL. VKVY Y G A GV S L 15. 1mro_B 97.33 EDGvkVYGTDDLAMWNAYAA..AGLMAATmqGAARAAQGVSSTldLIEFET HLLLEEEELLLHHHHHHHHH..HHHHHHHHHHHHLLHHHHHHHHHHHHHHH V V P DCY L L TI G G T PI 16. 1dik 97.13 GEDvgVRTPQpnDMPDCYKqdLAMKLEKHFRDMqtIEEglQTRNGKRTApi HHHHLLLLLEEHHLHHHHHHHHHHHHHHHLLLLEEEELLEELLELLLLHHH K Y P N D SKL GE T H E DG L 17. 3pmg_A 97.13 K..IALYE.TPtnLMD..ASKLsgegTGSDHIRE..KDGLWAVLalSILAT L..LLEEE.ELLHHHH..LLLLLEEEEEELLLLL..LLHHHHHHHHHHHHH P K A A C S IA KS N 18. 1fcd_A 96.73 IpaGKiiAGLTNDAGWcfESSIHKGI..HVIGDASIANPmkSGYSANSQGK LLELHHHHLLLLLLLLELEELLLLLE..EELLLLEELLLLLLHHHHHHHHH YA S A YQ L LT NL P V GL T P 19. 1aa6 96.60 RQAARMYAQAKSAatQFYqrSLtaMLTGNLGKPHAGVNPVRGqmgldTYPG HHHHHHHHHLLLEEHLLLLHHHHHHHLLLLLLLLLLEEELLLELLELEELL SV Y A D L EL P T G N I 20. 1lvl 96.60 hhSVEGYENGCLLANDGKGGQLRLelVAVGRRPRT..KGFNLelKMNGAAI ELEEEEEELLEEEEELLLLLLLEELEELLLEEELL..LLLLHHLLEELLEE --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1tdj 189.93 LCQEYLDDIITVDSDAICAAMKDLFEDVRAVAEPSGALALAG.MKKYIALH HHLLLLLEEEEELHHHHHHHHHHHHHHLLLLLLHHHHHHHHH.HHHHHHHH D T DE A ALA L 2. 2tys_B 104.73 SvhAYLndYVSITDDEALEAFKTLCRHEGIIPALESSHALAHAL..KMMRE ELHHHHHEEEEEEHHHHHHHHHHHHHHHLLLELHHHHHHHHHHH..HHHHH D D F T E T V RMK I PT G ALA V S F V 3. 2kau_C 102.13 .AEDVLHDlfSLTsgEVILRTWQVAHRMKvtINptHGIalavVWSPAFFGV .HHHHHHHHLLEELLLHHHHHHHHHHHHHHLHHHHLLLLELEEELHHHLLL I D T D I T G L AG A AA LS 4. 1cii 101.87 INQKIAedELKATKDAINFTTEFlygkAEQLAREMAgaAIAAAlsVKLSDI HHHHHHHHHHHHHHHHHHHHHHHHHLHHHHHHHHHHHHHHHHHHLLLHHHH R LV F E I A Q R K A FQT 5. 1req_A 101.73 vaRELVEE.FEQAepRILLAkqDGHDrqKVIATAYADLGFDVDVGPLFQTP HHHHHHHH.HHHHHLEEEEELLLLLLHHHHHHHHHHHHLLEEEELLLLELH T E Y R K E LA VL 6. 2frv_B 101.27 PYKGVTKPKWTEFHGEDRY.SWMKAPRYK..GEAFEVGPLASVLVAYAKKH HHHLLLLELLLLLLELLEL.LLLLEEEEL..LELLELLHHHHHHHHHHLLL L E A WG LIE AG LA L 7. 1aor_A 101.13 TGGTLAteLyhIKDEELGDAPPFRWGNTEVliEKIagDKLAerLAESYGH. HHHHHHHHHHLLLHHHHLLLLLLLLLLLHHHHHHHHHHHHLLHHHHHLLL. RD VF DE K Q G E A L V S Q 8. 1rom 100.67 ANRD..EEVFE.NPDEfkWPPqfGFGDHRCIAEHLAKAELTTVFSTLYQKF HLLL..LLLLL.LLLLLLLLLLLLLHHHLLLLHHHHHHHHHHHHLLHHHHL D T G L IE GVAL Q QT 9. 1psd_A 100.53 KLIKYSDNGSTLSAVNFPEVSLPLHGGRRLmieNRPGvaLNKIfaQYLQT. HHHHHHHHLLLLLLLLLLLLLLLLLLLLEEEEELLLLHHHHHHHEEEEEE. F E A L G EPT AV TV 10. 1trk_A 99.80 KLFSEYQKKFPELGAEL..ARRL.SGQLPANWepTYTAKDSAVATRKleTV HHHHHHHHHLHHHHHHH..HHHH.HLLLLLLHHLLLLLLLLLEEHHHHHHH D V D T Q V GR L G L A F 11. 1kit 99.60 SEADMVedLL.LTA.RLDF.NQIVNgrQQFL.SKDGGItlEANNANVFSNI EEEEEEELEE.EEE.EELL.LLEELLEEEEE.ELLLLLLEEEEEHHHLLLL I D DD T E I YAT G KL AG L A SQ 12. 1yge 99.20 iTADSLddGYTMDehDitYATRTIlgTLklSLPHSAG.DLSAAVSQVVLPA LLHHHLLLLLLHHHHHHLLEEEEEELLEEEELLLLLL.LLLLLLLEEELLL VDD T K A V GRMK IE G F V 13. 1bhe 98.07 VYNVTVDDlmNGTTNGlkSAAGVVNgrmkiVieKKEGSNVPDWSDITFKDV EEEEEEEEEEELLLEEELLLLLEEEEEEEEEELLLLLLLLLEEEEEEEEEE R V T Q L E T G V F V 14. 1uae 97.93 .KRPKAVNVRTAPHPAFPTDMQAQFTLLNLVAEGT.GFITETVFENRFMHV .LLLELLLEELLLLLLLLHHHHHHHHHHHHHLELE.EEEELLLLLLLLLHH VD F V G GVA A L Q 15. 1mro_B 97.33 TGLPSVD..fkVEGTAVGFssHSIYggNHIVTRHSKgvAAAMALDAGTQMF HLLLLHH..HHHHHHHHHHHLLLLLLLLLLLLLLLLLHHHHHHHLLLLLLL I DLVD E E K QL L PTA A AAV T 16. 1dik 97.13 iACDLVDEGMITEEeeAKSLDQLLHPTFnlPASptADEAKAavILVRLET. HHHHHHHLLLLLHHHLHHHHHLLLLLLELEEEELLHHHHHLLEEEEELLL. V D FT E E AT L G AV V 17. 3pmg_A 97.13 TRKQSVEDiftyEEVEAEGATKMMKDLEALMFDRsvGKQFSavYteYHDPV HHLLLHHHHEEEEEELHHHHHHHHHHHHHHHHLLLLLLEEEEEEELEELLL V E T P G AA 18. 1fcd_A 96.73 KVAAAAVVVLLKGEEP...GTPSYLNTCYSILAPAYGISVAAIYRPNAdsA HHHHHHHHHHHHLLLL...LLLLEEEEEEEEEELLEEEEEEEEEEELLLLL V D K A WGR L AG AA QTV 19. 1aa6 96.60 GYQ.YVKD....PANREKFAK..AWgrISELPHRAagEVRAAYieDPLQtv LLE.ELLL....HHHHHHHHH..HLLLHHHHHHHHHLLLLEEEELLHHHHH I D V V G M E AG A AAV V 20. 1lvl 96.60 IAIdsMHNVwdVAGEPMLAHRAMAQGEM..VAEIIAgaAIAAVCFTDPEVv ELLLLLLLEEHHHLLLLLHHHHHHHHHH..HHHHHLLLLLLEEELLLLEEE --- --- TOPITS ALIGNMENTS CONTINUED --- 1. 1tdj 189.93 HNIRGERLAHILSGANVNFHGLRYVSegEQREALLAVTI HLLLLLEEEEELLLLLLLLLHHHHHHHHHLLEEEEEEEL PE VLSGG D A 2. 2tys_B 104.73 EQPEKEQLLVvlSggDKDIFTVHDILKARGE HLLLLLEEEEEELELHHHHHHHHHHHHLLLL V P V GG A P P Q V 3. 2kau_C 102.13 VKPA.....TVIKGGMIAIAPMGDI.NASIPTP.QPV LLLL.....EEEELLEEEEEEELLL.LLLLLLL.LLL S S G TSL W G A R V 4. 1cii 101.87 ISSNLNR....FSRgaGKFTSldWigKAVRTENWRPLFV HHHHHHH....HHHHLLLELLHHHHHHHHHLLLLHHHHH V VL GG L L G RP TV 5. 1req_A 101.73 PEETArdVHVvlAGGHLTlkELDKLG...RPDILITV HHHHHHLLLEELLLLHHHHHHHHHLL...LLLLEEEE P VK V VL V L G A R A Q V V 6. 2frv_B 101.27 HEPTVKAVDLVLKTLGVGPEAlsTLGraArtAA.QEVEV LHHHHHHHHHHHHHHLLLHHHLLHHHHHHHHHH.HHHHH PE L G Y T 7. 1aor_A 101.13 ..PELS.....MTVKKLELPAYDPRGAEGHGLGYAT ..HHHL.....LEELLEELLLLLHHHLHHHHHHHHH P K V L G T LN VG P 8. 1rom 100.67 F.PDLK.VAVPL..GKINYTPLNrvGIVDLPVIF L.LLLE.ELLLH..HHLEELLLLLLLEEELEEEL S V I V L QA P T 9. 1psd_A 100.53 .SAQMGYVViiEADEDVAEKAL....QAMKAIP.GTIR .LLLEEEEEEEELLHHHHHHHH....HHHHLLL.LEEE V V N L GG DLT N E Q S 10. 1trk_A 99.80 VLEDVYNQLPELIGGSADLTPSNLTRWKE.ALDFQPPS HHHHHHLLLLLEEEEELLLHHHHLLLLLL.LLEELLHH S I S G L N G Q 11. 1kit 99.60 ISTGTVDASItqSDGSHFLLFTNPQGNPAGTNGRQNLGL LLLLLLLLEEELLLLLEEEEEEELLLLLLLLLLLELLEE V L V L SLN E PA SV 12. 1yge 99.20 AKEGVESTIWLLAKAYvqLMslNTHAAME.paTHRHLSV LLLHHHHHHHHHHHHHHHHHHHLLHHHHH.HHHHHHLLL V E K V VL G N T N V V 13. 1bhe 98.07 VTSETKGV.VVLNGEniEVTMKNVKLTSDSTWQIKNVNV EEELLLLE.EEEELLLEEEEEEEEELLLLLEEEEELEEE V PE N IVLSG VDL A A TV 14. 1uae 97.93 V.PElsNTVivlSGAQvdLRASASLVLAGCIAEGTTV H.HHHLLEEELLELLEELHHHHHHHHHHHHHLEEEEE SPE IV S VD L V A A 15. 1mro_B 97.33 FSPEATSGLivFS..QVdrEPLKYVVEA..AAEIK LLHHHHLHHHHHL..LLHHLHHHHHHHH..HHHLL SPE GG TS V R VS 16. 1dik 97.13 .SPeiEGMhlTVRGG...MTSHAAV..VARGMGTCCVS .LHHHHHHHEELLLL...LLLHHHH..HHHHHLLEEEE V VKN G L G A T 17. 3pmg_A 97.13 VDGSvknlRLIFADGSRIIFRLSGTGSAG.....ATIRL LLLLELLEEEEELLLLEEEEEEEELLLLL.....EEEEE V SGG WV E Y 18. 1fcd_A 96.73 AIESVPD.....SGGVTPVDAPDWVLEREVQYAYSWYN LEEELLL.....LLEELLLLLLHHHHHHHHHHHHHHHH V V S V L S W G E A Q 19. 1aa6 96.60 vRKAFEDLELVisAADVILPSTSW.GEHetAagFQ HHHHHHHLLEEEHLLLEEEEELLH.HHLLELLEEE V PE CIV G L S V R Q V V 20. 1lvl 96.60 vtPEQASqcIvaNGRAMSLESKsfVRVVARRdgWQAVGV ELHHHHHHEEEHLHHHHHLLLLLEEEEEEELLEEEEEEL --- --- TOPITS ALIGNMENTS END ---
Identities computed with respect to: (1) predict_h1470 Colored by: consensus/70% and property
1 [ . . . . : . . . . 1 . . . . : . . . . 2 . . . . : . . . . 3 . . . ] 339 1 predict_h1470 100.0% MCAQYCISFADVEKAHINIQDSIHLTPVLTSSILNQIAGRNLFFKCELFQKTGSFKIRGALNAIRGLIPDTPEEKPKAVVTHSSGNHGQALTYAAKLEGIPAYIVVPQTAPNCKKLAIQAYGASIVYCDPSDESREKVTQRIMQETEGILVHPNQEPAVIAGQGTIALEVLNQVPLVDALVVPVGGGGMVAGIAITIKALKPSVKVYAAEPSNADDCYQSKLKGELTPNLHPPETIADGVKSSIGLNTWPIIRDLVDDVFTVTEDEIKYATQLVWGRMKLLIEPTAGVALAAVLSQHFQTVSPEVKNVCIVLSGGNVDLTSLNWVGQAERPAPYQTVSV 2 1tdj 31.5% --AEY---LRAVLRAPVY--EAAQVTPllSSRLDNVI-----LVKREDRQPVHSFKLRGAYAMMAGL---TEEQKAHGVITASAGNHAQGVAfsARL-GVKALIVMPTATADIKVDAVRGFGGEVLLHGAndEAKAKAIE--LSQQQgtWVPPFDHPMVIAGQGTLALELLQQDAHLDRVFVPVGGGGLAAGVAVLIKQLMPQIKVIAVEAEDS-ACLKAALDAGHPVDLPRVGLFAEGVakRIGDETFRLCQEYLDDIITVDSDAICAAMKDLFEDVRAVAEPSGALALAG-MKKYIALHNIRGERLAHILSGANVNFHGLRYVSegEQREALLAVTI 3 2tys_B 21.0% -------ALNQLEEAFVRAQKDPEFQAQF-ADLLKNYAGrtALTKCqlYLKREDLLHGGatNQVLglLA-KRMGKSEIIAETGAGQHGVASALASALLGLKCRIyvERQSPN--VFRMRLMGAEvvhcNerDWSGSYETAHYMLGtaGPHPYPtrEFQRMIGEETKA-QILdeGRLPDAVIACVGGggMFADF---IN--DTSVGLIGVEPGgeTGEHGAPLkgMKAPMMQTAdqIEESYSISAGLD-FPSvhAYLndYVSITDDEALEAFKTLCRHEGIIPALESSHALAHAL--KMMREQPEKEQLLVvlSggDKDIFTVHDILKARGE-------- 4 2kau_C 23.9% ------VRLADTE-LWIEVEDDLtlAavLTNaiVDhiVKADIGVkgRIFakAGNPDIqgavIAAEGKIvdtpQQAEEALvtMVGGGTGPAatHATTCTPGPWYISRMLQAADSLPVNIGLLGKGNVS-QP-DALREQVAAGVI----GLKIHEdaTPAAIDCALTVADEmlNESGFVEDTLAAIggGGHAPDI-ITACA-HPNIL-----PSSTNPTLPYTLN-TIDEHlhLDPDIAEDveSRIRRETIA-AEDVLHDlfSLTsgEVILRTWQVAHRMKvtINptHGIalavVWSPAFFGVKPA-----TVIKGGMIAIAPMGDI-NASIPTP-QPV-- 5 1cii 18.9% ------LRAGNADAADITRQEFRLLQAELREYGftEIAGYdlRLHTelFADADSLRikDAQNADKKAADMLAeeRRKGIltRLskNGGAAL---AVLDAQQARLLGQQT-RNDR--AISEARNKLSSVTEsnTARNALtqQLTQqpDgtIVSPEKFPgvVSGdgTIKiaVIDNRANLNYLLSHSgrNILNDRNPVVTEDVEGDKKIYNAEVAEWDKLRQRLlrNNLSARTNEQKHANDAlkENIRNQLSGINQKIAedELKATKDAINFTTEFlygkAEQLAREMAgaAIAAAlsVKLSDISSNLNR----FSRgaGKFTSldWigKAVRTENWRPLFV 6 1req_A 23.2% ---------ADIEMAY-TLADGVDYIRAGESVGLnqFAPRLSFfgMNFFMEVA--KLRAARMLWAKLVHQFGPKNPksLRTHSQTS-GWSLtyaahTNSLDEAIALprIARNTQLFLQQESGTTRVI-DPWSGsvEELTWDliQEVegIPKMRIEEAAaisgqPLIGVnrLEHEPPLD--VLKVDNSTVLAekavKLRAERDPEKVKAaaAGNPddPDRNLLkgEMSDAlyTAqtIS-GVYSKEVKNTPEvaRELVEE-FEQAepRILLAkqDGHDrqKVIATAYADLGFDVDVGPLFQTPEETArdVHVvlAGGHLTlkELDKLG---RPDILITV-- 7 2frv_B 22.1% VC-TYVHALASVRAVdvKIPENATLMRNLT--MGAQYMHDHlfYH---LHALDWVNVANALNaaNDLSptTTeaKVKALV--ESGQLG-IFTNAYFLGGHPAYVLPAetAHYLEALRVqaARAMAIF-----GAKNPHTQ--FTVVGGCTNYDSLRPERIAEFRKLYKEviEQVYITDLLAVA----GFyaGIGKTSNFL--TCGEFPTDEYDLNSRyqGVIWGNDLSKVDdpDLIEEHVKYSwgAGAHHPYKGVTKPKWTEFHGEDRY-SWMKAPRYK--GEAFEVGPLASVLVAYAKKHEPTVKAVDLVLKTLGVGPEAlsTLGraArtAA-QEVEV 8 1aor_A 20.1% -------RfvNLSTGDIKVEE---YDEELAKKWLGS-RGLAIY----LLLKEMDPTV-DPLSPENKLipLTGTSAPtnVVTKstgnSGGYFGAELKFAGYDA-IVVEGKAEkiKDEHIEIRDASHIWGKKVSETEATIRKEVGSEKVKisIGPAGeaAImaGRgaIAVEGSKTVPIAdmLVvpVAGGGLPkgTAVLVNIINEnvkvyaYEQSGekPCYanRLpgelGANlnDLASiaNHMCDELGLDTISTGGTLAteLyhIKDEELGDAPPFRWGNTEVliEKIagDKLAerLAESYGH--PELS-----MTVKKLELPAYDPRGAEGHGLGYAT--- 9 1rom 21.1% -------SLAWLVTKHKDvaTSEKLSKVRtsASGKQAaaKPTFVDMdmHQRspTF-TPEAVKNLQPYIQRTVDDLLEQMKQKGCANGPVDLVKEFALP-VPSYIivplTQQN----AIRTNGSSTAR-EASAANQelVEQRLVEPKDDilCTEQVKPGNIDKSDAVQIAFL--------LLVA-GNATMVNMIALGVATLAQHPDQLaaNPSLAPqcyHTASALAIKRTAKEDVMIGDkvRANEGisNQSANRD--EEVFE-NPDEfkWPPqfGFGDHRCIAEHLAKAELTTVFSTLYQKF-PDLK-VAVPL--GKINYTPLNrvGIVDLPVIF----- 10 1psd_A 21.1% --AGYtiEFhdDEqahiGLRSRTHLTevitNQvlDAAAKRGivFN-APFSNTRslVIGELLLLLRGV----PEANAKA--HRGVWNKLAAGSFEakL-GIIGYGHIG------TQLGILalGMYVYFYDIENknATQV-QHlmSDVVSLHVPENPSTKNMMGAKEISLMKPGSL-LINA------SRGTVVDiaLASKHlgAAIDVFPTEPATNSDPFTSPlnVLLTPHIGGSTQEA---QENIGLEVAGKLIKYSDNGSTLSAVNFPEVSLPLHGGRRLmieNRPGvaLNKIfaQYLQT-SAQMGYVViiEADEDVAEKAL----QAMKAIP-GTIR- 11 1trk_A 23.3% -------QFTDIDksTIRiaNSGhmApvLWSQmiNrsNGHAVALLYSMLHLTgdLSI-EDLKQFRQltPGHPeeLPGVEVT--TGPLGQGISNaaNLAAtpGFTliSSEASshLKLgiAIYDDNKITIDGATSIseDVAKRY--EAYGWEvnGNEDLAGIA--KAIAQAKLsdKPTLIKMTTTIGYGSLHAG----------SHSVHGA-PLKADDVKQLKSKFGFNpsFVVPQEVYDHYQKTigvnKWNKLFSEYQKKFPELGAEL--ARRL-SGQLPANWepTYTAKDSAVATRKleTVLEDVYNQLPELIGGSADLTPSNLTRWKE-ALDFQPPS- 12 1kit 23.1% ------IFYSVYDVASGNWQAPIDVtqVKERSF--QIAG---WGGSELYRRNTSlkIrgAANQIQ-----VADGSRKYVVTLSIDESGGLV---ANLNGVSAPIILQSEHAKVHSfeLQ-YSatTLFVDgsQEnrLHV-QKIVLTQQGhlvlAQQTPEvlEKLGWTKIKTGNTMSLynASVNPGPGHGiiSgiaIVLDRFFLNvsIYSDdgSN----WQT---GSTLP-------IPFRWKSSSILETlpSEADMVedLL-LTA-RLDF-NQIVNgrQQFL-SKDGGItlEANNANVFSNISTGTVDASItqSDGSHFLLFTNPQGNPAGTNGRQNLGL 13 1yge 20.2% --SAFNIHFegIPGAFY-IKNYMQVEFFLKSLTLEAISNqtIRFVCNSWvnTKLYK------SVRIFFANhpSETPAPLVSYrrGntGERKEY-DRIYDYDVYNDLGNPDKS-EKLARPVLGGSSTFPYptDPNTEKQGEVFYVPRDENLGHLKSKDALEIGTKSlaFEslKSTPivHDLY--EGGIKLPRDVISTIIPL-PVIklYRTDGQhqPHVVQVSQSAWMTDEEFAREMIA-GVNPCvgLEEFpiTADSLddGYTMDehDitYATRTIlgTLklSLPHSAG-DLSAAVSQVVLPAKEGVESTIWLLAKAYvqLMslNTHAAME-paTHRHLSV 14 1bhe 20.8% --PSSCTTlaDSSTATSTIQKALNNCDQGKAVRLS--AGssVFLSGPLSLPSgsLLikgtLRAVNN--AKSFENAPSsgVVDKNG------------KGCDAFI----TAVSTTNSGI--YGPGTI--DGQGGVkkKVSWWELAADAKVKKLKQNTPRLIQINKSKNFTLYN-VSLINshVVFSDGDGFTA-WKTTIkgIDpsSKNITIAYSngDDNVAIkyKGRatRnlH--NDFGTGHGMSIGSETMGVYNVTVDDlmNGTTNGlkSAAGVVNgrmkiVieKKEGSNVPDWSDITFKDVTSETKGV-VVLNGEniEVTMKNVKLTSDSTWQIKNVNV 15 1uae 21.5% --AALPILFAalAEEPVEIQNVPKLKDVDTskLLSqiDArnVF--CAPYdkT----MRASIWALGPLVARFGQGQVSLPGGCTIGARPVDLHI-SGLEQLGATIKLEekASVDGRLK----GAHIV----MDKVSVGATVTImaAtegiIENAAREpaKISGQGtiVIEGVERLGGGVYRVLpiETGTFLVAAAIS------RGKIinAQPDTLDA-VLAKLR-------DAGADIEVG-EDWISLDMHG-KRPKAVNVRTAPHPAFPTDMQAQFTLLNLVAEGT-GFITETVFENRFMHV-PElsNTVivlSGAQvdLRASASLVLAGCIAEGTTV-- 16 1mro_B 18.3% -------ALSPLRNPAisIVQGIKRtaVNLEGIENALKTAKvgPACKIMGRELDLDIVGNAESikEMIQVTEDdgKRALVQVPSARFDVAAEyaAPLVTATAfiivSMYDANMVKAAVLgyPQSVEYMGANIATMLDIPQKL--EGPgiMVnknqAAAliLEQTAmaFERMHLLGlaDNLVFDlgKEGTvsVIalVERALEDGvkVYGTDDLAMWNAYAA--AGLMAATmqGAARAAQGVSSTldLIEFETGLPSVD--fkVEGTAVGFssHSIYggNHIVTRHSKgvAAAMALDAGTQMFSPEATSGLivFS--QVdrEPLKYVVEA--AAEIK---- 