| >Q9NX45 (143 residues) ELSLPGTVMAQRENSVMSTYSPERGLQFLTNTCWNGCSTPDAESSLDEAVRVPSSSASEN AIGDPYKTHISSAALSLNSLHTVRYYSKVTPSYDATAVTNQNISIHLPSAMPPVSKLLPR HCTSGLGQTCTTHPNCLQQFWAY |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | ELSLPGTVMAQRENSVMSTYSPERGLQFLTNTCWNGCSTPDAESSLDEAVRVPSSSASENAIGDPYKTHISSAALSLNSLHTVRYYSKVTPSYDATAVTNQNISIHLPSAMPPVSKLLPRHCTSGLGQTCTTHPNCLQQFWAY |
| Prediction | CCCCCCSSSSSCCCCCCCCCCCCCCSSSSCCCCCSSSCCCCCCCCHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCHHHHHHCCCCSSSSCCCCCCCHHHCCHHHHHHHHCCCCCCCCCHHHHHHCC |
| Confidence | 97666313442134421135752001121147