17 1dik 22.8% -CTEYYNSGKQITQ---EIQDQIfitpLLVstILNL--GLN-DVAVEGfkKTGNP--RFAYDSYRRFIQMYSD-----VVMEVPKSHFEKIIDAMKEegV--HFDTDLTADDLKELA-EKFKA--VYKEagEEFPQEPKDQLMGAVKAVFRSWDNPRAiiPGdgT-AVN-------VQTMVFGNKGETSGTGVAFtiNAQGEDvgVRTPQpnDMPDCYKqdLAMKLEKHFRDMqtIEEglQTRNGKRTApiACDLVDEGMITEEeeAKSLDQLLHPTFnlPASptADEAKAavILVRLET-SPeiEGMhlTVRGG---MTSHAAV--VARGMGTCCVS- 18 3pmg_A 19.8% ICPDLKVDLGVLGKQQFDLEN--KFKP-FTVEIVDSVEarNIflK-ELLSGPNRLKIR--IDAMHGVveELGAPANSAvlEDFGGHHPDplTYAADL-------V--ETM----KSGEHDFGAAF----DGDGDRN-----MILGKHGFFVNPSDSVAVIAAN-IFSIPYFQQTG-VRGFARSMPTSGALDRVA---NATK--IALYE-TPtnLMD--ASKLsgegTGSDHIRE--KDGLWAVLalSILATRKQSVEDiftyEEVEAEGATKMMKDLEALMFDRsvGKQFSavYteYHDPVDGSvknlRLIFADGSRIIFRLSGTGSAG-----ATIRL 19 1fcd_A 21.1% --AKY-IKLADPSIEVTLIEPN---TDYYTCYLSNEVIGGD--------RKLESIK-HggLRA-HgvVHDSAtdPDKKLVKTAGgaPGIELIyaAKLP--HAWKAGEQTAILRKQLEDMADGGTVVIAPPAAPFreRASqyYLKasKVIILDSSQTfeRLYGFGT-ENAMIEWHPGPDSAVVKVDGGEMMVETAfeFKalIpaGKiiAGLTNDAGWcfESSIHKGI--HVIGDASIANPmkSGYSANSQGKVAAAAVVVLLKGEEP---GTPSYLNTCYSILAPAYGISVAAIYRPNAdsAIESVPD-----SGGVTPVDAPDWVLEREVQYAYSWYN- 20 1aa6 21.3% -CASGciNlaEAAQGKTN-QGTLCLKGYYGWDFInqILTPRL--KTPMIRRQRGGKLeeALNYVAERLSAIKEkgPDAIQTtsSRGTGNETNYvaRVXHGPSVAGLHQSVGN-GAmaINEIDNtlVfyNPAD-SHPIVANHVirNGAKIIvdPRkeTARIADM-HIALKNGSNIALLNAmfVASRTEgiVEGydItvSaiRQAARMYAQAKSAatQFYqrSLtaMLTGNLGKPHAGVNPVRGqmgldTYPGYQ-YVKD----PANREKFAK--AWgrISELPHRAagEVRAAYieDPLQtvRKAFEDLELVisAADVILPSTSW-GEHetAagFQ---- 21 1lvl 22.1% ---------AAIRAGQLGIPTVLVEGQALGGTCLncIPSKALIHVAEQFHQASRFTEPSPLgaSPRliGQSVAWKDGIVDRLTTgkHGVKVvwAKVLDG--KQVEVDGQRIQCEHL-LLATGSSSVE-LPMLPLGGPV----ISSTEALAPKALPQHLVVVGGGYIGLEllaQVSVVEarILPTYDSELTAPVAESLkaLhhSVEGYENGCLLANDGKGGQLRLelVAVGRRPRT--KGFNLelKMNGAAIAIdsMHNVwdVAGEPMLAHRAMAQGEM--VAEIIAgaAIAAVCFTDPEVvtPEQASqcIvaNGRAMSLESKsfVRVVARRdgWQAVGV consensus/100% ...............................................................................................................................................................................................................................................................................................................t................................... consensus/90% ........ht........h.t....t..h...h.t...t.........h...........h...t.h.....t...t.......tt....h.....h......h............t....tt...................h....th......t.thh.t...ht.t..t........h....ttth...h...........t.h.....t....ht......h.............ht.t.t.p........hp..h...t.t.......h.tt.....t...s..hs..h...h.....th.......t.t.h.h...t................ consensus/80% .......hsshttt.hthtp...ht..htt.hhsth.s.t.h.....h.t.tt..h.tsh..htth...h.ptt.p.hhp..sst.s..h...h.h.th.thh.h..tt......t...hssthh.....t..tt.h...hh.t..shhh..ttp.thl.t.tthththhp....hp.hhh...stshhsth....p....shthhs.tstt..t.htt..th.h..th...t.ht.thp.phshp.hs.htt.hpphh..tt.th......hhsp.t.hhp...s.thsshht.hht....phtt..h.htstth.h.shs.hh.ht.....t.... consensus/70% .....thsshpts.hpltpshphpthhtsthhsph.stshhhtht.htpstshphttshtthpthh..hspttsphlhphssupts.th.htstl.sh.shhhh.tps.p.tthth..hssphlh.tststsptthtt.hh.tttuhhh..pppsthl.sttthshphhpphshhpthhhs.sstshhsshshhhpth..shplhsstsss.ss.hts.lphthssphtt.tthtpshptphuhpthshhtshhcchhphststh..spt.hhsphphhhp.ttuhshussht.hhpphpsphpth.hhhssuththtshshhhtsths..ht.h.. |
HSSP HOMOLOGY DERIVED SECONDARY STRUCTURE OF PROTEINS , VERSION 1.0 1991 PDBID predict_h14790 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_h14790.phdRdb COMPND SOURCE AUTHOR SEQLENGTH 339 NCHAIN 1 chain(s) in predict_h14790 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 : 1tdj 0.34 0.00 3 339 10 341 322 14 31 495 MOL_ID: 1; 2 : 2tys_B 0.28 0.00 8 331 22 394 312 27 75 397 MOL_ID: 1; 3 : 2kau_C 0.34 0.00 7 337 20 470 309 35 166 566 MOLECULE: KLEBSIELLA AEROGENES UREASE; 4 : 1cii 0.27 0.00 7 339 97 547 326 29 138 602 MOL_ID: 1; 5 : 1req_A 0.33 0.00 10 337 251 683 320 36 129 727 MOL_ID: 1; 6 : 2frv_B 0.29 0.00 1 339 61 421 316 27 74 530 MOL_ID: 1; 7 : 1aor_A 0.30 0.00 8 336 7 441 322 34 140 605 ALDEHYDE FERREDOXIN OXIDOREDUCTASE PROTEI 8 : 1rom 0.28 0.00 8 334 36 399 304 28 83 399 MOL_ID: 1; 9 : 1psd_A 0.30 0.00 3 338 24 399 305 33 102 404 D-3-PHOSPHOGLYCERATE DEHYDROGENASE (PHOSP 10 : 1trk_A 0.32 0.00 8 338 1 399 310 31 112 678 TRANSKETOLASE (E.C.2.2.1.1) 11 : 1kit 0.31 0.00 7 339 306 693 310 34 121 757 MOL_ID: 1; 12 : 1yge 0.27 0.00 3 339 79 520 330 31 135 839 MOL_ID: 1; 13 : 1bhe 0.29 0.00 3 339 12 374 310 31 84 376 MOL_ID: 1; 14 : 1uae 0.31 0.00 3 337 24 388 304 29 96 418 MOL_ID: 1; 15 : 1mro_B 0.27 0.00 8 335 25 439 318 32 107 442 MOL_ID: 1; 16 : 1dik 0.31 0.00 2 338 46 468 318 34 150 870 MOL_ID: 1; 17 : 3pmg_A 0.28 0.00 1 339 158 515 298 33 109 561 MOL_ID: 1; 18 : 1fcd_A 0.26 0.00 3 338 18 393 323 26 94 401 FLAVOCYTOCHROME C SULFIDE DEHYDROGENASE ( 19 : 1aa6 0.30 0.00 2 335 11 463 323 40 147 698 MOL_ID: 1; 20 : 1lvl 0.28 0.00 10 339 20 408 318 26 83 458 DIHYDROLIPOAMIDE DEHYDROGENASE (E.C.1.8.1 ## 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 3 26 V I 2 2 C 0 0 86 5 0 C CC C 3 3 A 0 0 51 10 26 A . A SPA TPAA 4 4 Q 0 0 97 11 41 E T G ASA EDKS 5 5 Y 0 0 0 11 36 Y Y Y FSL YLYG 6 6 C 0 0 66 9 51 . V t NCP YK.c 7 7 I 0 0 0 13 31 . VL H i IITI NVIi 8 8 S 0 0 0 18 50 .ARR ARSEQFHTLASDKN 9 9 F 0 0 0 19 21 LLLA LfLFFYFlFLGLLl 10 10 A H 0 0 38 21 37 RNAGAAvAhTSeaASKGAaA 11 11 D H 0 0 58 21 42 AQDNDSNWdDVgDaPQVDEA 12 12 V H 0 0 0 21 39 VLTAIVLLDIYISlLILPAI 13 13 E H 0 0 69 21 45 LEEDERSVEDDPSARTGSAR 14 14 K H 0 0 100 20 46 RE.AMATTqkVGTENQKIQA 15 15 A H 0 0 0 20 36 AALAAVGKasAAAEP.QEGG 16 16 H H 0 0 66 20 53 PFWDYdDHhTSFTPA.QVKQ 17 17 I H 0 0 82 19 37 VVII.vIKiIGYSVi.FTTL 18 18 N H 0 0 56 20 46 YRETTKKDGRN.TEsEDLNG 19 19 I H 0 0 0 19 28 .AVRLIVvLiWIIIIILI.I 20 20 Q H 0 0 71 20 36 .QEQAPEaRaQKQQVQEEQP 21 21 D H 0 0 79 21 37 EKDEDEETSNANKNQDNPGT 22 22 S H 0 0 0 19 50 ADDFGN.SRSPYAVGQ.NTV 23 23 I H 0 0 0 18 45 APLRVA.ETGIMLPII..LL 24 24 H 0 0 66 19 49 QEtLDT.KHhDQNKKfK.CV 25 25 L 0 0 80 20 35 VFlLYLYLLmVVNLRiF.LE 26 26 T 0 0 0 21 44 TQAQIMDSTAtECKttKTKG 27 27 P 0 0 0 21 44 PAaARREKepqFDDapPDGQ 28 28 V 0 0 0 20 45 lQvEANEVvvVFQVVL.YYA 29 29 L 0 0 59 21 42 lFLLGLLRiLKLGDNLFYYL 30 30 T 0 0 69 20 44 S.TRETAttWEKKTLVTTGG 31 31 S 0 0 0 20 41 SANES.KsNSRSAsEsVCWG 32 32 S H 0 0 63 20 52 RDaYV.KAQQSLVkGtEYDT 33 33 I H 0 0 82 21 43 LLiGGMWSvmFTRLIIILFC 34 34 L H 0 0 0 20 36 DLVfLGLGli.LLLELVSIL 35 35 N H 0 0 0 20 32 NKDtnAGKDN.ESSNNDNnn 36 36 Q H 0 0 97 20 44 VNhEqQSQArQA.qALSEqc 37 37 I 0 0 60 18 33 IYiIFY.AAsII.iL.VVII 38 38 A 0 0 0 19 43 .AVAAMRaANASADK.EILP 39 39 G 0 0 41 20 35 .GKGPHGaKGGNGATGaGTS 40 40 R 0 0 0 19 49 .rAYRDLKRH.qsrALrGPK 41 41 N E 0 0 56 19 44 .tDdLHAPGA.tsnKNNDRA 42 42 L E 0 0 0 17 29 .AIlSlITiV.IVVv.I.LL 43 43 F E 0 0 0 19 45 LLGRFfYFvAWRFFgDf..I 44 44 F E 0 0 0 17 40 VTVLfY.VFLGFL.PVl..H 45 45 K E 0 0 73 18 47 KKkHgH.DNLGVS.AAK.KV 46 46 C E 0 0 48 16 47 RCgTM..M.YSCGCCV..TA 47 47 E 0 0 95 18 37 EqReN..dASENPAKEE.PE 48 48 L 0 0 80 19 40 DlIlF.LmPMLSLPIGL.MQ 49 49 F 0 0 70 20 30 RYFFFLLHFLYWSYMfL.IF 50 50 Q 0 0 71 21 49 QLaAMHLQSHRvLdGkSRRH 51 51 K 0 0 73 21 40 PKkDEAKRNLRnPkRKGKRQ 52 52 T 0 0 0 21 46 VRAAVLEsTTNTSTETPLQA 53 53 G 0 0 21 20 46 HEGDADMpRgTKg.LGNERS 54 54 S 0 0 0 19 42 SDNS.WDTsdSLs.DNRSGR 55 55 F 0 0 0 19 35 FLPL.VPFlLlYL.LPLIGF 56 56 K E 0 0 73 18 41 KLDRKNT.VSkKL.D.KKKT 57 57 I E 0 0 0 18 29 LHIiLVVTIII.iMI.I.LE 58 58 R 0 0 0 18 42 RGqkRA.PG.r.kRVRRHeP 59 59 G H 0 0 0 19 33 GGgDANDEEEg.gAGF.geS 60 60 A H 0 0 0 19 30 AaaAAAPALDA.tSNA.gAP 61 61 L H 0 0 0 20 39 YtvQRLLVLLA.LIAYILLL 62 62 N H 0 0 0 20 46 ANINMNSKLKN.RWEDDRNg 63 63 A H 0 0 0 21 42 MQAALaPNLQQSAASSAAYa 64 64 I H 0 0 0 20 44 MVADWaELLFIVVLiYM.VS 65 65 R H 0 0 121 21 44 ALEKANNQRRQRNGkRHHAP 66 66 G H 0 0 41 20 42 GgGKKDKPGQ.INPERGgER 67 67 L 0 0 0 19 32 LlKALLLYVl.F.LMFVvRl 68 68 I 0 0 42 17 29 .LIAVSiI.t.F.VIIvVLi 69 69 P 0 0 87 18 41 .AvDHppQ.P.AAAQQeHSG 70 70 D 0 0 79 17 48 ..dMQtLR.G.NKRVMEDAQ 71 71 T 0 0 51 20 47 TKtLFTTT.HVhSFTYLSIS 72 72 P H 0 0 66 21 44 ERpAGTGVPPApFGESGAKV 73 73 E H 0 0 95 21 34 EMQePeTDEeDSEQDDAtEA 74 74 E H 0 0 95 20 41 QGQeKaSDAeGENGd.PdkW 75 75 K 0 0 73 20 46 KKARNKALNLSTAQg.APgK 76 76 P 0 0 66 20 44 ASERPVPLAPRPPVK.NDPD 77 77 K 0 0 100 20 40 HEEKkKtEKGKASSR.SKDG 78 78 A 0 0 0 20 45 GIAGsAnQAVYPsLA.AKAI 79 79 V E 0 0 0 20 29 VILILLVM.EVLgPLVvLIV 80 80 V E 0 0 0 20 35 IAvlRVVK.VVVVGVVlVQD 81 81 T E 0 0 0 20 41 TEttT.TQHTTSVGQMEKTR 82 82 H E 0 0 0 19 52 ATMRH.KKR.LYDCVEDTtL 83 83 S E 0 0 0 20 46 SGVLSEsGG.SrKTPVFAsT 84 84 S 0 0 0 21 44 AAGsQStCVTIrNISPGGST 85 85 G 0 0 0 21 32 GGGkTGgAWGDGGGAKGgRg 86 86 N H 0 0 0 20 39 NQGNSQnNNPEn.ARSHaGk 87 87 H H 0 0 0 19 50 HHTG.LSGKLSt.RFHHPTH 88 88 G H 0 0 0 20 29 AGGGGGGPLGGG.PDFPGGG 89 89 Q H 0 0 0 19 48 QVPAW.GVAQGE.VVEDINV 90 90 A H 0 0 0 20 46 GAAASIYDAGLR.DAKpEEK 91 91 L H 0 0 0 20 39 VSaLLFFLGIVK.LAIlLTV 92 92 T H 0 0 0 18 44 AAt.tTGVSS.E.HEITINv 93 93 Y H 0 0 0 18 42 fLH.yNAKFN.Y.IyDYyYw 94 94 A H 0 0 0 16 24 sAA.aAEEEa....aAAavA 95 95 A H 0 0 0 20 38 ASTAaYLFaaAD.SAMAAaK 96 96 K H 0 0 100 20 48 RATVhFKAkNNR.GPKDKRV 97 97 L H 0 0 59 20 24 LLCLTLFLLLLI.LLELLVL 98 98 E 0 0 0 17 48 .LTDNGAP.ANYKEVe.PXD 99 99 G 0 0 0 18 29 GGPASGG.GAGDGQTg..HG 100 100 I 0 0 0 18 47 VLGQLHYVItVYCLAV..G. 101 101 P 0 0 48 18 42 KKPQDPDPIpSDDGT..HP. 102 102 A E 0 0 0 19 36 ACWAEAASGGAVAAA..ASK 103 103 Y E 0 0 0 19 46 LRYRAY.YYFPYFTfH.WVQ 104 104 I E 0 0 0 20 33 IIILIVIIGTINIIiF.KAV 105 105 V E 0 0 0 20 47 VySLALViHlID.KiDVAGE 106 106 V E 0 0 0 19 36 MvRGLPVvIiLL.LvT.GLV 107 107 P 0 0 0 19 41 PEMQpAEpGSQG.ESD.EHD 108 108 Q 0 0 97 19 48 TRLQreGl.SSN.eMLEQQG 109 109 T 0 0 69 20 43 AQQTItKT.EEPTkYTTTSQ 110 110 A 0 0 16 19 37 TSA.AAAQ.AHDAADAMAVR 111 111 P H 0 0 0 19 48 APARRHEQ.SAKVSAD.IGI 112 112 N H 0 0 76 19 42 DNDNNYkN.sKSSVND.LNQ 113 113 C H 0 0 0 15 52 I.SDTLi..hV.TDML.R.C 114 114 K H 0 0 73 18 47 K.LRQEK.TLHETGVK.KGE 115 115 K H 0 0 0 19 46 VVP.LAD.QKSKNRKEKQAH 116 116 L H 0 0 80 19 36 DFV.FLE.LLfLSLALSLmL 117 117 A H 0 0 0 20 40 ARNALRHAGgeAGKAAGEa. 118 118 I H 0 0 0 19 33 VMIIQVIIIiLRI.V.EDIL 119 119 Q H 0 0 71 19 48 RRGSQqERLAQP..LEHMNL 120 120 A H 0 0 51 18 44 GLLEEaITaI.V..gKDAEA 121 121 Y H 0 0 55 20 47 FMLASARNlYYLY.yFFDIT 122 122 G 0 0 0 21 28 GGGRGRDGGDSGGGPKGGDG 123 123 A 0 0 0 21 37 GAKNTAASMDaGPAQAAGNS 124 124 S 0 0 63 20 44 EEGKTMSSYNtSGHS.ATtS 125 125 I E 0 0 0 20 47 VvNLRAHTVKTSTIV.FVlS 126 126 V E 0 0 0 20 32 LvVSVIIAYILTIVEV.VVV 127 127 Y E 0 0 0 18 43 LhSSIFWRFTFF..YY.IfE 128 128 C E 0 0 0 13 52 Hc.V..G.YIVP..MK.Ay. 129 129 D E 0 0 0 18 41 GNQTD.KEDDDYD.GE.PNL 130 130 P 0 0 48 19 37 AePEP.KAIGgpG.AaDPPP 131 131 S 0 0 63 19 48 nr.sW.VSEAstQMNgGAAM 132 132 D 0 0 40 20 38 dDDnS.SANTQDGDIEDADL 133 133 E H 0 0 95 20 43 EWATGGEAkSEPGKAEGP.P 134 134 S H 0 0 63 21 48 ASLAsATNnInNVVTFDFSL 135 135 R H 0 0 0 21 45 KGRRvKEQAsrTkSMPRrHG 136 136 E H 0 0 95 21 43 ASENENAeTeLEkVLQNePG 137 137 K H 0 0 100 20 49 KYQAEPTlQDHKKGDE.RIP 138 138 V H 0 0 69 20 36 AEVLLHIVVVVQVAIP.AVV 139 139 T H 0 0 0 17 40 ITAtTTRE.A.GSTPK.SA. 140 140 Q H 0 0 97 19 42 EAAqWQKQQKQEWVQD.qN. 141 141 R H 0 0 121 17 48 .HGQD.ERHRKVWTKQ.yH. 142 142 I H 0 0 0 18 31 .YVLl.VLlYIFEILLMYV. 143 143 M H 0 0 92 19 31 LMITiFGVm.VYLm.MILiI 144 144 Q H 0 0 97 18 49 SL.QQTSES.LVAa.GLKrS 145 145 E H 0 0 95 20 39 QG.qEVEPDETPAAEAGaNS 146 146 T 0 0 69 20 46 Qt.pVVKKVAQRDtGVKsGT 147 147 E 0 0 95 20 44 Qa.DeGVDVYQDAePKHKAE 148 148 G 0 0 21 21 30 gGGggGKDSGGEKggAGVKA 149 149 I E 0 0 82 21 41 tPLtICiiLWhNViiVFIIL 150 150 L E 0 0 0 21 48 WHKIPTslHElLKIMFFIIA 151 151 V E 0 0 0 21 42 VPIVKNICVvvGKEVRVLvP 152 152 H E 0 0 0 21 50 PYHSMYGTPnlHLNnSNDdK 153 153 P 0 0 0 21 45 PPEPRDPEEGALKAkWPSPA 154 154 N 0 0 0 21 48 FtdEISAQNNQKQAnDSSRL 155 155 Q 0 0 160 21 45 DraKELGVPEQSNRqNDQkP 156 156 E 0 0 48 21 44 HETFEReKSDTKTEAPSTeQ 157 157 P 0 0 0 21 44 PFPPAPaPTLPDPpARVfTH 158 158 A 0 0 0 21 35 MQAgAEAGKAEARaAAAeAL 159 159 V E 0 0 0 21 46 VRAvaRINNGvLLKliVRRV 160 160 I E 0 0 0 21 19 IMIViImIMIlEIIiiILIV 161 161 A 0 0 0 21 45 AIDSsAaDMAEIQSLPAYAV 162 162 G 0 0 0 20 31 GGCGgEGKG.KGIGEGAGDG 163 163 Q 0 0 0 20 49 QEAdqFRSA.LTNQQdNFMG 164 164 G 0 0 0 19 39 GELgPRgDKKGKKGTg.G.G 165 165 T H 0 0 0 21 45 TTTTLKaAEAWSStATITHY 166 166 I H 0 0 0 19 29 LKVIILIVIITlKim.F.II 167 167 A H 0 0 0 21 38 AAAKGYAQSAKaNVaASEAG 168 168 L H 0 0 0 20 37 L.DiVKVILQIFFIFVINLL 169 169 E H 0 0 69 21 37 EQEanEEAMAKETEENPAKE 170 170 V H 0 0 0 20 50 LImVrvGFKKTsLGR.YMNl 171 171 L H 0 0 0 20 36 LLlILiSLPLGlYVM.FIGl 172 172 N H 0 0 76 19 37 QdNDEEK.GsNKNEH.QESa 173 173 Q H 0 0 97 18 45 QeENHQT.SdTS.RL.QWNQ 174 174 V H 0 0 0 19 47 DGSREVV.LKMTVLL.THIV 175 175 P 0 0 66 18 38 ARGAPYP..PSPSGG.GPAS 176 176 L 0 0 80 18 42 HLFNPII.LTLiLGl..GLV 177 177 V 0 0 0 20 38 LPVLLTA.ILyvIGaVVPLV 178 178 D 0 0 58 20 33 DDENDDd.NInHNVDQRDNE 179 179 A E 0 0 0 19 48 RADY.Lm.AKADsYNTGSAa 180 180 L E 0 0 0 19 39 VVTL.LLL.MSLhRLMFAmr 181 181 V E 0 0 0 20 31 FILLVAVL.TVYVVVVAVfI 182 182 V E 0 0 0 19 40 VAASLVvV.TN.VLFFRVVL 183 183 P E 0 0 0 19 44 PCAHKApA.TP.FpDGSKAP 184 184 V 0 0 0 18 41 VVISV.V..IGESilNMVST 185 185 G 0 0 0 19 37 GGggD.AG.GPGDEgKPDRY 186 186 G 0 0 0 20 36 GGgrN.GNSYGGGTKGTGTD 187 187 G H 0 0 0 20 37 GgGNS.GARGHIDGEESGES 188 188 G H 0 0 0 21 30 GgGITGGTGSGKGTGTGEgE 189 189 M H 0 0 0 21 35 LMHLVFLMTLiLFFTSAMiL 190 190 V H 0 0 0 21 46 AFANLyPVVHiPTLvGLMVT 191 191 A H 0 0 0 21 41 AAPDAakNVASRAVsTDVEA 192 192 G H 0 0 0 20 37 GDDReGgMDGgD.AVGREGP 193 193 I H 0 0 0 20 39 VFINkITIi.iVWAIVVTyV 194 194 A H 0 0 0 18 23 A..PaGAAa.aIKAaAAAdA 195 195 I H 0 0 0 18 36 V.IVvKVLL.ISTIlF.fIE 196 196 T H 0 0 0 18 41 L.TVKTLGA.VTTSVt.etS 197 197 I H 0 0 0 18 37 IIATLSVVS.LII.Ei.FvL 198 198 K H 0 0 100 19 41 KNCERNNAK.DIk.RNNKSk 199 199 A H 0 0 51 18 40 Q.ADAFITH.RPg.AAAaaa 200 200 L H 0 0 0 17 29 L..VELILl.FLI.LQTliL 201 201 K 0 0 51 17 49 MDHER.NAg.F.D.EGKIRh 202 202 P 0 0 66 17 41 PTPGD.EQA.LPp.DE.pQh 203 203 S 0 0 63 20 43 QSNDPTnHASNVsRGD.aAS 204 204 V 0 0 0 21 41 IVIKECvPIHvISGvvIGAV 205 205 K E 0 0 73 21 38 KGLKKGkDDSskKKkgAKRE 206 206 V E 0 0 0 20 32 VL.IVEvQVVIlNIVVLiMG 207 207 Y E 0 0 0 20 36 II.YKFyLFHYYIiYRYiYY 208 208 A E 0 0 0 20 37 AG.NAPaaPGSRTnGTEAAE 209 209 A E 0 0 0 19 43 VV.AaTYaTADTIATP.GQN 210 210 E 0 0 48 19 34 EE.EaDENE.dDAQDQTLAG 211 211 P 0 0 0 21 41 APPVAEQPPPgGYPDpPTKC 212 212 S 0 0 63 21 46 EGSAGYSSALSQSDLntNSL 213 213 N 0 0 0 21 42 DgSENDGLTKNhnTADnDAL 214 214 A H 0 0 0 20 47 SeTWPLeANA.qgLMMLAaA 215 215 D H 0 0 0 19 45 .TNDdNkPSD.PDDWPMGtN 216 216 D H 0 0 0 20 40 AGPKdSPqDD.HDANDDWQD 217 217 C H 0 0 0 18 50 CETLPRCcPV.VN.AC.cFG 218 218 Y H 0 0 79 20 44 LHLRDyYyFKWVVVYY.fYK 219 219 Q H 0 0 0 21 41 KGPQRqaHTQQQALAKAEqG 220 220 S H 0 0 0 21 48 AAYRNGnTSLTVIAAqSSrG 221 221 K H 0 0 0 19 47 APTLLVRAPK.SkK.dKSSQ 222 222 L H 0 0 80 19 28 LLLlLILSlS.QyL.LLILL 223 223 K 0 0 100 20 44 DkNrkWpAnK.SKRAAsHtR 224 224 G 0 0 68 19 41 Ag.NgGgLVFGAG.GMgKaL 225 225 E 0 0 95 20 49 GMTNENeALGSWR.LKeGMe 226 226 L 0 0 59 20 39 HKILMDlILFTMa.MLgILl 227 227 T 0 0 0 19 44 PADSSLGKTNLTt.AET.TV 228 228 P E 0 0 0 19 41 VPEADSARPpPDR.AKG.GA 229 229 N 0 0 76 19 46 DMHRAKNTHs.En.THSHNV 230 230 L 0 0 0 19 38 LMlTlVlAIF.El.mFDVLG 231 231 H 0 0 90 20 49 PQhNyDnKGV.FHDqRHIGR 232 232 P 0 0 66 19 46 RTLETdDEGV.A.AGDIGKR 233 233 P 0 0 0 19 45 VADQApLDSP.R.GAMRDPP 234 234 E 0 0 69 20 42 GdPKqDAVTQ.ENAAqEAHR 235 235 T 0 0 0 19 48 LqDHtLSMQE.MDDRt.SAT 236 236 I E 0 0 0 19 29 FIIAIIiIEVIIFIAI.IG. 237 237 A E 0 0 0 20 39 AEANSEaGAYPAGEAEKAV. 238 238 D 0 0 79 18 37 EEED.END.DF.TVQEDNNK 239 239 G 0 0 0 20 37 GSDAGHHk.HRGGGGgGPPG 240 240 V 0 0 0 19 33 VYvlVVMv.YWVH.VlLmVF 241 241 K 0 0 0 21 47 aSekYKCRQQKNGESQWkRN 242 242 S E 0 0 0 21 47 kISESYDAEKSPMDSTASGL 243 243 S 0 0 46 21 46 RSRNKSENNTSCSWTRVGqe 244 244 I 0 0 0 21 41 IAIIEwLEIiSvIIlNLYml 245 245 G 0 0 0 21 33 GGRRVgGGGgIgGSdGaSgK 246 246 L H 0 0 80 21 42 DLRNKALiLvLLSLLKlAlM 247 247 N H 0 0 56 21 34 EDEQNGDsEnEEEDIRSNdN 248 248 T H 0 0 0 20 40 T.TLTATNVKTETMETISTG 249 249 W H 0 0 0 21 49 FFISPHIQAWlFMHFALQYA 250 250 P H 0 0 48 21 38 RPAGEHSSGNppGGEpAGPA 251 251 I H 0 0 0 19 45 LS.IvPTAKKSiV.TiTKGI 252 252 I H 0 0 0 21 52 CvANaYGNLLETYKGARVYA 253 253 R H 0 0 89 21 51 QhEQRKGRIFAANRLCKAQI 254 254 D H 0 0 79 20 38 EADKEGTDKSDDVPPDQA.d 255 255 L H 0 0 0 20 50 YYVILVL.YEMSTKSLSAYs 256 256 V 0 0 0 20 36 LLLAVTA.SYVLVAVVVAVM 257 257 D 0 0 79 21 35 DnHeEKtEDQedDVDDEVKH 258 258 D 0 0 79 20 26 DdDdEPeENKddDN.EDVDN 259 259 V E 0 0 0 18 44 IYlE.KLVGKLGlV.GiV.V 260 260 F E 0 0 0 20 30 IVfLFWyFSFLYmRfMfL.w 261 261 T E 0 0 0 19 43 TSSKEThETP.TNTkItL.d 262 262 V E 0 0 0 19 46 VILAQEI.LELMGAVTyK.V 263 263 T 0 0 0 21 44 DTTTAFKNSLTDTPEEEGPA 264 264 E 0 0 95 21 38 SDsKeHDPAGAeTHGEEEAG 265 265 D H 0 0 79 20 39 DDgDpGEDVA.hNPTeVENE 266 266 E H 0 0 69 21 37 AEEAREEENERDGAAeEPRP 267 267 I H 0 0 0 20 38 IAVIIDLfFLLilFVAA.EM 268 268 K H 0 0 0 19 51 CLINLRGkP.DtkPGKE.KL 269 269 Y H 0 0 0 19 50 AELFLYDWE.FYSTFSG.FA 270 270 A H 0 0 0 19 36 AARTA.APVA.AADsLAGAH 271 271 T H 0 0 0 21 46 MFTTkSPPSRNTAMsDTTKR 272 272 Q H 0 0 97 20 45 KKWEqWPqLRQRGQHQKP.A 273 273 L H 0 0 80 20 48 DTQFDMFfPLITVASLMS.M 274 274 V H 0 0 0 20 44 LLVlGKRGL.VIVQILMYAA 275 275 W H 0 0 0 21 50 FCAyHAWFHSNlNFYHKLWQ 276 276 G H 0 0 41 21 30 ERHgDPGGGGgggTgPDNgG 277 277 R H 0 0 121 21 46 DHRkrRNDGQrTrLgTLTrE 278 278 M 0 0 0 21 50 VEMAqYTHRLQLmLNFECIM 279 279 K 0 0 73 20 43 RGKEKKERRPQkkNHnAYS. 280 280 L E 0 0 0 19 41 AIvQV.VCLAFliLIlLSE. 281 281 L E 0 0 0 20 33 VItLI.lImNLSVVVPMILV 282 282 I E 0 0 0 20 44 APIAAGiAiW.LiATAFLPA 283 283 E E 0 0 69 21 36 EANRTEEEeeSPeERSDAHE 284 284 P 0 0 0 21 46 PLpEAAKHNpKHKGHpRPRI 285 285 T 0 0 0 21 49 SEtMYFILRTDSKTStsAAI 286 286 A H 0 0 0 20 41 GSHAAEaAPYGAE.KAvYaA 287 287 G H 0 0 0 21 23 ASGgDVgKGTGGGGgDGGgg 288 288 V H 0 0 0 20 47 LHIaLGDAvAI.SFvEKIEa 289 289 A H 0 0 0 21 39 AAaAGPKEaKtDNIAAQSVA 290 290 L H 0 0 0 21 35 LLlIFLLLLDlLVTAKFVRI 291 291 A H 0 0 0 21 29 AAaADAATNSESPEAASAAA 292 292 A H 0 0 0 21 37 GHvAVSeTKAAADTMaaAAA 293 293 V H 0 0 0 20 42 .AVADVrVIVNAWVAvvIYV 294 294 L H 0 0 59 21 39 MLWlVLLFfANVSFLIYYiC 295 295 S H 0 0 63 20 47 K.SsGVASaTASDEDLtReF 296 296 Q H 0 0 97 20 46 K.PVPAETQRNQINAVePDT 297 297 H H 0 0 90 21 55 YKAKLYSLYKVVTRGRYNPD 298 298 F 0 0 96 21 38 IMFLFAYYLlFVFFTLHALP 299 299 Q 0 0 97 21 45 AMFSQKGQQeSLKMQEDdQE 300 300 T 0 0 69 21 47 LRGDTKHKTTNPDHMTPstV 301 301 V 0 0 69 18 40 HEVIPH.F.VIAVVF.VAvv 302 302 S 0 0 63 18 45 NQKSEE..SLSKT.SSDIRt 303 303 P 0 0 66 21 36 IPPSEPPPAETESPPPGEKP 304 304 E 0 0 95 21 35 REANTTEDQDGGEEEeSSAE 305 305 V 0 0 69 20 40 GK.LAVLLMVTVTlAivVFQ 306 306 K 0 0 100 20 45 EE.NrKSKGYVEKsTEkPEA 307 307 N E 0 0 56 18 42 RQ.RdA..YNDSGNSGnDDS 308 308 V E 0 0 0 17 39 LL..VV.VVQATVTGMl.Lq 309 309 C E 0 0 0 16 52 AL..HD.AVLSI.VLhR.Ec 310 310 I E 0 0 0 18 34 HVT.VL.ViPIWViilL.LI 311 311 V E 0 0 0 18 27 IvV.vV.PiEtLVvvTI.Vv 312 312 L E 0 0 0 20 27 LlIFlLMLELqLLlFVF.ia 313 313 S 0 0 0 20 37 SSKSAKT.AISANSSRASsN 314 314 G 0 0 0 19 29 GgGRGTV.DGDKGG.GDGAG 315 315 G 0 0 0 20 31 AgGgGLKGEGGAEA.GGGAR 316 316 N 0 0 0 20 47 NDMaHGKKDSSYnQQ.SVDA 317 317 V 0 0 0 20 37 VKIGLVLIVAHvivV.RTVM 318 318 D H 0 0 58 20 45 NDAKTGENADFqEdd.IPIS 319 319 L H 0 0 0 21 32 FIIFlPLYELLLVLrMIVLL 320 320 T H 0 0 0 21 49 HFATkEPTKTLMTRETFDPE 321 321 S H 0 0 46 21 41 GTPSEAAPAPFsMAPSRASS 322 322 L H 0 0 0 21 42 LVMlLlYLLSTlKSLHLPTK 323 323 N H 0 0 56 20 37 RHGdDsDN.NNNNAKASDSs 324 324 W H 0 0 81 20 55 YDDWKTPr.LPTVSYAGWWf 325 325 V H 0 0 0 19 38 VIIiLLRv.TQHKLVVTV.V 326 326 G H 0 0 30 18 42 SL.gGGGG.RGALVV.GLGR 327 327 Q H 0 0 97 19 49 eKNK.rAIQWNATLE.SEEV 328 328 A H 0 0 51 20 40 gAAA.aEVAKPMSAAVARHV 329 329 E H 0 0 0 19 38 ERSV.AGDMEAEDG.AGEeA 330 330 R H 0 0 121 17 49 QGIRRrHLK.G.SC.R.VtR 331 331 P 0 0 66 20 41 REPTPtGPAATpTIAG.QAR 332 332 A 0 0 51 19 49 E TEDALVILNaWAAM.Yad 333 333 P 0 0 66 19 41 A PNIAGIPDGTQEEG.Agg 334 334 Y 0 0 108 16 42 L .WL.YF.FRHIGIT.YFW 335 335 Q 0 0 71 19 46 L QRIQA GQQRKTKCASQQ 336 336 T 0 0 69 17 45 A PPTET TPNHNT CTW A 337 337 V E 0 0 0 16 23 V VLVV IPLLVV VIY V 338 338 S 0 0 0 13 45 T F E RSGSN SRN G 339 339 V 0 0 0 9 13 I V V LVV L V ## 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 33 0 33 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 1.099 100 1.27 2 2 0 0 0 0 0 0 0 0 0 0 0 0 100 0 0 0 0 0 0 0 5 0 0 0.000 0 1.78 3 3 0 0 0 0 0 0 0 0 60 20 10 10 0 0 0 0 0 0 0 0 10 1 0 1.089 47 1.28 4 4 0 0 0 0 0 0 0 9 18 0 18 9 0 0 0 9 9 18 0 9 11 0 0 2.020 84 1.00 5 5 0 18 0 0 9 0 55 9 0 0 9 0 0 0 0 0 0 0 0 0 11 0 0 1.295 54 1.09 6 6 11 0 0 0 0 0 11 0 0 11 0 11 33 0 0 11 0 0 11 0 9 2 2 1.831 83 0.81 7 7 15 8 54 0 0 0 0 0 0 0 0 8 0 8 0 0 0 0 8 0 13 1 0 1.411 55 1.18 8 8 0 6 0 0 6 0 0 0 17 0 17 6 0 6 17 6 6 6 6 6 18 1 0 2.341 81 0.82 9 9 0 53 0 0 32 0 5 5 5 0 0 0 0 0 0 0 0 0 0 0 19 0 3 1.167 40 1.38 10 10 5 0 0 0 0 0 0 10 48 0 10 5 0 5 5 5 0 5 5 0 21 0 2 1.816 61 1.07 11 11 10 0 0 0 0 5 0 5 14 5 5 0 0 0 0 0 10 5 10 33 21 0 1 2.041 68 0.97 12 12 14 29 24 0 0 0 5 0 10 5 5 5 0 0 0 0 0 0 0 5 21 0 0 1.926 64 1.02 13 13 5 5 0 0 0 0 0 5 10 5 14 5 0 0 14 0 0 24 0 14 21 0 0 2.124 71 0.92 14 14 5 0 5 5 0 0 0 5 15 0 0 15 0 0 5 15 15 10 5 0 20 1 2 2.267 76 0.90 15 15 5 5 0 0 0 0 0 15 45 5 5 0 0 0 0 5 5 10 0 0 20 1 0 1.773 59 1.09 16 16 5 0 0 0 10 5 5 0 5 10 5 10 0 15 0 5 10 0 0 15 20 1 2 2.389 80 0.79 17 17 21 5 37 0 5 0 5 5 0 0 5 11 0 0 0 5 0 0 0 0 19 2 1 1.863 63 1.07 18 18 0 5 0 0 0 0 5 10 0 0 5 15 0 0 10 10 0 15 15 10 20 1 0 2.224 74 0.89 19 19 16 16 53 0 0 5 0 0 5 0 0 0 0 0 5 0 0 0 0 0 19 2 2 1.386 47 1.25 20 20 5 0 0 0 0 0 0 0 15 10 0 0 0 0 5 5 40 20 0 0 20 1 0 1.653 55 1.09 21 21 0 0 0 0 0 0 0 5 5 5 5 10 0 0 0 10 5 19 19 19 21 0 0 2.120 71 1.07 22 22 11 0 0 0 5 0 5 11 11 5 16 5 0 0 5 0 5 0 11 11 19 2 0 2.406 82 0.82 23 23 6 22 22 6 0 0 0 6 11 11 0 6 0 0 6 0 0 6 0 0 18 3 0 2.120 73 0.91 24 24 5 5 0 0 5 0 0 0 0 0 0 11 5 16 0 21 11 5 5 11 19 2 3 2.260 77 0.83 25 25 15 40 5 5 10 0 10 0 0 0 0 0 0 0 5 0 0 5 5 0 20 1 0 1.861 62 1.10 26 26 0 0 5 5 0 0 0 5 10 0 5 33 5 0 0 14 10 5 0 5 21 0 3 2.107 70 0.94 27 27 0 0 0 0 5 0 0 5 19 24 0 0 0 0 10 5 10 10 0 14 21 0 3 2.042 68 0.94 28 28 40 10 0 0 5 0 10 0 10 0 0 0 0 0 0 0 10 10 5 0 20 1 1 1.817 61 0.92 29 29 0 48 5 0 10 0 10 10 0 0 0 0 0 0 5 5 0 0 5 5 21 0 1 1.750 58 0.97 30 30 5 5 0 0 0 5 0 10 5 0 5 40 0 0 5 10 0 10 0 0 20 1 1 1.956 65 0.94 31 31 5 0 0 0 0 5 0 5 10 0 40 0 5 0 5 5 0 10 10 0 20 1 2 1.956 65 0.99 32 32 10 5 0 0 0 0 10 5 10 0 10 10 0 0 5 10 10 5 0 10 20 1 1 2.441 81 0.79 33 33 5 19 24 10 10 5 0 10 0 0 5 5 5 0 5 0 0 0 0 0 21 0 2 2.199 73 0.94 34 34 10 50 10 0 5 0 0 10 0 0 5 0 0 0 0 0 0 5 0 5 20 1 1 1.636 55 1.08 35 35 0 0 0 0 0 0 0 5 5 0 10 5 0 0 0 10 0 5 45 15 20 1 3 1.704 57 1.16 36 36 5 5 0 0 0 0 0 0 15 0 10 0 5 5 5 0 35 10 5 0 20 1 3 2.011 67 0.93 37 37 11 6 50 0 6 0 11 0 11 0 6 0 0 0 0 0 0 0 0 0 18 3 0 1.561 54 1.15 38 38 5 5 5 5 0 0 0 0 42 5 5 0 0 0 5 5 0 5 5 5 19 2 1 2.069 70 0.95 39 39 0 0 0 0 0 0 0 45 15 5 5 10 0 5 0 10 0 0 5 0 20 1 1 1.704 57 1.11 40 40 0 11 0 0 0 0 5 5 11 5 5 0 0 5 32 11 5 0 0 5 19 2 4 2.160 73 0.84 41 41 0 5 0 0 0 0 0 5 16 5 5 11 0 5 5 5 0 0 21 16 19 2 1 2.233 76 0.93 42 42 24 29 29 0 0 0 0 0 6 0 6 6 0 0 0 0 0 0 0 0 17 4 3 1.560 55 1.22 43 43 5 11 5 0 37 5 5 11 5 0 0 0 0 0 11 0 0 0 0 5 19 2 1 2.009 68 0.91 44 44 24 24 0 0 24 0 6 6 0 6 0 6 0 6 0 0 0 0 0 0 17 4 1 1.855 65 1.01 45 45 11 6 0 0 0 0 0 11 11 0 6 0 0 11 0 33 0 0 6 6 18 3 1 1.985 69 0.88 46 46 6 0 0 13 0 0 6 13 6 0 6 13 31 0 6 0 0 0 0 0 16 5 0 2.010 72 0.88 47 47 0 0 0 0 0 0 0 0 11 11 6 0 0 0 6 6 6 39 11 6 18 3 3 1.903 66 1.07 48 48 0 37 11 16 5 0 0 5 0 11 5 0 0 0 0 0 5 0 0 5 19 2 0 1.908 65 1.00 49 49 0 20 5 5 35 5 15 0 0 0 5 0 0 5 5 0 0 0 0 0 20 1 1 1.873 63 1.20 50 50 5 14 0 5 0 0 0 5 10 0 10 0 0 14 14 5 14 0 0 5 21 0 3 2.285 76 0.83 51 51 0 5 0 0 0 0 0 5 5 10 0 0 0 0 19 33 5 5 10 5 21 0 0 2.000 67 1.00 52 52 10 10 0 0 0 0 0 0 14 5 10 29 0 0 5 0 5 10 5 0 21 0 1 2.112 70 0.90 53 53 0 5 0 5 0 0 0 25 5 5 5 5 0 5 10 5 0 10 5 10 20 1 2 2.385 80 0.90 54 54 0 5 0 0 0 5 0 5 0 0 37 5 0 0 11 0 0 0 11 21 19 2 1 1.790 61 0.97 55 55 5 42 5 0 21 0 5 5 0 16 0 0 0 0 0 0 0 0 0 0 19 2 1 1.604 54 1.11 56 56 6 11 0 0 0 0 0 0 0 0 6 11 0 0 6 44 0 0 6 11 18 3 0 1.735 60 0.98 57 57 11 17 50 6 0 0 0 0 0 0 0 6 0 6 0 0 0 6 0 0 18 3 2 1.532 53 1.22 58 58 6 0 0 0 0 0 0 11 6 11 0 0 0 6 39 11 6 6 0 0 18 3 3 1.903 66 0.98 59 59 0 0 0 0 5 0 0 42 11 0 5 0 0 0 0 0 0 21 5 11 19 2 2 1.631 55 1.15 60 60 0 5 0 0 0 0 0 5 58 11 5 5 0 0 0 0 0 0 5 5 19 2 2 1.483 50 1.20 61 61 10 45 10 0 0 0 10 0 10 0 0 5 0 0 5 0 5 0 0 0 20 1 0 1.730 58 1.03 62 62 0 5 5 5 0 5 0 5 5 0 5 0 0 0 10 10 0 5 30 10 20 1 1 2.250 75 0.89 63 63 0 10 0 5 0 0 5 0 43 5 14 0 0 0 0 0 14 0 5 0 21 0 1 1.723 58 0.98 64 64 20 15 15 10 5 5 5 0 10 0 5 0 0 0 0 0 0 5 0 5 20 1 1 2.250 75 0.94 65 65 0 5 0 0 0 0 0 5 14 5 0 0 0 10 24 10 10 5 14 0 21 0 0 2.149 72 0.93 66 66 0 0 5 0 0 0 0 35 0 10 0 0 0 0 10 15 5 10 5 5 20 1 2 1.942 65 0.97 67 67 16 47 0 5 11 0 5 0 5 0 0 0 0 0 5 5 0 0 0 0 19 2 2 1.657 56 1.17 68 68 24 12 41 0 6 0 0 0 6 0 6 6 0 0 0 0 0 0 0 0 17 4 2 1.624 57 1.22 69 69 6 0 0 0 0 0 0 6 22 22 6 0 0 11 0 0 17 6 0 6 18 3 2 2.014 70 1.00 70 70 6 6 0 12 0 0 0 6 6 0 0 6 0 0 12 6 12 6 6 18 17 4 0 2.395 85 0.86 71 71 5 10 5 0 10 0 5 0 0 0 15 35 0 10 0 5 0 0 0 0 20 1 2 1.942 65 0.87 72 72 10 0 0 0 5 0 0 19 14 24 5 5 0 0 5 5 0 10 0 0 21 0 0 2.108 70 0.93 73 73 0 0 0 5 0 0 0 0 10 5 5 10 0 0 0 0 10 38 0 19 21 0 4 1.790 60 1.12 74 74 0 0 0 0 0 5 0 15 10 5 5 0 0 0 0 10 10 20 5 15 20 1 2 2.181 73 0.99 75 75 0 10 0 0 0 0 0 10 20 5 5 5 0 0 5 25 5 0 10 0 20 1 0 2.108 70 0.89 76 76 10 5 0 0 0 0 0 0 10 35 5 0 0 0 10 5 0 5 5 10 20 1 0 2.037 68 0.93 77 77 0 0 0 0 0 0 0 10 5 0 15 5 0 5 5 35 0 15 0 5 20 1 2 1.916 64 1.01 78 78 5 5 10 0 0 0 5 10 35 5 10 0 0 0 0 5 5 0 5 0 20 1 1 2.107 70 0.92 79 79 35 30 15 5 0 0 0 5 0 5 0 0 0 0 0 0 0 5 0 0 20 1 1 1.612 54 1.22 80 80 55 10 5 0 0 0 0 5 5 0 0 0 0 0 5 5 5 0 0 5 20 1 2 1.608 54 1.11 81 81 5 0 0 5 0 0 0 5 0 0 5 45 0 5 5 5 10 10 0 0 20 1 0 1.868 62 0.99 82 82 5 11 0 5 0 0 5 0 5 0 0 16 5 11 11 11 0 5 0 11 19 2 1 2.406 82 0.79 83 83 10 5 0 0 5 0 0 15 5 5 30 10 0 0 5 5 0 5 0 0 20 1 2 2.155 72 0.90 84 84 5 0 10 0 0 0 0 14 10 5 24 14 5 0 5 0 5 0 5 0 21 0 1 2.215 74 0.94 85 85 0 0 0 0 0 5 0 62 10 0 0 5 0 0 5 10 0 0 0 5 21 0 3 1.325 44 1.16 86 86 0 0 0 0 0 0 0 10 10 5 10 0 0 5 5 5 10 5 35 0 20 1 1 2.037 68 1.02 87 87 0 11 0 0 5 0 0 11 0 5 11 16 0 32 5 5 0 0 0 0 19 2 0 1.986 67 0.83 88 88 0 5 0 0 5 0 0 65 5 15 0 0 0 0 0 0 0 0 0 5 20 1 0 1.164 39 1.21 89 89 26 0 5 0 0 5 0 11 11 5 0 0 0 0 0 0 16 11 5 5 19 2 0 2.129 72 0.86 90 90 0 5 5 0 0 0 5 10 30 5 5 0 0 0 5 10 0 10 0 10 20 1 1 2.181 73 0.89 91 91 15 35 10 0 10 0 0 5 10 0 5 5 0 0 0 5 0 0 0 0 20 1 1 1.942 65 1.02 92 92 11 0 11 0 0 0 0 6 11 0 11 28 0 6 0 0 0 11 6 0 18 3 2 2.058 71 0.93 93 93 0 6 6 0 11 6 39 0 6 0 0 0 0 6 0 6 0 0 11 6 18 3 3 1.980 68 0.96 94 94 6 0 0 0 0 0 0 0 69 0 6 0 0 0 0 0 0 19 0 0 16 5 3 0.918 33 1.32 95 95 0 5 0 5 5 0 5 0 55 0 10 5 0 0 0 5 0 0 0 5 20 1 1 1.608 54 1.04 96 96 10 0 0 0 5 0 0 5 10 5 0 5 0 5 15 25 0 0 10 5 20 1 1 2.221 74 0.86 97 97 5 70 5 0 5 0 0 0 0 0 0 5 5 0 0 0 0 5 0 0 20 1 0 1.148 38 1.31 98 98 6 6 0 0 0 0 6 6 12 12 0 6 0 0 0 6 0 18 12 12 17 3 1 2.313 82 0.86 99 99 0 0 0 0 0 0 0 56 11 6 6 6 0 6 0 0 6 0 0 6 18 3 0 1.534 53 1.22 100 100 22 17 11 0 0 0 11 11 6 0 0 6 6 6 0 0 6 0 0 0 18 3 1 2.168 75 0.88 101 101 0 0 6 0 0 0 0 6 0 33 6 6 0 6 0 11 6 0 0 22 18 3 0 1.908 66 0.97 102 102 5 0 0 0 0 5 0 11 53 0 11 0 5 0 0 5 0 5 0 0 19 2 0 1.587 54 1.09 103 103 5 5 0 0 16 5 32 0 5 5 0 5 0 5 11 0 5 0 0 0 19 2 1 2.132 72 0.89 104 104 10 5 55 0 5 0 0 5 5 0 0 5 0 0 0 5 0 0 5 0 20 1 0 1.608 54 1.15 105 105 20 15 15 0 0 0 5 5 10 0 5 0 0 5 0 5 0 5 0 10 20 1 4 2.250 75 0.87 106 106 32 26 11 5 0 0 0 11 0 5 0 5 0 0 5 0 0 0 0 0 19 2 0 1.809 61 1.08 107 107 0 0 0 5 0 0 0 11 5 21 11 0 0 5 0 0 11 21 0 11 19 2 2 2.069 70 1.00 108 108 0 16 0 5 0 0 0 11 0 0 11 5 0 0 11 0 21 16 5 0 19 2 2 2.087 71 0.86 109 109 0 0 5 0 0 0 5 0 5 5 5 40 0 0 0 10 15 10 0 0 20 1 0 1.861 62 0.95 110 110 5 0 0 5 0 0 0 0 53 0 5 5 0 5 5 0 5 0 0 11 19 2 0 1.660 56 1.06 111 111 5 0 11 0 0 0 0 5 21 11 11 0 0 5 11 5 5 5 0 5 19 2 0 2.361 80 0.87 112 112 5 5 0 0 0 0 5 0 0 0 16 0 0 0 0 11 5 0 37 16 19 2 2 1.808 61 0.98 113 113 7 13 13 7 0 0 0 0 0 0 7 13 13 7 7 0 0 0 0 13 15 6 0 2.246 83 0.79 114 114 6 11 0 0 0 0 0 11 0 0 0 11 0 6 6 28 6 17 0 0 18 3 0 2.029 70 0.88 115 115 11 5 0 0 0 0 0 0 11 5 5 0 0 5 5 26 11 5 5 5 19 2 0 2.302 78 0.89 116 116 5 47 0 5 16 0 0 0 5 0 11 0 0 0 0 0 0 5 0 5 19 2 2 1.657 56 1.09 117 117 0 5 0 0 0 0 0 20 40 0 0 0 0 5 10 5 0 10 5 0 20 1 1 1.748 58 1.01 118 118 16 11 47 5 0 0 0 0 0 0 0 0 0 0 5 0 5 5 0 5 19 2 0 1.657 56 1.15 119 119 0 16 0 5 0 0 0 5 5 5 5 0 0 5 16 0 21 11 5 0 19 2 1 2.233 76 0.86 120 120 6 11 11 0 0 0 0 11 28 0 0 6 0 0 0 6 0 17 0 6 18 3 2 2.029 70 0.93 121 121 0 15 5 5 15 0 25 0 10 0 5 5 0 0 5 0 0 0 5 5 20 1 0 2.194 73 0.88 122 122 0 0 0 0 0 0 0 62 0 5 5 0 0 0 10 5 0 0 0 14 21 0 0 1.234 41 1.24 123 123 0 0 0 5 0 0 0 14 38 5 10 5 0 0 0 5 5 0 10 5 21 0 1 1.963 66 1.06 124 124 0 0 0 5 0 0 5 10 5 0 30 20 0 5 0 5 0 10 5 0 20 1 1 2.042 68 0.94 125 125 25 10 10 0 5 0 0 0 5 0 10 15 0 5 5 5 0 0 5 0 20 1 1 2.221 74 0.88 126 126 45 10 20 0 0 0 5 0 5 0 5 5 0 0 0 0 0 5 0 0 20 1 0 1.660 55 1.17 127 127 0 6 11 0 28 6 17 0 0 0 11 6 0 6 6 0 0 6 0 0 18 3 2 2.106 73 0.94 128 128 15 0 8 8 0 0 15 8 8 8 0 0 15 8 0 8 0 0 0 0 13 8 0 2.245 88 0.79 129 129 0 6 0 0 0 0 6 11 0 6 0 6 0 0 0 6 6 11 11 33 18 3 0 2.062 71 1.00 130 130 0 0 5 0 0 0 0 16 21 37 0 0 0 0 0 5 0 11 0 5 19 2 4 1.689 57 1.07 131 131 5 0 0 11 0 5 0 11 16 0 21 5 0 0 5 0 5 5 11 0 19 2 2 2.260 77 0.86 132 132 0 5 5 0 0 0 0 5 10 0 10 5 0 0 0 0 5 5 10 40 20 1 0 1.956 65 1.05 133 133 0 0 0 0 0 5 0 20 15 15 5 5 0 0 0 10 0 25 0 0 20 1 1 1.917 64 0.96 134 134 10 10 5 0 10 0 0 0 14 0 19 10 0 0 0 0 0 0 19 5 21 0 2 2.095 70 0.85 135 135 5 0 0 5 0 0 0 10 5 5 10 5 0 5 29 14 5 5 0 0 21 0 3 2.244 75 0.92 136 136 5 10 0 0 0 0 0 5 10 5 5 5 0 0 0 5 5 33 14 0 21 0 1 2.107 70 0.95 137 137 0 5 5 0 0 0 5 5 5 10 0 5 0 5 5 20 10 10 0 10 20 1 0 2.441 81 0.85 138 138 45 10 10 0 0 0 0 0 15 5 0 0 0 5 0 0 5 5 0 0 20 1 0 1.704 57 1.08 139 139 0 0 6 0 0 0 0 6 18 6 12 35 0 0 6 6 0 6 0 0 17 4 1 1.925 68 1.00 140 140 5 0 0 0 0 11 0 0 11 0 0 0 0 0 0 11 42 11 5 5 19 2 1 1.777 60 0.97 141 141 6 0 0 0 0 6 6 6 0 0 0 6 0 18 18 12 12 6 0 6 17 4 0 2.282 81 0.86 142 142 17 33 17 6 6 0 17 0 0 0 0 0 0 0 0 0 0 6 0 0 18 3 2 1.744 60 1.18 143 143 11 16 26 26 5 0 5 5 0 0 0 5 0 0 0 0 0 0 0 0 19 2 2 1.851 63 1.17 144 144 6 17 0 0 0 0 0 6 11 0 22 6 0 0 6 6 17 6 0 0 18 3 0 2.139 74 0.84 145 145 5 0 0 0 0 0 0 10 20 10 5 5 0 0 0 0 10 25 5 5 20 1 2 2.108 70 1.03 146 146 20 0 0 0 0 0 0 10 5 5 5 20 0 0 5 15 10 0 0 5 20 1 2 2.138 71 0.90 147 147 10 0 0 0 0 0 5 5 15 5 0 0 0 5 0 10 10 20 0 15 20 1 1 2.181 73 0.93 148 148 5 0 0 0 0 0 0 57 10 0 5 0 0 0 0 14 0 5 0 5 21 0 4 1.402 47 1.20 149 149 10 14 38 0 5 5 0 0 0 5 0 10 5 5 0 0 0 0 5 0 21 0 3 1.963 66 1.00 150 150 0 19 19 5 10 5 0 0 5 5 5 5 0 10 0 10 0 5 0 0 21 0 0 2.318 77 0.85 151 151 43 5 10 0 0 0 0 5 0 10 0 0 5 0 5 10 0 5 5 0 21 0 3 1.905 64 0.97 152 152 0 10 0 5 0 0 10 5 0 10 10 5 0 14 0 5 0 0 19 10 21 0 1 2.293 77 0.81 153 153 0 5 0 0 0 5 0 5 14 33 5 0 0 0 5 10 0 14 0 5 21 0 0 2.016 67 0.92 154 154 0 5 5 0 5 0 0 0 10 0 14 5 0 0 5 5 14 5 19 10 21 0 3 2.335 78 0.87 155 155 5 5 0 0 0 0 0 5 5 10 5 0 0 0 10 10 19 10 10 10 21 0 1 2.384 80 0.92 156 156 0 0 0 0 5 0 0 0 5 5 10 19 0 5 5 10 5 29 0 5 21 0 1 2.137 71 0.93 157 157 5 5 0 0 10 0 0 0 14 43 0 10 0 5 5 0 0 0 0 5 21 0 2 1.814 61 0.94 158 158 0 5 0 5 0 0 0 10 52 0 0 0 0 0 5 5 5 14 0 0 21 0 1 1.566 52 1.10 159 159 29 14 10 0 0 0 0 5 10 0 0 0 0 0 19 5 0 0 10 0 21 0 4 1.914 64 0.89 160 160 10 10 62 14 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 21 0 1 1.168 39 1.41 161 161 5 5 10 5 0 0 5 0 33 5 14 0 0 0 0 0 5 5 0 10 21 0 1 2.107 70 0.91 162 162 0 0 5 0 0 0 0 60 5 0 0 0 5 0 0 10 0 10 0 5 20 1 0 1.366 46 1.19 163 163 0 5 0 5 10 0 0 5 10 0 5 5 0 0 5 0 25 5 10 10 20 1 3 2.316 77 0.83 164 164 0 5 0 0 0 0 0 47 0 5 0 5 0 0 5 21 0 5 0 5 19 2 1 1.612 55 1.02 165 165 0 5 5 0 0 5 5 0 19 0 10 38 0 5 0 5 0 5 0 0 21 0 1 1.922 64 0.92 166 166 11 16 47 5 5 0 0 0 0 0 0 5 0 0 0 11 0 0 0 0 19 2 2 1.584 54 1.22 167 167 5 0 0 0 0 0 5 10 48 0 10 0 0 0 0 10 5 5 5 0 21 0 0 1.750 58 1.06 168 168 15 25 25 0 15 0 0 0 0 0 0 0 0 0 0 5 5 0 5 5 20 1 1 1.861 62 1.07 169 169 0 0 0 5 0 0 0 0 19 5 0 5 0 0 0 10 5 43 10 0 21 0 1 1.707 57 1.07 170 170 15 15 5 10 5 0 5 10 0 0 5 5 0 0 10 10 0 0 5 0 20 1 4 2.389 80 0.83 171 171 5 45 15 5 5 0 5 10 0 5 5 0 0 0 0 0 0 0 0 0 20 1 0 1.773 59 1.09 172 172 0 0 0 0 0 0 0 5 5 0 11 0 0 5 0 11 11 21 21 11 19 2 3 2.069 70 1.07 173 173 0 6 0 0 0 6 0 0 0 0 11 11 0 6 6 0 28 11 11 6 18 3 0 2.135 74 0.91 174 174 26 16 5 5 0 0 0 5 0 0 5 11 0 5 5 5 0 5 0 5 19 2 0 2.274 77 0.88 175 175 0 0 0 0 0 0 6 22 17 33 17 0 0 0 6 0 0 0 0 0 18 3 0 1.619 56 1.05 176 176 6 39 17 0 6 0 0 11 0 6 0 6 0 6 0 0 0 0 6 0 18 3 2 1.874 65 0.97 177 177 30 25 10 0 0 0 5 5 10 10 0 5 0 0 0 0 0 0 0 0 20 1 1 1.848 62 1.04 178 178 5 0 5 0 0 0 0 0 0 0 0 0 0 5 5 0 5 10 25 40 20 1 1 1.692 56 1.15 179 179 0 5 0 5 0 0 11 5 32 0 11 5 0 0 5 5 0 0 5 11 19 2 2 2.160 73 0.86 180 180 11 37 0 16 5 0 0 0 5 0 5 5 0 5 11 0 0 0 0 0 19 2 1 1.908 65 1.03 181 181 45 15 10 0 10 0 5 0 10 0 0 5 0 0 0 0 0 0 0 0 20 1 0 1.634 55 1.18 182 182 42 16 0 0 11 0 0 0 11 0 5 5 0 0 5 0 0 0 5 0 19 2 1 1.749 59 1.00 183 183 0 0 0 0 5 0 0 5 21 32 5 5 5 5 0 11 0 0 0 5 19 2 1 2.014 68 0.94 184 184 33 6 17 6 0 0 0 6 0 0 17 6 0 0 0 0 0 6 6 0 18 3 1 1.927 67 0.99 185 185 0 0 0 0 0 0 5 47 5 11 0 0 0 0 5 5 0 5 0 16 19 2 2 1.657 56 1.07 186 186 0 0 0 0 0 0 5 50 0 0 5 15 0 0 5 5 0 0 10 5 20 1 0 1.610 54 1.08 187 187 0 0 5 0 0 0 0 40 5 0 15 0 0 5 5 0 0 15 5 5 20 1 1 1.834 61 1.07 188 188 0 0 5 0 0 0 0 57 0 0 5 19 0 0 0 5 0 10 0 0 21 0 1 1.295 43 1.21 189 189 5 29 10 19 14 0 0 0 5 0 5 10 0 5 0 0 0 0 0 0 21 0 1 1.980 66 1.10 190 190 24 14 5 5 5 0 5 5 10 10 0 10 0 5 0 0 0 0 5 0 21 0 2 2.306 77 0.89 191 191 14 0 0 0 0 0 0 0 38 5 10 5 0 0 5 5 0 5 5 10 21 0 1 1.963 66 0.99 192 192 5 0 0 5 0 0 0 40 5 5 0 0 0 0 10 0 0 10 0 20 20 1 2 1.748 58 1.06 193 193 25 0 35 0 5 5 5 0 5 0 0 10 0 0 0 5 0 0 5 0 20 1 2 1.843 62 1.02 194 194 0 0 6 0 0 0 0 6 72 6 0 0 0 0 0 6 0 0 0 6 18 3 3 1.038 36 1.34 195 195 22 17 28 0 11 0 0 0 0 0 6 6 0 0 0 6 0 6 0 0 18 3 1 1.875 65 1.08 196 196 17 11 0 0 0 0 0 6 6 0 11 39 0 0 0 6 0 6 0 0 18 3 2 1.796 62 0.98 197 197 17 17 33 0 6 0 0 0 6 0 11 6 0 0 0 0 0 6 0 0 18 3 0 1.850 64 1.07 198 198 0 0 5 0 0 0 0 0 5 0 5 0 5 0 11 32 0 5 26 5 19 2 2 1.882 64 0.99 199 199 0 0 6 0 6 0 0 6 50 6 0 6 0 6 6 0 6 0 0 6 18 3 2 1.792 62 1.01 200 200 6 53 18 0 6 0 0 0 0 0 0 6 0 0 0 0 6 6 0 0 17 4 1 1.476 52 1.22 201 201 0 0 6 6 6 0 0 12 6 0 0 0 0 12 12 12 0 12 6 12 17 4 1 2.344 83 0.83 202 202 0 6 0 0 0 0 0 6 6 35 0 6 0 6 0 0 12 12 0 12 17 4 2 1.956 69 1.00 203 203 5 0 0 0 0 0 0 5 15 5 25 5 0 5 5 0 5 0 15 10 20 1 1 2.194 73 0.96 204 204 33 0 24 0 0 0 0 10 5 5 5 0 5 5 0 5 0 5 0 0 21 0 3 1.947 65 1.00 205 205 0 5 0 0 0 0 0 14 5 0 10 0 0 0 5 48 0 5 0 10 21 0 2 1.659 55 1.05 206 206 40 15 20 5 0 0 0 5 0 0 0 0 0 0 0 0 5 5 5 0 20 1 1 1.722 57 1.15 207 207 0 5 25 0 10 0 45 0 0 0 0 0 0 5 5 5 0 0 0 0 20 1 2 1.535 51 1.09 208 208 0 0 0 0 0 0 0 15 35 10 5 10 0 0 5 0 0 10 10 0 20 1 1 1.873 63 1.07 209 209 11 0 5 0 0 0 5 5 32 5 0 21 0 0 0 0 5 0 5 5 19 2 1 2.014 68 0.96 210 210 0 5 0 0 0 0 0 5 16 0 0 5 0 0 0 0 11 32 5 21 19 2 1 1.840 63 1.12 211 211 5 0 0 0 0 0 5 10 10 43 0 5 5 0 0 5 5 5 0 5 21 0 1 1.971 66 0.99 212 212 0 14 0 0 0 0 5 10 10 0 33 5 0 0 0 0 5 5 10 5 21 0 1 2.041 68 0.90 213 213 0 10 0 0 0 0 0 10 10 0 5 10 0 5 0 5 0 5 24 19 21 0 3 2.133 71 0.96 214 214 0 15 0 10 0 5 0 5 30 5 5 5 0 0 0 0 5 10 5 0 20 1 2 2.155 72 0.87 215 215 0 0 0 5 0 5 0 5 0 16 5 11 0 0 0 5 0 0 16 32 19 2 1 1.959 67 0.92 216 216 0 0 0 0 0 5 0 5 10 10 5 0 0 5 0 5 10 0 5 40 20 1 1 1.956 65 1.01 217 217 11 6 0 0 6 0 0 6 6 11 0 6 33 0 6 0 0 6 6 0 18 3 1 2.139 74 0.82 218 218 15 10 0 0 10 5 35 0 0 0 0 0 0 5 5 10 0 0 0 5 20 1 2 1.942 65 0.93 219 219 0 5 0 0 0 0 0 10 19 5 0 5 0 5 5 10 33 5 0 0 21 0 2 2.000 67 0.99 220 220 5 5 5 0 0 0 5 10 19 0 19 10 0 0 10 0 5 0 10 0 21 0 1 2.252 75 0.85 221 221 5 11 0 0 0 0 0 0 11 11 16 5 0 0 5 26 5 0 0 5 19 2 1 2.129 72 0.88 222 222 0 68 11 0 0 0 5 0 0 0 11 0 0 0 0 0 5 0 0 0 19 2 2 1.044 35 1.25 223 223 0 0 0 0 0 5 0 0 15 5 10 5 0 5 15 25 0 0 10 5 20 1 5 2.125 71 0.94 224 224 5 11 0 5 5 0 0 47 16 0 0 0 0 0 0 5 0 0 5 0 19 2 0 1.657 56 1.00 225 225 0 10 0 10 0 5 0 15 5 0 5 5 0 0 5 5 0 25 10 0 20 1 3 2.221 74 0.84 226 226 0 35 15 15 5 0 0 5 5 0 0 5 0 5 0 5 0 0 0 5 20 1 1 1.985 66 1.03 227 227 5 11 0 0 0 0 0 5 11 5 11 32 0 0 0 5 0 5 5 5 19 2 0 2.160 73 0.93 228 228 5 0 0 0 0 0 0 11 21 26 5 0 0 0 11 5 0 5 0 11 19 2 1 2.010 68 0.99 229 229 5 0 0 5 0 0 0 0 5 0 11 11 0 21 5 5 0 5 21 5 19 2 1 2.215 75 0.90 230 230 11 37 5 11 11 0 0 5 5 0 0 5 0 0 0 0 0 5 0 5 19 2 4 2.009 68 1.05 231 231 5 0 5 0 5 0 5 10 0 5 0 0 0 20 10 5 10 0 10 10 20 1 0 2.372 79 0.83 232 232 5 5 5 0 0 0 0 16 11 5 0 11 0 0 11 5 0 11 0 16 19 2 1 2.306 78 0.89 233 233 5 5 0 5 0 0 0 5 16 26 5 0 0 0 11 0 5 0 0 16 19 2 0 2.101 71 0.91 234 234 5 0 0 0 0 0 0 5 20 5 0 5 0 5 5 5 15 15 5 10 20 1 3 2.320 77 0.97 235 235 0 11 0 11 0 0 0 0 5 0 11 21 0 5 5 0 11 5 0 16 19 2 0 2.187 74 0.85 236 236 5 0 63 0 11 0 0 5 11 0 0 0 0 0 0 0 0 5 0 0 19 2 1 1.229 42 1.22 237 237 5 0 0 0 0 0 5 10 40 5 5 0 0 0 0 5 0 20 5 0 20 1 0 1.817 61 1.03 238 238 6 0 0 0 6 0 0 0 0 0 0 6 0 0 0 6 6 28 17 28 18 3 0 1.813 63 1.07 239 239 0 0 0 0 0 0 0 50 5 10 5 0 0 15 5 5 0 0 0 5 20 1 2 1.610 54 1.07 240 240 47 16 0 11 5 5 11 0 0 0 0 0 0 5 0 0 0 0 0 0 19 2 3 1.584 54 1.14 241 241 0 0 0 0 0 5 5 5 5 0 10 0 5 0 10 24 14 10 10 0 21 0 1 2.240 75 0.88 242 242 0 5 5 5 0 0 5 5 10 5 29 5 0 0 0 10 0 10 0 10 21 0 0 2.269 76 0.88 243 243 5 0 0 0 0 5 0 5 0 0 24 10 5 0 14 5 5 10 14 0 21 0 2 2.215 74 0.89 244 244 5 19 38 5 0 5 5 0 5 0 5 0 0 0 0 0 0 10 5 0 21 0 4 1.922 64 0.99 245 245 5 0 5 0 0 0 0 57 5 0 10 0 0 0 10 5 0 0 0 5 21 0 2 1.493 50 1.14 246 246 5 48 5 5 0 0 0 0 10 0 5 0 0 0 5 10 0 0 5 5 21 0 2 1.816 61 0.98 247 247 0 0 5 0 0 0 0 5 0 0 10 0 0 0 5 0 5 29 24 19 21 0 1 1.819 61 1.12 248 248 5 5 5 5 0 0 0 5 5 0 5 45 0 0 0 5 0 10 5 0 20 1 0 1.938 65 1.01 249 249 0 10 10 5 19 10 5 0 14 5 5 0 0 10 0 0 10 0 0 0 21 0 1 2.293 77 0.83 250 250 0 0 0 0 0 0 0 24 14 29 10 0 0 5 5 0 0 10 5 0 21 0 2 1.860 62 1.05 251 251 11 5 26 0 0 0 0 5 5 5 11 16 0 0 0 16 0 0 0 0 19 2 1 2.028 69 0.92 252 252 10 10 5 0 0 0 14 10 19 0 0 5 5 0 5 5 0 5 10 0 21 0 1 2.359 79 0.79 253 253 0 5 10 0 5 0 0 5 14 0 0 0 5 5 19 10 14 5 5 0 21 0 0 2.335 78 0.80 254 254 5 0 0 0 0 0 0 5 10 10 5 5 0 0 0 10 5 10 0 35 20 1 1 2.037 68 1.04 255 255 10 20 5 5 0 0 20 0 5 0 20 5 0 0 0 5 0 5 0 0 20 1 0 2.095 70 0.83 256 256 40 20 0 5 0 0 5 0 20 0 5 5 0 0 0 0 0 0 0 0 20 1 0 1.609 54 1.08 257 257 10 0 0 0 0 0 0 0 0 0 0 5 0 10 0 10 5 24 5 33 21 0 5 1.815 61 1.11 258 258 5 0 0 0 0 0 0 0 0 5 0 0 0 0 0 5 0 20 15 50 20 1 0 1.402 47 1.27 259 259 28 22 11 0 0 0 6 17 0 0 0 0 0 0 0 11 0 6 0 0 18 3 3 1.798 62 0.94 260 260 5 15 5 10 35 10 10 0 0 0 5 0 0 0 5 0 0 0 0 0 20 1 3 1.942 65 1.20 261 261 0 5 5 0 0 0 0 0 0 5 11 37 0 5 0 11 0 11 5 5 19 2 1 2.009 68 0.95 262 262 21 16 11 5 0 0 5 5 11 0 0 5 0 0 0 5 5 11 0 0 19 2 0 2.260 77 0.90 263 263 0 5 0 0 5 0 0 5 10 10 5 29 0 0 0 5 0 14 5 10 21 0 0 2.178 73 0.93 264 264 0 0 0 0 0 0 0 14 14 5 10 5 0 10 0 5 0 29 0 10 21 0 3 2.021 67 1.05 265 265 10 0 0 0 0 0 0 10 5 10 0 5 0 5 0 0 0 20 10 25 20 1 1 2.039 68 1.03 266 266 0 0 0 0 0 0 0 5 19 10 0 0 0 0 14 0 0 43 5 5 21 0 0 1.616 54 1.08 267 267 10 20 25 5 15 0 0 0 15 0 0 0 0 0 0 0 0 5 0 5 20 1 3 1.917 64 1.05 268 268 0 16 5 0 0 0 0 11 0 11 0 5 5 0 5 26 0 5 5 5 19 2 0 2.202 75 0.80 269 269 0 11 0 0 21 5 16 5 11 0 11 5 0 0 0 0 0 11 0 5 19 2 0 2.187 74 0.83 270 270 5 5 0 0 0 0 0 5 53 5 5 5 0 5 5 0 0 0 0 5 19 2 1 1.733 59 1.08 271 271 0 0 0 10 5 0 0 0 5 10 14 29 0 0 10 10 0 0 5 5 21 0 1 2.112 70 0.89 272 272 0 5 0 0 0 10 0 5 5 10 0 0 0 5 10 15 30 5 0 0 20 1 1 2.085 70 0.92 273 273 5 15 5 15 15 0 0 0 5 5 10 10 0 0 0 0 5 0 0 10 20 1 0 2.293 77 0.85 274 274 20 25 10 5 0 0 5 10 10 0 0 0 0 0 5 5 5 0 0 0 20 1 1 2.108 70 0.93 275 275 0 10 0 0 14 14 10 0 10 0 5 0 5 14 0 5 5 0 10 0 21 0 1 2.310 77 0.83 276 276 0 0 0 0 0 0 0 57 0 10 0 5 0 5 5 0 0 5 5 10 21 0 5 1.493 50 1.20 277 277 0 10 0 0 0 0 0 10 0 0 0 14 0 5 33 5 5 5 5 10 21 0 1 2.041 68 0.89 278 278 5 14 5 19 5 0 5 0 5 0 0 5 5 5 5 0 10 10 5 0 21 0 1 2.491 83 0.83 279 279 0 0 0 0 0 0 5 5 5 5 5 0 0 5 15 30 5 10 10 0 20 1 2 2.155 72 0.95 280 280 16 32 16 0 5 0 0 0 11 0 5 0 5 0 0 0 5 5 0 0 19 2 2 1.959 67 1.00 281 281 25 25 20 10 0 0 0 0 0 5 5 5 0 0 0 0 0 0 5 0 20 1 2 1.844 62 1.13 282 282 0 10 25 0 5 5 0 5 35 10 0 5 0 0 0 0 0 0 0 0 20 1 1 1.774 59 0.93 283 283 0 0 0 0 0 0 0 0 10 5 10 5 0 5 10 0 0 48 5 5 21 0 2 1.750 58 1.09 284 284 0 5 5 0 0 0 0 5 10 29 0 0 0 14 10 14 0 5 5 0 21 0 2 2.087 70 0.90 285 285 0 5 10 5 5 0 5 0 10 0 19 24 0 0 5 5 0 5 0 5 21 0 1 2.265 76 0.84 286 286 5 0 0 0 0 0 10 10 45 5 5 0 0 5 0 5 0 10 0 0 20 1 2 1.799 60 1.00 287 287 5 0 0 0 0 0 0 67 5 0 5 5 0 0 0 5 0 0 0 10 21 0 3 1.219 41 1.34 288 288 15 10 15 0 5 0 0 5 20 0 5 0 0 5 0 5 0 10 0 5 20 1 1 2.250 75 0.87 289 289 5 0 5 0 0 0 0 5 43 5 5 5 0 0 0 10 5 5 5 5 21 0 2 2.037 68 1.03 290 290 10 48 10 0 10 0 0 0 5 0 0 5 0 0 5 5 0 0 0 5 21 0 0 1.750 58 1.10 291 291 0 0 0 0 0 0 0 0 57 5 14 5 0 0 0 0 0 10 5 5 21 0 1 1.402 47 1.23 292 292 10 0 0 5 0 0 0 5 48 0 5 10 0 5 0 5 0 5 0 5 21 0 3 1.816 61 1.06 293 293 45 0 10 0 0 5 5 0 20 0 0 0 0 0 5 0 0 0 5 5 20 1 0 1.660 55 0.97 294 294 10 29 10 5 14 5 10 0 5 0 5 0 5 0 0 0 0 0 5 0 21 0 3 2.178 73 1.03 295 295 5 5 0 0 5 0 0 5 15 0 25 10 0 0 5 5 0 10 0 10 20 1 1 2.221 74 0.88 296 296 10 0 5 0 0 0 0 0 10 15 0 10 0 0 5 5 15 10 10 5 20 1 0 2.320 77 0.89 297 297 10 10 0 0 0 0 19 5 5 5 5 5 0 5 10 14 0 0 5 5 21 0 0 2.425 81 0.79 298 298 5 24 5 5 29 0 10 0 10 5 0 5 0 5 0 0 0 0 0 0 21 0 1 2.017 67 1.06 299 299 0 5 0 10 5 0 0 5 5 0 10 0 0 0 0 10 29 14 0 10 21 0 1 2.112 70 0.92 300 300 5 5 0 5 0 0 0 5 0 10 5 29 0 10 5 10 0 0 5 10 21 0 1 2.269 76 0.88 301 301 44 0 11 0 11 0 0 0 11 6 0 0 0 11 0 0 0 6 0 0 18 3 1 1.658 57 1.01 302 302 0 6 6 0 0 0 0 0 0 0 33 11 0 0 6 11 6 11 6 6 18 3 0 2.062 71 0.92 303 303 0 0 5 0 0 0 0 5 5 48 10 5 0 0 0 5 0 19 0 0 21 0 0 1.618 54 1.08 304 304 0 0 0 0 0 0 0 10 10 0 10 10 0 0 5 0 5 38 5 10 21 0 1 1.922 64 1.10 305 305 30 20 5 5 5 0 0 5 10 0 0 10 0 0 0 5 5 0 0 0 20 1 2 2.042 68 1.01 306 306 5 0 0 0 0 0 5 5 5 5 10 5 0 0 5 25 0 25 5 0 20 1 1 2.122 71 0.91 307 307 0 0 0 0 0 0 6 11 6 0 17 0 0 0 11 0 6 0 22 22 18 3 1 1.937 67 0.98 308 308 35 24 0 6 0 0 0 6 6 0 0 12 0 0 0 0 12 0 0 0 17 4 1 1.712 60 1.04 309 309 13 19 6 0 0 0 0 0 13 0 6 0 13 13 6 0 0 6 0 6 16 5 1 2.220 80 0.79 310 310 22 22 33 0 0 6 0 0 0 6 0 6 0 6 0 0 0 0 0 0 18 3 3 1.677 58 1.12 311 311 56 6 17 0 0 0 0 0 0 6 0 11 0 0 0 0 0 6 0 0 18 3 4 1.351 47 1.26 312 312 5 50 10 5 15 0 0 0 5 0 0 0 0 0 0 0 5 5 0 0 20 1 2 1.610 54 1.25 313 313 0 0 5 0 0 0 0 0 20 0 45 5 0 0 5 10 0 0 10 0 20 1 0 1.591 53 1.07 314 314 5 0 0 0 0 0 0 58 5 0 0 5 0 0 5 5 0 0 0 16 19 2 1 1.383 47 1.21 315 315 0 5 0 0 0 0 0 55 20 0 0 0 0 0 5 5 0 10 0 0 20 1 1 1.330 44 1.18 316 316 5 0 0 5 0 0 5 5 10 0 15 0 0 5 0 10 10 0 15 15 20 1 1 2.293 77 0.88 317 317 40 10 15 5 0 0 0 5 5 0 0 5 0 5 5 5 0 0 0 0 20 1 2 1.930 64 1.06 318 318 0 0 10 0 5 0 0 5 10 5 5 5 0 0 0 5 5 10 10 25 20 1 1 2.316 77 0.91 319 319 10 43 14 5 10 0 5 0 0 5 0 0 0 0 5 0 0 5 0 0 21 0 1 1.814 61 1.16 320 320 0 5 0 5 10 0 0 0 5 10 0 29 0 5 5 10 0 14 0 5 21 0 0 2.178 73 0.84 321 321 0 0 0 5 5 0 0 5 24 19 29 5 0 0 5 0 0 5 0 0 21 0 1 1.885 63 0.99 322 322 5 48 0 5 0 0 5 0 0 5 10 10 0 5 0 10 0 0 0 0 21 0 2 1.750 58 0.96 323 323 0 0 0 0 0 0 0 5 10 0 20 0 0 5 5 5 0 0 30 20 20 1 1 1.834 61 1.07 324 324 5 5 0 0 5 20 10 5 5 10 5 10 0 0 5 5 0 0 0 10 20 1 1 2.441 81 0.79 325 325 37 16 16 0 0 0 0 0 0 0 0 11 0 5 5 5 5 0 0 0 19 2 1 1.808 61 1.05 326 326 11 17 0 0 0 0 0 50 6 0 6 0 0 0 11 0 0 0 0 0 18 3 0 1.455 50 0.97 327 327 5 5 5 0 0 5 0 0 11 0 5 5 0 0 5 11 11 21 11 0 19 2 2 2.361 80 0.83 328 328 15 0 0 5 0 0 0 5 45 5 5 0 0 5 5 5 0 5 0 0 20 1 0 1.842 61 1.01 329 329 5 0 0 5 0 0 0 16 21 0 5 0 0 0 5 0 0 32 0 11 19 2 1 1.840 63 1.04 330 330 6 6 6 0 0 0 0 12 0 0 6 6 6 6 35 6 6 0 0 0 17 4 1 2.119 75 0.84 331 331 0 0 5 0 0 0 0 10 20 25 0 20 0 0 10 0 5 5 0 0 20 1 1 1.900 63 0.99 332 332 5 11 5 5 0 5 5 0 32 0 0 5 0 0 0 0 0 11 5 11 19 1 2 2.160 73 0.84 333 333 0 0 11 0 0 0 0 26 16 16 0 5 0 0 0 0 5 11 5 5 19 1 0 2.028 69 1.00 334 334 0 13 13 0 19 13 19 6 0 0 0 6 0 6 6 0 0 0 0 0 16 4 0 2.101 76 0.98 335 335 0 5 5 0 0 0 0 5 11 0 5 5 5 0 11 11 37 0 0 0 19 0 0 2.009 68 0.90 336 336 0 0 0 0 0 6 0 0 12 18 0 35 6 6 0 0 0 6 12 0 17 0 0 1.844 65 0.92 337 337 56 19 13 0 0 0 6 0 0 6 0 0 0 0 0 0 0 0 0 0 16 0 0 1.244 45 1.33 338 338 0 0 0 0 8 0 0 15 0 0 31 8 0 0 15 0 0 8 15 0 13 0 0 1.818 71 0.91 339 339 67 22 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0.849 39 1.53 ## INSERTION LIST AliNo IPOS JPOS Len Sequence 1 28 31 5 lQKMEKl 1 93 93 1 fSs 1 131 131 1 nFd 1 148 147 1 gFt 1 241 240 1 aVk 1 327 326 4 eRCELg 2 40 54 1 rPt 2 47 62 9 qNITAGTRTTl 2 60 84 2 aHTt 2 66 92 2 gQAl 2 105 132 5 yMGAKDv 2 125 155 2 vIPv 2 127 159 9 hSGSATLKDAc 2 130 171 2 eALr 2 146 189 1 tAa 2 154 198 2 tIVr 2 172 217 1 dKe 2 187 233 4 gSNAIg 2 213 258 3 gHGIe 2 223 271 8 kHGRVGIYFg 2 234 290 1 dGq 2 252 308 3 vGPQh 2 257 316 5 nSIGRAd 2 311 373 1 vNl 2 314 377 1 gRg 3 24 37 23 tTYGEEVKFGGGKVIRDGMGQGQMl 3 27 63 5 aDCVDLv 3 32 73 1 aLi 3 36 78 2 hWGi 3 45 89 1 kDg 3 50 95 2 aIGk 3 58 105 7 qPNVTIPIg 3 60 114 3 aATEv 3 69 126 5 vTAGGId 3 71 133 6 tHIHWICp 3 80 148 4 vSGVTt 3 91 163 1 aGt 3 154 221 2 dWGa 3 170 239 10 mDIQVALHSDTl 3 185 264 12 gGRTIHTFHTEGAg 3 230 313 7 lDMLMVCHh 3 240 330 3 vAFAe 3 259 351 2 lGAf 3 264 358 9 sSDSQAMGRVg 3 280 383 24 vQRGALAEETGDNDNFRVKRYIAKYt 3 284 411 2 pALt 3 289 418 10 aHEVGSIEVGKl 3 291 430 2 aDLv 4 34 125 1 fRt 4 41 133 1 dAl 4 47 140 3 eSRMl 4 57 153 16 iSPREARSLIEQAEKRQk 4 73 185 1 eYe 4 80 193 1 lDt 4 84 198 3 sELEk 4 131 242 1 sLn 4 139 251 3 tRAEq 4 145 260 3 qKNTp 4 148 266 1 gKt 4 158 277 8 gRSSTNDSIv 4 163 290 4 dPRFAg 4 168 299 3 iTTSa 4 185 319 4 gLDYKr 4 222 360 16 lDARNKITSAESAVNSAr 4 240 394 6 lNALLKEk 4 257 417 5 eEKRKQd 4 274 439 6 lKSVSEKy 4 276 447 1 gAk 4 287 459 33 gQAKGKKIRNVEEALKTYEKYRADINKKINAKDRa 4 294 499 1 lEs 4 315 517 3 gLGYa 4 322 527 1 lAd 4 325 531 3 iTEFg 5 35 276 2 nVDq 5 44 287 3 fWGIg 5 77 321 2 kSMs 5 92 337 4 tAQDVy 5 93 342 11 yNNVVRTCIEAMa 5 95 355 8 aTQGHTQSLh 5 107 375 5 pTDFSAr 5 134 406 2 sAYv 5 142 416 7 lARKAWGHi 5 147 428 11 eKVGGMAKAIEKg 5 159 451 5 aRTQARi 5 160 457 1 iDs 5 162 460 1 gRq 5 169 468 2 nKYr 5 192 491 1 eQk 5 194 494 2 aKLv 5 209 511 6 aLDKITWa 5 215 523 2 dDKd 5 223 533 12 kLCIDAGRAMATVg 5 230 552 6 lEKVFGRy 5 234 562 2 qIRt 5 251 580 2 vEEa 5 264 594 3 eGRRp 5 271 604 2 kMGq 5 277 612 1 rGq 5 306 642 5 rQAVEAd 5 311 652 4 vGVSSl 5 319 664 5 lVPALRk 6 16 76 4 dNCVGv 6 42 104 2 lVHf 6 63 124 8 aDPAKAARLa 6 69 138 2 pKKt 6 73 144 6 eSLKAVQa 6 108 182 5 eVDLIAt 6 119 198 2 qVKa 6 170 244 3 vREFi 6 190 263 3 yKNWa 6 218 292 2 yTPq 6 232 308 2 dFNp 6 244 322 2 wYEg 6 322 399 1 lFs 6 327 405 1 rTa 6 330 409 5 rGIQCLt 7 9 9 2 fIRv 7 68 61 4 iIAAGp 7 77 74 4 tGGRYn 7 83 84 2 sPLt 7 85 88 5 gFITMAn 7 112 119 5 kPVYIYi 7 149 161 1 iAs 7 156 169 5 eNLVKFa 7 160 178 6 mNDGHRAa 7 164 188 12 gGVGAVMGSKNLKa 7 178 214 4 dKQKFm 7 182 222 10 vREKVNKLRNDp 7 191 241 1 kYg 7 203 254 4 nGLYPv 7 205 260 5 kNFQTGv 7 207 267 2 yPYa 7 214 276 10 eAMAAKYLVRNk 7 219 291 8 aCPIGCGRVn 7 223 303 2 pTVg 7 225 307 11 eTEGPEYESVWAl 7 230 323 2 lGIn 7 236 331 2 iIEa 7 257 354 2 tAMe 7 260 359 3 yEKGh 7 281 383 3 lHYYi 7 286 391 5 aKREGFg 7 292 402 3 eGSYr 8 19 48 3 vCFVa 8 30 62 7 tRQGFPELs 8 38 77 1 aKa 8 47 87 4 dPPEHm 8 52 96 3 sMVEp 8 105 150 5 iYTLLGv 8 107 157 6 pFNDLEYl 8 136 187 7 eLLDYLAIl 8 149 207 3 iISKl 8 208 260 3 aQLKa 8 216 271 5 qFVEELc 8 217 277 1 cRy 8 239 300 1 kLv 8 246 308 2 iIAs 8 267 328 4 fNMNRk 8 272 337 4 qDPLGf 8 324 389 1 rDv 9 6 28 1 tNi 9 10 33 4 hKGALd 9 14 41 7 qLKESIRDa 9 16 50 1 hFi 9 27 62 1 eDv 9 29 65 15 iNAAEKLVAIGCFCIGt 9 33 84 1 vDl 9 42 94 1 iPv 9 54 106 3 sVAEl 9 95 144 3 aRGKk 9 120 165 2 aESl 9 133 180 4 kLPLGn 9 142 192 5 lSDLLNm 9 193 241 5 iPALCDa 9 200 253 1 lAg 9 222 276 4 lCEFDn 9 281 336 1 mHi 9 282 338 1 iHe 9 288 345 2 vLTa 9 294 353 8 fAEQGVNIAa 9 310 376 1 iDi 10 14 8 3 kLAVs 10 19 16 8 iLAVDTVSKa 10 24 29 6 hPGAPLGm 10 27 38 3 pAAHv 10 33 47 9 mRMNPTNPDWi 10 36 59 5 rDRFVLs 10 53 81 1 gYd 10 67 95 3 lGSRt 10 73 104 1 eFe 10 94 124 7 aVGMAMAQa 10 100 137 3 tYNKp 10 105 145 17 lSDNYTYVFLGDGCLQEGi 10 112 169 3 sLAGh 10 117 177 2 gNLi 10 135 197 2 sFDe 10 151 213 4 vLYVEn 10 172 236 1 sKd 10 228 282 2 pDKs 10 244 300 3 iLKPg 10 246 305 3 vEANn 10 283 342 3 eSKLp 10 298 360 1 lSe 11 26 326 1 tDq 11 55 351 10 lNSQQDWQSNAk 11 58 364 3 rIVDg 11 116 417 3 fHDYe 11 123 426 4 aLNHTt 11 130 437 10 gQQITTWAGEVs 11 134 451 13 nNIQFGNADAQIDGr 11 149 478 1 hNl 11 151 481 6 vEFDAFYl 11 159 495 3 vEKDl 11 177 516 1 yGn 11 189 529 7 iTLTRQQNi 11 192 539 6 gSQNGRLi 11 193 546 2 iYPa 11 204 559 1 vMs 11 210 566 1 dGg 11 249 592 1 lEp 11 257 601 4 eLQNGd 11 276 621 5 gVNYSPr 11 289 638 3 tWSLl 11 311 663 3 tRFEq 12 10 87 5 eWDGSMg 12 40 121 1 qGt 12 50 132 1 vYn 12 71 148 3 hTYVp 12 83 163 7 rEEELKSLr 12 86 173 1 nGt 12 130 216 11 pRRGRTGRGPTVt 12 166 263 6 lSQIVQPa 12 170 273 3 sAFDl 12 176 282 7 iEFHSFQDv 12 205 315 1 kEl 12 213 324 5 hILKFPq 12 244 359 2 vIRg 12 250 367 16 pPKSNLDPAIYGDQSSKi 12 257 390 1 dLd 12 264 398 12 eALGSRRLFMLDYh 12 267 413 15 iFMPYVRQINQLNSAKt 12 275 436 5 lFLREDg 12 279 445 5 kPVAIEl 12 317 487 8 vIVNDSCYHq 12 321 499 2 sHWl 12 331 510 3 pFVIa 13 9 19 1 lKa 13 40 49 1 sTs 13 53 63 1 gVs 13 57 68 1 iDk 13 59 71 1 gVt 13 78 89 1 sCg 13 135 127 3 kLQDk 13 179 173 3 sPNFh 13 198 194 9 kTPSTARNTDg 13 202 207 1 pMs 13 213 219 3 nIATg 13 221 230 1 kAy 13 226 236 1 aEt 13 229 240 3 nISIl 13 259 271 1 lKm 13 267 280 5 lRIKSDk 13 276 294 1 gVr 13 277 296 5 rYSNVVm 13 279 303 5 kNVAKPi 13 282 311 4 iDTVYe 13 316 348 4 nAKKPi 14 11 33 1 aLl 14 31 54 1 sMk 14 36 60 12 qLGAKVERNGSVHi 14 40 76 2 rDVn 14 50 86 2 dLVk 14 108 141 3 eGYVk 14 143 171 1 mCa 14 146 175 2 tLAe 14 148 179 2 gTTi 14 157 190 13 pEIVDTANFLITLGa 14 165 211 2 tDRi 14 183 231 2 pDRi 14 207 251 2 iCRn 14 305 339 10 lSRMGAHAEIEs 14 310 354 3 iCHGv 14 311 358 2 vEKl 14 317 366 3 vMATd 15 17 35 1 iKs 15 26 45 1 tVa 15 42 62 1 vGg 15 64 85 4 iAAAAk 15 74 99 9 dDTNVELLGGg 15 93 127 1 ySa 15 103 138 3 fVQAi 15 105 143 4 iNEFDv 15 120 162 1 gRy 15 148 189 5 gYALRNi 15 152 198 7 nHVVAATLk 15 154 207 2 nTLq 15 159 214 2 lSTi 15 166 223 8 mFEMGDAVGa 15 176 241 6 lAYQGMNa 15 184 255 4 lVKANg 15 190 265 1 vGs 15 194 270 1 aDl 15 204 281 10 vIKVEKELTDYk 15 230 315 2 mVNq 15 244 331 4 lLYYNd 15 260 349 1 fGk 15 270 360 2 sFFs 15 276 368 8 gGGGPGIFNg 15 287 387 5 gFAIPCv 15 310 415 2 iKEv 15 318 423 2 dEFr 16 24 66 2 fEAi 16 26 70 15 tWLEELNGKKFGDTEDp 16 31 90 14 sVRSAARASMPGMMDt 16 49 119 1 fAk 16 98 162 1 eKg 16 130 190 2 aMNg 16 159 221 7 iVYRRMNDi 16 163 232 1 dWg 16 196 258 15 tRNPSTGEKGIYGEYLi 16 204 281 2 vVAg 16 211 290 5 pITQLEn 16 220 304 2 qFMd 16 234 320 4 qDMEFt 16 239 329 4 gKLYFl 16 250 344 4 pAALQi 16 265 363 5 eAVVRIe 16 279 382 13 nPAALKAGEVIGSAl 16 284 400 9 pGAAAGKVYFt 16 292 417 6 aHEKGERv 16 304 434 1 eDi 16 309 440 5 hAAEGIl 17 39 194 5 aYATMLr 17 43 203 4 fDFNAl 17 68 229 9 vGPYVKKILCe 17 79 249 4 vNCVPl 17 90 264 1 pNl 17 212 357 6 tGWKFFGn 17 223 372 2 sLCg 17 225 376 3 eESFg 17 245 397 1 aWl 17 259 412 12 iLKDHWHKFGRNFf 17 261 426 3 tRYDy 17 285 453 1 sFv 17 292 461 3 aNDKv 17 295 467 7 tVEKADNFe 17 305 484 1 vSk 17 307 487 2 nQGl 18 59 62 2 gYDg 18 66 70 2 gIQv 18 73 79 2 tGId 18 85 93 10 gAEFGYDRCVVa 18 93 111 10 yDKIEGYSEEAa 18 135 161 6 rCPPGPYe 18 140 172 2 qVAy 18 145 179 4 aHKPMs 18 157 195 10 fSKQSQFSKGWe 18 195 242 2 fGDe 18 199 248 4 aDVINl 18 202 255 3 pPQRa 18 206 262 2 iAQi 18 217 275 6 cPVDIKTf 18 240 302 1 mPk 18 299 359 1 dGs 19 6 16 1 cKi 19 9 20 9 lVVDNGKIVRa 19 35 54 2 nDTq 19 58 77 5 ePVSWDe 19 74 98 1 kYg 19 82 107 1 tGs 19 94 120 17 vMQKFARAVIGTNNVDCCa 19 116 158 2 mSNa 19 124 168 1 tDl 19 127 172 3 fVFGy 19 143 190 3 iNAKr 19 151 201 1 vCd 19 155 206 1 kIe 19 180 231 13 mGHVIIEENLYDKAf 19 188 252 6 gFEEYRKi 19 193 263 6 yTPESVEd 19 196 272 1 tGv 19 199 276 2 aSEi 19 214 293 7 aILWGMGVt 19 219 305 5 qGVETVr 19 223 314 2 tSLa 19 243 336 8 qNNVQGACDm 19 245 346 1 gAl 19 246 348 1 lPd 19 276 372 10 gVESLPAHTGYr 19 286 392 1 aHg 19 294 401 2 iMGe 19 300 409 6 tDAELSAv 19 312 427 10 iVQDIFMTKTAs 19 329 453 3 eGVFt 19 332 459 2 aDRg 20 35 46 2 nIGc 20 62 75 3 gISVa 20 67 83 1 lDi 20 85 102 6 gVAALLKk 20 92 115 2 vHGw 20 170 187 6 lGIAYRKl 20 171 194 1 lGa 20 179 203 2 aREr 20 198 224 4 kKLGIa 20 201 231 2 hLGh 20 225 257 4 eADRVl 20 243 277 3 eCLDl 20 254 291 5 dERCQTs 20 260 302 3 wAIGd 20 287 330 7 gKARRFEPa 20 301 351 4 vVVGKt 20 308 362 4 qQGLDc 20 311 369 6 vAQFPFAa 20 323 387 1 sGf 20 332 397 5 dNHLILg //
================================================== MAXHOM-STRIP ===================================================== test sequence : /home/phd/server/work/predict_h14790.phdDssp list name : /home/phd/server/work/TOPITS_DB.list last name was : /home/phd/server/pub/topits/dssp/2pde.dssp seq_length : 339 alignments : 1897 sort-mode : ZSCORE weights 1 : NO weights 2 : NO smin : -1.00 smax : 2.00 maplow : 0.00 maphigh : 0.00 epsilon : 0.00 gamma : 0.00 gap_open : 2 gap_elongation : 0.2 INDEL in sec-struc of SEQ 1: YES INDEL in sec-struc of SEQ 2: YES NBEST alignments : 1 secondary structure alignment: NO =================================================== SUMMARY =========================================================== IAL VAL LEN IDEL NDEL ZSCORE %IDEN STRHOM LEN2 RMS SIGMA NAME 1 189.93 322 31 14 5.57 0.34 0.68 495 -1.00 0.000 1tdj MOL_ID: 1; . 2 104.73 312 75 27 2.35 0.28 0.58 397 -1.00 0.000 2tys_B MOL_ID: 1; . 3 102.13 309 166 35 2.25 0.34 0.33 566 -1.00 0.000 2kau_C MOLECULE: KLEBSIELLA AEROGENES UREASE; . 4 101.87 326 138 29 2.24 0.27 0.39 602 -1.00 0.000 1cii MOL_ID: 1; . 5 101.73 320 129 36 2.24 0.33 0.43 727 -1.00 0.000 1req_A MOL_ID: 1; . 6 101.27 316 74 27 2.22 0.29 0.38 530 -1.00 0.000 2frv_B MOL_ID: 1; . 7 101.13 322 140 34 2.22 0.30 0.36 605 -1.00 0.000 1aor_A ALDEHYDE FERREDOXIN OXIDOREDUCTASE PROTEIN COMPLEXED WITH . 8 100.67 304 83 28 2.20 0.28 0.43 399 -1.00 0.000 1rom MOL_ID: 1; . 9 100.53 305 102 33 2.19 0.30 0.40 404 -1.00 0.000 1psd_A D-3-PHOSPHOGLYCERATE DEHYDROGENASE (PHOSPHOGLYCERATE . 10 99.80 310 112 31 2.17 0.32 0.41 678 -1.00 0.000 1trk_A TRANSKETOLASE (E.C.2.2.1.1) . 11 99.60 310 121 34 2.16 0.31 0.31 757 -1.00 0.000 1kit MOL_ID: 1; . 12 99.20 330 135 31 2.14 0.27 0.32 839 -1.00 0.000 1yge MOL_ID: 1; . 13 98.07 310 84 31 2.10 0.29 0.34 376 -1.00 0.000 1bhe MOL_ID: 1; . 14 97.93 304 96 29 2.10 0.31 0.44 418 -1.00 0.000 1uae MOL_ID: 1; . 15 97.33 318 107 32 2.07 0.27 0.47 442 -1.00 0.000 1mro_B MOL_ID: 1; . 16 97.13 318 150 34 2.07 0.31 0.41 870 -1.00 0.000 1dik MOL_ID: 1; . 17 97.13 298 109 33 2.07 0.28 0.35 561 -1.00 0.000 3pmg_A MOL_ID: 1; . 18 96.73 323 94 26 2.05 0.26 0.39 401 -1.00 0.000 1fcd_A FLAVOCYTOCHROME C SULFIDE DEHYDROGENASE (FCSD) . 19 96.60 323 147 40 2.05 0.30 0.40 698 -1.00 0.000 1aa6 MOL_ID: 1; . 20 96.60 318 83 26 2.05 0.28 0.35 458 -1.00 0.000 1lvl DIHYDROLIPOAMIDE DEHYDROGENASE (E.C.1.8.1.4) COMPLEX WITH . ==================================== ALIGNMENTS =================================== 1 - 51 ....:....1....:....2....:....3....:....4....:....5 pred MCAQYCISFADVEKAHINIQDSIHLTPVLTSSILNQIAGRNLFFKCELFQK HHHHHHHHHHHHHH HHHHH EEEEEE OOOOBOBBBOOBOOBOOOBOOBBOOBBBOOBOOBBOOBOBOBBBOOOOOOO HLHHLLELHLLLLHLHHLHLLLLLLLHHHHHHHHLHHLLLLHHHHLHHHLL A Y V A TP L S N I K E Q 1. 1tdj 189.93 AEY...LRAVLRAPVY..EAAQVTPllSSRLDNVI.....LVKREDRQP HHH...HHHHHHLLHH..HLLLLLLEHHHHLLLEE.....EEELHHHLL E A Q L AGR KC L K 2. 2tys_B 104.73 ALNQLEEAFVRAQKDPEFQAQF.ADLLKNYAGrtALTKCqlYLK HHHHHHHHHHHHHLLHHHHHHH.HHHHHHLLLLLLEEELLEEEE AD E I D L VLT I I K F K 3. 2kau_C 102.13 VRLADTE.LWIEVEDDLtlAavLTNaiVDhiVKADIGVkgRIFak EELLLLL.LEEELLEELLLHHEEEEEEEELEEEEEEEEELEEEEL A I Q L L IAG L ELF 4. 1cii 101.87 LRAGNADAADITRQEFRLLQAELREYGftEIAGYdlRLHTelFAD HHHLLLLHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH AD E A D S LNQ A R FF F 5. 1req_A 101.73 ADIEMAY.TLADGVDYIRAGESVGLnqFAPRLSFfgMNFFME HHHHHHH.HHHHHHHHHHHHHHLLLLHLHHHEEEELLLHHHH C Y A V I L LT Q LF 6. 2frv_B 101.27 VC.TYVHALASVRAVdvKIPENATLMRNLT..MGAQYMHDHlfYH...LHA LL.LLHHHHHHHHHHHLLLLHHHHHHHHHH..HHHHHHHHHHHHH...LLH F I L L G L K 7. 1aor_A 101.13 RfvNLSTGDIKVEE...YDEELAKKWLGS.RGLAIY....LLLK EEEELLLLEEEEEE...LLHHHHHHHLLL.HHHHHH....HHHH S A H S L V TS Q A F Q 8. 1rom 100.67 SLAWLVTKHKDvaTSEKLSKVRtsASGKQAaaKPTFVDMdmHQR LEEEEELLHHHHHHLLLEELLLLLHHHHHHLLLLLHHHLLHHHH A Y I F D E AHI HLT V T L A R F F 9. 1psd_A 100.53 AGYtiEFhdDEqahiGLRSRTHLTevitNQvlDAAAKRGivFN.APFSN LLLLEEELLHHHLLEEELLLLLELHHHLLLEHHHHHLLLLEEL.LLLLL F D K I I S H PVL S N G 10. 1trk_A 99.80 QFTDIDksTIRiaNSGhmApvLWSQmiNrsNGHAVALLYSMLHL LLLHHHHHHHHHHLLLLHHHHHHHHLLLLLLHHHHHHHHHHHHH I A N Q I T V S QIAG EL 11. 1kit 99.60 IFYSVYDVASGNWQAPIDVtqVKERSF..QIAG...WGGSELYRR EEEEEEELLLLEEEEEEELHHHLLLLE..EEEL...LLEEEEEEE I F A I L S L I F C 12. 1yge 99.20 SAFNIHFegIPGAFY.IKNYMQVEFFLKSLTLEAISNqtIRFVCNSWvn EEEEEEEELLEEEEE.EEELLLLLEEEEEEEELLLLLLLEEEEEEEEEE C AD A IQ L AG F L 13. 1bhe 98.07 PSSCTTlaDSSTATSTIQKALNNCDQGKAVRLS..AGssVFLSGPLSLP LLEEEEELLLLELHHHHHHHHLLLLLLLEEEEE..LLLLEEEELLEELL A I FA IQ L V TS L QI RN F C K 14. 1uae 97.93 AALPILFAalAEEPVEIQNVPKLKDVDTskLLSqiDArnVF..CAPYdk HHHHHHHHHHELLLEEEELLLLLHHHHHHHHHHHEELLLLL..ELLHHL I I I T V I N C 15. 1mro_B 97.33 ALSPLRNPAisIVQGIKRtaVNLEGIENALKTAKvgPACKIMGR HHLLLLLHHHHHHHHHHHEEEEHHHHHHHHHHLLLLLLLLLLLL C Y S IQD I TP L S ILN G N E F K 16. 1dik 97.13 CTEYYNSGKQITQ...EIQDQIfitpLLVstILNL..GLN.DVAVEGfkK HHHHHLLLLLLLH...HHHHHHHHHEELEEEEEEE..LLL.LLHHHHHHH C K P T I RN F K EL 17. 3pmg_A 97.13 ICPDLKVDLGVLGKQQFDLEN..KFKP.FTVEIVDSVEarNIflK.ELLSG ELLLLLLLLLLLEEEEELLLL..LLLL.EEEEEELLLHHHLLLHH.HHHHL A Y I AD I T T N G K 18. 1fcd_A 96.73 AKY.IKLADPSIEVTLIEPN...TDYYTCYLSNEVIGGD........RK HHH.HHHHLLLLEEEEELLL...LLEELLLLHHHHHHLL........LL CA CI A N Q L NQI L K 19. 1aa6 96.60 CASGciNlaEAAQGKTN.QGTLCLKGYYGWDFInqILTPRL..KTPMIRR ELLLLEEEEEELLLLLL.LLLLLHHHHHLLHHHHLLLLLEL..LLLEELL A I L LN I L E F 20. 1lvl 96.60 AAIRAGQLGIPTVLVEGQALGGTCLncIPSKALIHVAEQFHQ HHHHHHHHLLLEEEELLLLLLHHHHHHHHHHHHHHHHHHHHH ================================== ALIGNMENTS ================================== 51 - 101 ....:....1....:....2....:....3....:....4....:....5 pred KTGSFKIRGALNAIRGLIPDTPEEKPKAVVTHSSGNHGQALTYAAKLEGIP EE HHHHHHHH HHH EEEEE HHHHHHHHHHHH OBOBBOBBBBBBBBOOBOOOOOOOOOOBBBBBBBBBBBBBBBBBBOOBBBO LLLLLLHLLHHHHHHLLLLLLLLLLLLHEEELLLLLLLHHHHHHHHHLLLL SFK RGA GL T E K V T S GNH Q A L G 1. 1tdj 189.93 PVHSFKLRGAYAMMAGL...TEEQKAHGVITASAGNHAQGVAfsARL.GVK LLLLLLHHHHHHHHHLL...LLLLLLLLLEEEELLLLHHHHHHHHHL.LLL K GA N GL K G HG A A L G 2. 2tys_B 104.73 KREDLLHGGatNQVLglLA.KRMGKSEIIAETGAGQHGVASALASALLGLK EEHHHLLLLEHHHHHHHHH.HHLLLLEEEEEELLLHHHHHHHHHHHHHLLE K G I GA A G I DTP A VT G G A T A P 3. 2kau_C 102.13 kAGNPDIqgavIAAEGKIvdtpQQAEEALvtMVGGGTGPAatHATTCTPGP LEELLLLLLLEEELLLLEEEELHHHHHHHHEEEEELLLLLHHHHLLLLLHH S I A NA EE K T S N G AL A L 4. 1cii 101.87 DADSLRikDAQNADKKAADMLAeeRRKGIltRLskNGGAAL...AVLDAQQ HLLLLLLHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH...HHHHHHH K R A L PK THS G LTYAA 5. 1req_A 101.73 EVA..KLRAARMLWAKLVHQFGPKNPksLRTHSQTS.GWSLtyaahTNSLD HHH..HHHHHHHHHHHHHHLLLLLLHHLLLEEEEEL.HHHLLLHHELLLLL ALNA L P T E K KA V SG G T A L G P 6. 2frv_B 101.27 ALDWVNVANALNaaNDLSptTTeaKVKALV..ESGQLG.IFTNAYFLGGHP HHHLLLHHHHHHLHHHHLLLLHHHHHHHHH..LLLLLH.HHLLLLLLLLLL K L LIP T P VVT S GN G K G 7. 1aor_A 101.13 KEMDPTV.DPLSPENKLipLTGTSAPtnVVTKstgnSGGYFGAELKFAGYD HHLLLLL.LLLLLLLLEELLLLLLLLLEEEEELLLEELLLHHHHHHHLLLL F A I T N L L P 8. 1rom 100.67 RspTF.TPEAVKNLQPYIQRTVDDLLEQMKQKGCANGPVDLVKEFALP.VP HLHHH.LHHHHHHLHHHHHHHHHHHHHHHHLLLLLLLLEEHHHHLLLH.HH T S I L RG PE KA N A AKL GI 9. 1psd_A 100.53 NTRslVIGELLLLLRGV....PEANAKA..HRGVWNKLAAGSFEakL.GII LHHHHHHHHHHHHHLLH....HHHHHHH..LLLELLLLHHHLLLLEE.EEE TG I L R L P PEE P VT G GQ AA L P 10. 1trk_A 99.80 LTgdLSI.EDLKQFRQltPGHPeeLPGVEVT..TGPLGQGISNaaNLAAtp HLLLLLH.HHHLLLLLLLLLLLLLLLLLLLL..LLLLLHHHHHHHHHHHHL S KIRGA N I K VVT S G A L G 11. 1kit 99.60 RNTSlkIrgAANQIQ.....VADGSRKYVVTLSIDESGGLV...ANLNGVS EELLLEEEELLEEEE.....EEELLEEEEEEEEELLLLLEE...EEELLLL T K R P E P V GN G Y 12. 1yge 99.20 nTKLYK......SVRIFFANhpSETPAPLVSYrrGntGERKEY.DRIYDYD EHHHLL......LLEEEELLLHHHLLHHHHHHHHLLLLLLLLL.LLLLLEE GS I G L A E P V G G 13. 1bhe 98.07 PSgsLLikgtLRAVNN..AKSFENAPSsgVVDKNG............KGCD LLLEEEELLEEEELLL..LHHHELLLLLLLEELLL............LLEL KT R A L G L LE 14. 1uae 97.93 kT....MRASIWALGPLVARFGQGQVSLPGGCTIGARPVDLHI.SGLEQLG LL....LLHHHHHHHHHHHHHLEEEEELLLLLLLLLLLLHHHH.HHHHHLL I G I I T A V S A YAA L 15. 1mro_B 97.33 RELDLDIVGNAESikEMIQVTEDdgKRALVQVPSARFDVAAEyaAPLVTAT LLLLLLLHHHHHHHHHHHLLLLLLHLEEEEELLHHHLLLLLLLHHHHHHHH KTG R A R I VV H A K EG 16. 1dik 97.13 KTGNP..RFAYDSYRRFIQMYSD.....VVMEVPKSHFEKIIDAMKEegV. HHLLH..HHHHHHHHHHHHHHHH.....HLLLLLHHHHHHHHHHHHLLLL. KIR A G AV G H LTYAA L 17. 3pmg_A 97.13 GPNRLKIR..IDAMHGVveELGAPANSAvlEDFGGHHPDplTYAADL.... LLLLLLEE..EELLLLLLLLLLLLHHHEELLLHHHLLLLLLLLLHHH.... K S K G L A G D K V G G L YAAKL 18. 1fcd_A 96.73 KLESIK.HggLRA.HgvVHDSAtdPDKKLVKTAGgaPGIELIyaAKLP..H LHHHHE.ELHHHL.LLEELLLEELLLLLEEEELLLLLLEEELLLLLLL..L K ALN E P A T SS G Y A P 19. 1aa6 96.60 RQRGGKLeeALNYVAERLSAIKEkgPDAIQTtsSRGTGNETNYvaRVXHGP LLLLLLLEHHHHHHHHHHHHHHHHLHHHEEEELLLLLLHHHHHHHHHHLHH F L A LI K V G HG A L G 20. 1lvl 96.60 QASRFTEPSPLgaSPRliGQSVAWKDGIVDRLTTgkHGVKVvwAKVLDG.. HHHHLLLLLLLLLLLLLHHHHHHHHHHHHHHHHHHHLLLEEELEEEEEL.. ================================== ALIGNMENTS ================================== 101 - 151 ....:....1....:....2....:....3....:....4....:....5 pred PAYIVVPQTAPNCKKLAIQAYGASIVYCDPSDESREKVTQRIMQETEGILV EEEEE HHHHHHHHHHH EEEEE HHHHHHHHHHHHH EEE OBBBBBBOOOBOBOBOBBOOOBBOBBBBBOOOOOBOOOBOOBOOOOOOOBB LLHEELLLLLLLHHHHHHHLLLLLEEELLLLLLLHHHHHHHHHHLLLLEEE A IV P K A G DE K G V 1. 1tdj 189.93 KALIVMPTATADIKVDAVRGFGGEVLLHGAndEAKAKAIE..LSQQQgtWV LEEEELLLLLLHHHHHHHHHHLLEEELLLLLHHHHHHHHH..HHHHHLEEL I V PN GA V C D S T M T G 2. 2tys_B 104.73 KCRIyvERQSPN..VFRMRLMGAEvvhcNerDWSGSYETAHYMLGtaGPHP EEEEEHHHLHHH..HHHHHHLLLEEELHHHHHHHHHLLLEEELLLLLLLLL P YI A I G V P D RE V G 3. 2kau_C 102.13 PWYISRMLQAADSLPVNIGLLGKGNVS.QP.DALREQVAAGVI....GLKI HHHHHHHHHHHLLLLLEEEEEEELLLL.LH.HHHHHHHHHLLL....EEEE A QT N AI S R TQ Q G V 4. 1cii 101.87 QARLLGQQT.RNDR..AISEARNKLSSVTEsnTARNALtqQLTQqpDgtIV HHHHHHHHH.HHHH..HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH I P A N Q G V DP S E T QE EGI 5. 1req_A 101.73 DEAIALprIARNTQLFLQQESGTTRVI.DPWSGsvEELTWDliQEVegIPK LLLLLLLHHHHHHHHHHHHLLLLLLLL.LLLLLLHHHHHHHHHHHHHLHHH PAY TA L QA A TQ G 6. 2frv_B 101.27 PAYVLPAetAHYLEALRVqaARAMAIF.....GAKNPHTQ..FTVVGGCTN LLLLLLLLHHHHHHHHHHHHHHHHHHH.....HLLLLLLL..LEELLEELL A IVV A K I AS E E I 7. 1aor_A 101.13 DA.IVVEGKAEkiKDEHIEIRDASHIWGKKVSETEATIRKEVGSEKVKisI LE.EEEELLLLLEELLEEEEEELLLLLLLLHHHHHHHHHHHHLLLLLEEEL P YI VP T N AI G S S E V QR IL 8. 1rom 100.67 PSYIivplTQQN....AIRTNGSSTAR.EASAANQelVEQRLVEPKDDilC HHHHHLLHHHHH....HHHHLLLLLHH.HHHHHHHHHHHHHHHLLLLLHHH Y L I A G D V Q M V 9. 1psd_A 100.53 IGYGHIG......TQLGILalGMYVYFYDIENknATQV.QHlmSDVVSLHV ELLLLLH......HHHHHHHLLLEEEEELLLLLLLEEL.LLHHLLEEEELL P A KL I Y D E V R E G V 10. 1trk_A 99.80 pGFTliSSEASshLKLgiAIYDDNKITIDGATSIseDVAKRY..EAYGWEv LLELLHHHHHHHHLLLLEEEEEELLEELLEEHHHLLLHHHHH..HHHLLEE A I Q Y A D S E R V Q I G LV 11. 1kit 99.60 SAPIILQSEHAKVHSfeLQ.YSatTLFVDgsQEnrLHV.QKIVLTQQGhlv LLLEEEELLHHHHLLLEEE.EELEEEEELLLLLEEEEE.EEEEEEELLEEE Y KLA G S P D EK L 12. 1yge 99.20 DVYNDLGNPDKS.EKLARPVLGGSSTFPYptDPNTEKQGEVFYVPRDENLG ELELLLLLLLLL.HHHLLLLELLLLLLLLLLLLLLELLLLLLLLLHHHLLL A I TA I YG D KV 13. 1bhe 98.07 DAFI....TAVSTTNSGI..YGPGTI..DGQGGVkkKVSWWELAADAKVKK LLLE....EEELLELLEE..ELLLEE..ELLLLLLLLLLLLHHHHHHHHHL A I A L GA IV D T IM TEGI 14. 1uae 97.93 GATIKLEekASVDGRLK....GAHIV....MDKVSVGATVTImaAtegiIE LLEEEEELEEELLLLLE....LLEEE....LLLLLHHHHHHHHHHLELEEE A I V N K A Y S Y Q E GI V 15. 1mro_B 97.33 TAfiivSMYDANMVKAAVLgyPQSVEYMGANIATMLDIPQKL..EGPgiMV HHHHHLLLLLHHHHHHHHHLLLLLLLLLLLLEELLLLLHHHL..LLLLLLH TA K LA A VY E M 16. 1dik 97.13 ..HFDTDLTADDLKELA.EKFKA..VYKEagEEFPQEPKDQLMGAVKAVFR ..LLHHHLLHHHHHHHH.HHHHH..HHHHLLLLLLLLHHHHHHHHHHHHHH V T K GA D R G V 17. 3pmg_A 97.13 ....V..ETM....KSGEHDFGAAF....DGDGDRN.....MILGKHGFFV ....H..HHH....HLLLLLEEEEE....LLLLLLE.....EEEEHHHLEL A QTA K L A G V P RE Q I 18. 1fcd_A 96.73 HAWKAGEQTAILRKQLEDMADGGTVVIAPPAAPFreRASqyYLKasKVIIL LLLLLLHHHHHHHHHHHHLLLLLLEEEELLLLLLLHHHHHHHHHHLLEEEE P Q N AI V P D S V I V 19. 1aa6 96.60 PSVAGLHQSVGN.GAmaINEIDNtlVfyNPAD.SHPIVANHVirNGAKIIv HHHHHHHHHHLL.LLLLHHHHHHLEEELLHHH.HLHHHHHHHHHLLLEEEE V C L A G S V P V TE 20. 1lvl 96.60 .KQVEVDGQRIQCEHL.LLATGSSSVE.LPMLPLGGPV....ISSTEALAP .LEEEELLEEEELLEE.EELLLEEELL.ELLELLELLE....ELHHHHLLL ================================== ALIGNMENTS ================================== 151 - 201 ....:....1....:....2....:....3....:....4....:....5 pred VHPNQEPAVIAGQGTIALEVLNQVPLVDALVVPVGGGGMVAGIAITIKALK EE EE HHHHHHHHHH EEEEE HHHHHHHHHHHHHH BBBBOOBBBBBBBBBBBBOBBOOBOOBOBBBBBBBBBBBBBBBBBBBOOBO ELLLLLLHHHLLLLLHHHHHHLLLLHLLHHEELLLLLLHHLLHHHHHHHHL V P P VIAGQGT ALE L Q D VPVGGGG AG A IK L 1. 1tdj 189.93 VPPFDHPMVIAGQGTLALELLQQDAHLDRVFVPVGGGGLAAGVAVLIKQLM LLLLLLHHHHHHHHHHHHHHHHHLLLLLEEEEELLLLHHHHHHHHHHHHHL P E G T A L L DA VGGGGM A I 2. 2tys_B 104.73 PYPtrEFQRMIGEETKA.QILdeGRLPDAVIACVGGggMFADF...IN..D LHHHHHLLLHHHHHHHH.HHHHHLLLLLEEEEELLLLHHHHHH...LL..L H PA I T A E LN V GGGG I IT A 3. 2kau_C 102.13 IHEdaTPAAIDCALTVADEmlNESGFVEDTLAAIggGGHAPDI.ITACA.H EEHHLLHHHHHHHHHHHHHHLLLLLLHHHHHHHHLLLLLLLLH.HHHHH.L V P P V G GTI V L G 4. 1cii 101.87 VSPEKFPgvVSGdgTIKiaVIDNRANLNYLLSHSgrNILNDRNPVVTEDVE HLLLLLLEELLLLLEEEEEEELLHHHHHHHHLLLHHHLLLLLLLLLLLLHH E A I GQ I L P D V V A A A 5. 1req_A 101.73 KMRIEEAAaisgqPLIGVnrLEHEPPLD..VLKVDNSTVLAekavKLRAER HHHHHHHHHHHLLLLELLLLLLLLLLLL..LLLLLHHHHHHHHHHHHHHHL P IA EV QV D L V G AGI T L 6. 2frv_B 101.27 NYDSLRPERIAEFRKLYKEviEQVYITDLLAVA....GFyaGIGKTSNFL. LLHHHLHHHHHHHHHHHHHHHHHLHHHHHHHHH....HLLHHLLLLLLEE. P E A AG G IA E VP D LVVPV GGG G A 7. 1aor_A 101.13 IGPAGeaAImaGRgaIAVEGSKTVPIAdmLVvpVAGGGLPkgTAVLVNIIN LLHHHHELEEELLLEEEEELLLLLLLLLHHHHHHHHLHHHHLHHHHHHHHH P I L L V G MV IA L 8. 1rom 100.67 CTEQVKPGNIDKSDAVQIAFL........LLVA.GNATMVNMIALGVATLA HHHLLLLLLLLHHHHHHHHHH........HHHL.LHHHHHHHHHHHHHHHH V N G I L L A G V IA K L 9. 1psd_A 100.53 VPENPSTKNMMGAKEISLMKPGSL.LINA......SRGTVVDiaLASKHlg LLLLLLLLLLELHHHHHHLLLLEE.EEEL......LLLLLELHHHHLLLEE V N A IA IA L P G G AG 10. 1trk_A 99.80 vnGNEDLAGIA..KAIAQAKLsdKPTLIKMTTTIGYGSLHAG......... ELLLLLHHHHH..HHHHHHLLLLLLEEEEEELLLLLLLLLLL......... V Q P V G N L A V P G G GIAI 11. 1kit 99.60 vlAQQTPEvlEKLGWTKIKTGNTMSLynASVNPGPGHGiiSgiaIVLDRFF EHHLLLLLLHHHHLLEEEEEELLEEEELLEEELLLLLLELLLEEEEELLLL H A G A E L P V L GG TI L 12. 1yge 99.20 GHLKSKDALEIGTKSlaFEslKSTPivHDLY..EGGIKLPRDVISTIIPL. LLLLHHHLHHHHHHHHHHHHLLLLLLHHHHH..LLLEELLHHHHHHHLLL. P I N V L VV G G A TIK 13. 1bhe 98.07 KLKQNTPRLIQINKSKNFTLYN.VSLINshVVFSDGDGFTA.WKTTIkgID LLEELLLLLEEEELLEEEEEEE.EEEELLLEEEELLEEEEE.EEEEEELEE EPA I GQGTI E V P G AI 14. 1uae 97.93 ENAAREpaKISGQGtiVIEGVERLGGGVYRVLpiETGTFLVAAAIS..... ELLLLLHLEEELLLLEEEELLLLELLEEEELLEHHHHHHHHHHHHL..... V NQ A I Q A E L D LV G G V IA AL 15. 1mro_B 97.33 VnknqAAAliLEQTAmaFERMHLLGlaDNLVFDlgKEGTvsVIalVERALE HHLLHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHLLLLLHHHHHHHHHHHH A I G GT A V V G G A TI A 16. 1dik 97.13 RSWDNPRAiiPGdgT.AVN.......VQTMVFGNKGETSGTGVAFtiNAQG HHLLLHHHHLLLLLE.EEE.......EEELLLLLLLLLLEEEEEEEELLLH V P AVIA Q V G A A K 17. 3pmg_A 97.13 VNPSDSVAVIAAN.IFSIPYFQQTG.VRGFARSMPTSGALDRVA...NATK LLHHHHHHHHHHL.HHHLHHHHHHL.LLLEEEELLLLLHHHHHH...HLLL Q G GT P D VV V GG M A KAL 18. 1fcd_A 96.73 LDSSQTfeRLYGFGT.ENAMIEWHPGPDSAVVKVDGGEMMVETAfeFKalI ELLLLLLHHHHLLLL.LLLLEEEELLLLLLEEEEEELLLEEEELLEEELEL V P E A IA IAL L A V G V G IT A 19. 1aa6 96.60 vdPRkeTARIADM.HIALKNGSNIALLNAmfVASRTEgiVEGydItvSaiR ELLLLHHHHHLLE.EELLLLLLHHHHHHHHHHHHHEELHHLLLHHHLLHHH V G G I LE L QV V A P A A KAL 20. 1lvl 96.60 PKALPQHLVVVGGGYIGLEllaQVSVVEarILPTYDSELTAPVAESLkaLh LLLLLLEEEEELLLHHHHHHHLEEEEELLLLLLLLLHHHHHHHHHHHHEEE ================================== ALIGNMENTS ================================== 201 - 251 ....:....1....:....2....:....3....:....4....:....5 pred KPSVKVYAAEPSNADDCYQSKLKGELTPNLHPPETIADGVKSSIGLNTWPI EEEEE HHHHHHHHH E EE E HHHHHH OOOBOBBBBOBOBBBBBOBBBOOOOOBBOBOOBOBBBOBBBBOBBOOBBOB LLLLLEELLLLLLLLHHHHHHHLLLLLLLLLLLLHHHLLLLLLLLLLLLLH P KV A E C L L A GV IG T 1. 1tdj 189.93 MPQIKVIAVEAEDS.ACLKAALDAGHPVDLPRVGLFAEGVakRIGDETFRL LLLLEEEEEEELLL.LHHHHHHHHLLLLLLLLLLLLLLLLLLLLLLHHHHH SV EP LKG P I S GL P 2. 2tys_B 104.73 DTSVGLIGVEPGgeTGEHGAPLkgMKAPMMQTAdqIEESYSISAGLD.FPS LLLLEEEEEEEEEHHLELLLHHHEEEEEELELLLLELLLLLLLHHHL.LLE P PS L LH IA V S I T 3. 2kau_C 102.13 HPNIL.....PSSTNPTLPYTLN.TIDEHlhLDPDIAEDveSRIRRETIA. LLLEE.....EEELLLLLLLELL.HHHHHHLLLLLLHHHHHHHLLHHHHH. K Y AE D Q L L D K I I 4. 1cii 101.87 EGDKKIYNAEVAEWDKLRQRLlrNNLSARTNEQKHANDAlkENIRNQLSGI HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH KV AA N DD LKGE L TI GV S NT 5. 1req_A 101.73 RDPEKVKAaaAGNPddPDRNLLkgEMSDAlyTAqtIS.GVYSKEVKNTPEv LLHHHHHHHHHHLLLLHHHLHHHHHHHHHHLLLLLLL.LLHHHHLLLLHHH YQ G P I VK S G 6. 2frv_B 101.27 ..TCGEFPTDEYDLNSRyqGVIWGNDLSKVDdpDLIEEHVKYSwgAGAHHP ..ELLELLLLLLLHHHLLLEEEELLEEEEEELHHHEEEELLLLLLLLLELH VKVYA E S CY L GEL NL IA GL T 7. 1aor_A 101.13 NEnvkvyaYEQSGekPCYanRLpgelGANlnDLASiaNHMCDELGLDTIST HHLELLLHHHHLHHELLLLEEELEEHLHHHLLHHHHHHHHHHHHLELHHHH AA PS A CY I D V G 8. 1rom 100.67 AQHPDQLaaNPSLAPqcyHTASALAIKRTAKEDVMIGDkvRANEGisNQSA HHLHHHHHHLHHHHHHHHLLLLLLLLEEEELLLELLLLLELLLLEELHHHH V EP D S L LTP A IGL 9. 1psd_A 100.53 gAAIDVFPTEPATNSDPFTSPlnVLLTPHIGGSTQEA...QENIGLEVAGK EEEELLLLLLLLLLLLELLLHHLEEELLLLLLLLHHH...HHHHHHHHHHH S V A P ADD Q K K P P D IG N W 10. 1trk_A 99.80 ..SHSVHGA.PLKADDVKQLKSKFGFNpsFVVPQEVYDHYQKTigvnKWNK ..LHHHLLL.LLLHHHHHHHHHHLLLLLLLLLLHHHHHHHHHHLHHHHHHH V Y SN Q G P I KSS L T P 11. 1kit 99.60 FLNvsIYSDdgSN....WQT...GSTLP.......IPFRWKSSSILETlpS LEEEEEEELLLLL....LEE...EEELL.......LLLEEEELLEEELLEE P K Y Q T E IA GV GL PI 12. 1yge 99.20 .PVIklYRTDGQhqPHVVQVSQSAWMTDEEFAREMIA.GVNPCvgLEEFpi .LLHHHLEELLLLLLHHHLLLLLHHHLHHHHHHHHHH.LLLLLLELLLLLL PS K SN DD K KG T NLH G SIG T 13. 1bhe 98.07 DpsSKNITIAYSngDDNVAIkyKGRatRnlH..NDFGTGHGMSIGSETMGV EELLEEEEEELLELLLLEEEELLLLLEEEEE..EEELLLLLEEEEEEELLE K A P D KL I G I L 14. 1uae 97.93 ..RGKIinAQPDTLDA.VLAKLR.......DAGADIEVG.EDWISLDMHG. ..LLEEELLLHHHHHH.HHHHHH.......HLLLEEEEL.LLEEEEELLL. VKVY Y G A GV S L 15. 1mro_B 97.33 EDGvkVYGTDDLAMWNAYAA..AGLMAATmqGAARAAQGVSSTldLIEFET HLLLEEEELLLHHHHHHHHH..HHHHHHHHHHHHLLHHHHHHHHHHHHHHH V V P DCY L L TI G G T PI 16. 1dik 97.13 GEDvgVRTPQpnDMPDCYKqdLAMKLEKHFRDMqtIEEglQTRNGKRTApi HHHHLLLLLEEHHLHHHHHHHHHHHHHHHLLLLEEEELLEELLELLLLHHH K Y P N D SKL GE T H E DG L 17. 3pmg_A 97.13 K..IALYE.TPtnLMD..ASKLsgegTGSDHIRE..KDGLWAVLalSILAT L..LLEEE.ELLHHHH..LLLLLEEEEEELLLLL..LLHHHHHHHHHHHHH P K A A C S IA KS N 18. 1fcd_A 96.73 IpaGKiiAGLTNDAGWcfESSIHKGI..HVIGDASIANPmkSGYSANSQGK LLELHHHHLLLLLLLLELEELLLLLE..EELLLLEELLLLLLHHHHHHHHH YA S A YQ L LT NL P V GL T P 19. 1aa6 96.60 RQAARMYAQAKSAatQFYqrSLtaMLTGNLGKPHAGVNPVRGqmgldTYPG HHHHHHHHHLLLEEHLLLLHHHHHHHLLLLLLLLLLEEELLLELLELEELL SV Y A D L EL P T G N I 20. 1lvl 96.60 hhSVEGYENGCLLANDGKGGQLRLelVAVGRRPRT..KGFNLelKMNGAAI ELEEEEEELLEEEEELLLLLLLEELEELLLEEELL..LLLLHHLLEELLEE ================================== ALIGNMENTS ================================== 251 - 301 ....:....1....:....2....:....3....:....4....:....5 pred IIRDLVDDVFTVTEDEIKYATQLVWGRMKLLIEPTAGVALAAVLSQHFQTV HHHHH EEEE HHHHHHHHHHHHH EEEE HHHHHHHHHHHH BBOOBBOOBBBBBOOOBBBBBOOBBOOBOBBBOBBBBBBBBBBOOOOOOOO HHHHHHLLHLLLLLLLHHHHHHHHLLLHHHHHLLLLLLHHHHHHHHHHLLL DD TV D I A EP ALA 1. 1tdj 189.93 LCQEYLDDIITVDSDAICAAMKDLFEDVRAVAEPSGALALAG.MKKYIALH HHLLLLLEEEEELHHHHHHHHHHHHHHLLLLLLHHHHHHHHH.HHHHHHHH D T DE A ALA L 2. 2tys_B 104.73 SvhAYLndYVSITDDEALEAFKTLCRHEGIIPALESSHALAHAL..KMMRE ELHHHHHEEEEEEHHHHHHHHHHHHHHHLLLELHHHHHHHHHHH..HHHHH D D F T E T V RMK I PT G ALA V S F V 3. 2kau_C 102.13 .AEDVLHDlfSLTsgEVILRTWQVAHRMKvtINptHGIalavVWSPAFFGV .HHHHHHHHLLEELLLHHHHHHHHHHHHHHLHHHHLLLLELEEELHHHLLL I D T D I T G L AG A AA LS 4. 1cii 101.87 INQKIAedELKATKDAINFTTEFlygkAEQLAREMAgaAIAAAlsVKLSDI HHHHHHHHHHHHHHHHHHHHHHHHHLHHHHHHHHHHHHHHHHHHLLLHHHH R LV F E I A Q R K A FQT 5. 1req_A 101.73 vaRELVEE.FEQAepRILLAkqDGHDrqKVIATAYADLGFDVDVGPLFQTP HHHHHHHH.HHHHHLEEEEELLLLLLHHHHHHHHHHHHLLEEEELLLLELH T E Y R K E LA VL 6. 2frv_B 101.27 PYKGVTKPKWTEFHGEDRY.SWMKAPRYK..GEAFEVGPLASVLVAYAKKH HHHLLLLELLLLLLELLEL.LLLLEEEEL..LELLELLHHHHHHHHHHLLL L E A WG LIE AG LA L 7. 1aor_A 101.13 TGGTLAteLyhIKDEELGDAPPFRWGNTEVliEKIagDKLAerLAESYGH. HHHHHHHHHHLLLHHHHLLLLLLLLLLLHHHHHHHHHHHHLLHHHHHLLL. RD VF DE K Q G E A L V S Q 8. 1rom 100.67 ANRD..EEVFE.NPDEfkWPPqfGFGDHRCIAEHLAKAELTTVFSTLYQKF HLLL..LLLLL.LLLLLLLLLLLLLHHHLLLLHHHHHHHHHHHHLLHHHHL D T G L IE GVAL Q QT 9. 1psd_A 100.53 KLIKYSDNGSTLSAVNFPEVSLPLHGGRRLmieNRPGvaLNKIfaQYLQT. HHHHHHHHLLLLLLLLLLLLLLLLLLLLEEEEELLLLHHHHHHHEEEEEE. F E A L G EPT AV TV 10. 1trk_A 99.80 KLFSEYQKKFPELGAEL..ARRL.SGQLPANWepTYTAKDSAVATRKleTV HHHHHHHHHLHHHHHHH..HHHH.HLLLLLLHHLLLLLLLLLEEHHHHHHH D V D T Q V GR L G L A F 11. 1kit 99.60 SEADMVedLL.LTA.RLDF.NQIVNgrQQFL.SKDGGItlEANNANVFSNI EEEEEEELEE.EEE.EELL.LLEELLEEEEE.ELLLLLLEEEEEHHHLLLL I D DD T E I YAT G KL AG L A SQ 12. 1yge 99.20 iTADSLddGYTMDehDitYATRTIlgTLklSLPHSAG.DLSAAVSQVVLPA LLHHHLLLLLLHHHHHHLLEEEEEELLEEEELLLLLL.LLLLLLLEEELLL VDD T K A V GRMK IE G F V 13. 1bhe 98.07 VYNVTVDDlmNGTTNGlkSAAGVVNgrmkiVieKKEGSNVPDWSDITFKDV EEEEEEEEEEELLLEEELLLLLEEEEEEEEEELLLLLLLLLEEEEEEEEEE R V T Q L E T G V F V 14. 1uae 97.93 .KRPKAVNVRTAPHPAFPTDMQAQFTLLNLVAEGT.GFITETVFENRFMHV .LLLELLLEELLLLLLLLHHHHHHHHHHHHHLELE.EEEELLLLLLLLLHH VD F V G GVA A L Q 15. 1mro_B 97.33 TGLPSVD..fkVEGTAVGFssHSIYggNHIVTRHSKgvAAAMALDAGTQMF HLLLLHH..HHHHHHHHHHHLLLLLLLLLLLLLLLLLHHHHHHHLLLLLLL I DLVD E E K QL L PTA A AAV T 16. 1dik 97.13 iACDLVDEGMITEEeeAKSLDQLLHPTFnlPASptADEAKAavILVRLET. HHHHHHHLLLLLHHHLHHHHHLLLLLLELEEEELLHHHHHLLEEEEELLL. V D FT E E AT L G AV V 17. 3pmg_A 97.13 TRKQSVEDiftyEEVEAEGATKMMKDLEALMFDRsvGKQFSavYteYHDPV HHLLLHHHHEEEEEELHHHHHHHHHHHHHHHHLLLLLLEEEEEEELEELLL V E T P G AA 18. 1fcd_A 96.73 KVAAAAVVVLLKGEEP...GTPSYLNTCYSILAPAYGISVAAIYRPNAdsA HHHHHHHHHHHHLLLL...LLLLEEEEEEEEEELLEEEEEEEEEEELLLLL V D K A WGR L AG AA QTV 19. 1aa6 96.60 GYQ.YVKD....PANREKFAK..AWgrISELPHRAagEVRAAYieDPLQtv LLE.ELLL....HHHHHHHHH..HLLLHHHHHHHHHLLLLEEEELLHHHHH I D V V G M E AG A AAV V 20. 1lvl 96.60 IAIdsMHNVwdVAGEPMLAHRAMAQGEM..VAEIIAgaAIAAVCFTDPEVv ELLLLLLLEEHHHLLLLLHHHHHHHHHH..HHHHHLLLLLLEEELLLLEEE ================================== ALIGNMENTS ================================== 301 - 339 ....:....1....:....2....:....3....:....4....:....5 pred VSPEVKNVCIVLSGGNVDLTSLNWVGQAERPAPYQTVSV EEEEEE HHHHHHHHHHHHH E OOOOOOOBBBBBBBBBBOBBOBOOBOOOBOOOOOOOBBB LLLLHHLHEEELLLLLLLHLLHHHHLLLLLLLLHHHHHE LSG NV L V E V 1. 1tdj 189.93 HNIRGERLAHILSGANVNFHGLRYVSegEQREALLAVTI HLLLLLEEEEELLLLLLLLLHHHHHHHHHLLEEEEEEEL PE VLSGG D A 2. 2tys_B 104.73 EQPEKEQLLVvlSggDKDIFTVHDILKARGE HLLLLLEEEEEELELHHHHHHHHHHHHLLLL V P V GG A P P Q V 3. 2kau_C 102.13 VKPA.....TVIKGGMIAIAPMGDI.NASIPTP.QPV LLLL.....EEEELLEEEEEEELLL.LLLLLLL.LLL S S G TSL W G A R V 4. 1cii 101.87 ISSNLNR....FSRgaGKFTSldWigKAVRTENWRPLFV HHHHHHH....HHHHLLLELLHHHHHHHHHLLLLHHHHH V VL GG L L G RP TV 5. 1req_A 101.73 PEETArdVHVvlAGGHLTlkELDKLG...RPDILITV HHHHHHLLLEELLLLHHHHHHHHHLL...LLLLEEEE P VK V VL V L G A R A Q V V 6. 2frv_B 101.27 HEPTVKAVDLVLKTLGVGPEAlsTLGraArtAA.QEVEV LHHHHHHHHHHHHHHLLLHHHLLHHHHHHHHHH.HHHHH PE L G Y T 7. 1aor_A 101.13 ..PELS.....MTVKKLELPAYDPRGAEGHGLGYAT ..HHHL.....LEELLEELLLLLHHHLHHHHHHHHH P K V L G T LN VG P 8. 1rom 100.67 F.PDLK.VAVPL..GKINYTPLNrvGIVDLPVIF L.LLLE.ELLLH..HHLEELLLLLLLEEELEEEL S V I V L QA P T 9. 1psd_A 100.53 .SAQMGYVViiEADEDVAEKAL....QAMKAIP.GTIR .LLLEEEEEEEELLHHHHHHHH....HHHHLLL.LEEE V V N L GG DLT N E Q S 10. 1trk_A 99.80 VLEDVYNQLPELIGGSADLTPSNLTRWKE.ALDFQPPS HHHHHHLLLLLEEEEELLLHHHHLLLLLL.LLEELLHH S I S G L N G Q 11. 1kit 99.60 ISTGTVDASItqSDGSHFLLFTNPQGNPAGTNGRQNLGL LLLLLLLLEEELLLLLEEEEEEELLLLLLLLLLLELLEE V L V L SLN E PA SV 12. 1yge 99.20 AKEGVESTIWLLAKAYvqLMslNTHAAME.paTHRHLSV LLLHHHHHHHHHHHHHHHHHHHLLHHHHH.HHHHHHLLL V E K V VL G N T N V V 13. 1bhe 98.07 VTSETKGV.VVLNGEniEVTMKNVKLTSDSTWQIKNVNV EEELLLLE.EEEELLLEEEEEEEEELLLLLEEEEELEEE V PE N IVLSG VDL A A TV 14. 1uae 97.93 V.PElsNTVivlSGAQvdLRASASLVLAGCIAEGTTV H.HHHLLEEELLELLEELHHHHHHHHHHHHHLEEEEE SPE IV S VD L V A A 15. 1mro_B 97.33 FSPEATSGLivFS..QVdrEPLKYVVEA..AAEIK LLHHHHLHHHHHL..LLHHLHHHHHHHH..HHHLL SPE GG TS V R VS 16. 1dik 97.13 .SPeiEGMhlTVRGG...MTSHAAV..VARGMGTCCVS .LHHHHHHHEELLLL...LLLHHHH..HHHHHLLEEEE V VKN G L G A T 17. 3pmg_A 97.13 VDGSvknlRLIFADGSRIIFRLSGTGSAG.....ATIRL LLLLELLEEEEELLLLEEEEEEEELLLLL.....EEEEE V SGG WV E Y 18. 1fcd_A 96.73 AIESVPD.....SGGVTPVDAPDWVLEREVQYAYSWYN LEEELLL.....LLEELLLLLLHHHHHHHHHHHHHHHH V V S V L S W G E A Q 19. 1aa6 96.60 vRKAFEDLELVisAADVILPSTSW.GEHetAagFQ HHHHHHHLLEEEHLLLEEEEELLH.HHLLELLEEE V PE CIV G L S V R Q V V 20. 1lvl 96.60 vtPEQASqcIvaNGRAMSLESKsfVRVVARRdgWQAVGV ELHHHHHHEEEHLHHHHHLLLLLEEEEEEELLEEEEEEL 20 184 135
# TOPITS (Threading One-D Predictions Into Three-D Structures) # -------------------------------------------------------------------------------- # FORMAT begin # FORMAT general: - lines starting with hashes contain comments or PARAMETERS # FORMAT general: - columns are delimited by tabs # FORMAT general: - the data are given in BLOCKS, each introduced by a line # FORMAT general: beginning with a hash and a keyword # FORMAT parameters: '# PARA:tab keyword =tab value tab (further-information)' # FORMAT notation: '# NOTATION:tab keyword tab explanation' # FORMAT info: '# INFO:tab text' # FORMAT blocks 0: '# BLOCK keyword' # FORMAT blocks 1: column names (tab delimited) # FORMAT blocks n>1: column data (tab delimited) # FORMAT file end: '//' marks the end of a complete file # FORMAT end # -------------------------------------------------------------------------------- # PARA begin # PARA TOPITS HEADER: PARAMETERS # PARA: len1 = 339 # PARA: nali = 1897 # PARA: listName = /home/phd/server/work/TOPITS_DB.list # PARA: sortMode = ZSCORE # PARA: weight1 = NO # PARA: weight2 = NO # PARA: smin = -1.00 # PARA: smax = 2.00 # PARA: gapOpen = 2 # PARA: gapElon = 0.2 # PARA: indel1 = YES # PARA: indel2 = YES # PARA: threshold = ALL # PARA: str:seq = 50 (i.e. str= 50%, seq= 50%) # PARA end # -------------------------------------------------------------------------------- # NOTATION begin # NOTATION TOPITS HEADER: ABBREVIATIONS PARAMETERS # NOTATION: len1 : length of search sequence, i.e., your protein # NOTATION: nali : number of alignments in file # NOTATION: listName : fold library used for threading # NOTATION: sortMode : mode of ranking the hits # NOTATION: weight1 : YES if guide sequence weighted by residue conservation # NOTATION: weight2 : YES if aligned sequence weighted by residue conservation # NOTATION: smin : minimal value of alignment metric # NOTATION: smax : maximal value of alignment metric # NOTATION: gapOpen : gap open penalty # NOTATION: gapElon : gap elongation penalty # NOTATION: indel1 : YES if insertions in sec str regions allowed for guide seq # NOTATION: indel2 : YES if insertions in sec str regions allowed for aligned seq # NOTATION: threshold : hits above this threshold included (ALL means no threshold) # NOTATION: str:seq : weight structure:sequence # NOTATION TOPITS HEADER: ABBREVIATIONS SUMMARY # NOTATION: id2 : PDB identifier of aligned structure (1pdbC -> C = chain id) # NOTATION: pide : percentage of pairwise sequence identity # NOTATION: lali : length of alignment # NOTATION: ngap : number of insertions # NOTATION: lgap : number of residues inserted # NOTATION: len2 : length of aligned protein structure # NOTATION: Eali : alignment score # NOTATION: Zali : alignment zcore; note: hits with z>3 more reliable # NOTATION: strh : secondary str identity between guide and aligned protein # NOTATION: ifir : position of first residue of search sequence # NOTATION: ilas : position of last residue of search sequence # NOTATION: jfir : pos of first res of remote homologue (e.g. DSSP number) # NOTATION: jlas : pos of last res of remote homologue (e.g. DSSP number) # NOTATION: name : name of aligned protein structure # NOTATION end # -------------------------------------------------------------------------------- # INFO begin # INFO TOPITS HEADER: ACCURACY # INFO: Tested on 80 proteins, TOPITS found the correct remote homologue in about # INFO: 30%of the cases. Detection accuracy was higher for higher z-scores: # INFO: ZALI>0 => 1st hit correct in 33% of cases # INFO: ZALI>3 => 1st hit correct in 50% of cases # INFO: ZALI>3.5 => 1st hit correct in 60% of cases # INFO end # -------------------------------------------------------------------------------- # BLOCK TOPITS HEADER: SUMMARY rank id2 pide lali ngap lgap len2 Eali Zali strh ifir ilas jfir jlas name 1 1tdj 34 322 14 31 495 189.93 5.57 68 3 339 10 341 1tdj MOL_ID: 1; . 2 2tysB 28 312 27 75 397 104.73 2.35 58 8 331 22 394 2tys_B MOL_ID: 1; . 3 2kauC 34 309 35 166 566 102.13 2.25 33 7 337 20 470 2kau_C MOLECULE: KLEBSIELLA AEROGENES UREASE; . 4 1cii 27 326 29 138 602 101.87 2.24 39 7 339 97 547 1cii MOL_ID: 1; . 5 1reqA 33 320 36 129 727 101.73 2.24 43 10 337 251 683 1req_A MOL_ID: 1; . 6 2frvB 29 316 27 74 530 101.27 2.22 38 1 339 61 421 2frv_B MOL_ID: 1; . 7 1aorA 30 322 34 140 605 101.13 2.22 36 8 336 7 441 1aor_A ALDEHYDE FERREDOXIN OXIDOREDUCTASE PROTEIN COMPLEXED WITH . 8 1rom 28 304 28 83 399 100.67 2.20 43 8 334 36 399 1rom MOL_ID: 1; . 9 1psdA 30 305 33 102 404 100.53 2.19 40 3 338 24 399 1psd_A D-3-PHOSPHOGLYCERATE DEHYDROGENASE (PHOSPHOGLYCERATE . 10 1trkA 32 310 31 112 678 99.80 2.17 41 8 338 1 399 1trk_A TRANSKETOLASE (E.C.2.2.1.1) . 11 1kit 31 310 34 121 757 99.60 2.16 31 7 339 306 693 1kit MOL_ID: 1; . 12 1yge 27 330 31 135 839 99.20 2.14 32 3 339 79 520 1yge MOL_ID: 1; . 13 1bhe 29 310 31 84 376 98.07 2.10 34 3 339 12 374 1bhe MOL_ID: 1; . 14 1uae 31 304 29 96 418 97.93 2.10 44 3 337 24 388 1uae MOL_ID: 1; . 15 1mroB 27 318 32 107 442 97.33 2.07 47 8 335 25 439 1mro_B MOL_ID: 1; . 16 1dik 31 318 34 150 870 97.13 2.07 41 2 338 46 468 1dik MOL_ID: 1; . 17 3pmgA 28 298 33 109 561 97.13 2.07 35 1 339 158 515 3pmg_A MOL_ID: 1; . 18 1fcdA 26 323 26 94 401 96.73 2.05 39 3 338 18 393 1fcd_A FLAVOCYTOCHROME C SULFIDE DEHYDROGENASE (FCSD) . 19 1aa6 30 323 40 147 698 96.60 2.05 40 2 335 11 463 1aa6 MOL_ID: 1; . 20 1lvl 28 318 26 83 458 96.60 2.05 35 10 339 20 408 1lvl DIHYDROLIPOAMIDE DEHYDROGENASE (E.C.1.8.1.4) COMPLEX WITH . //
END of results for file predict_h14790
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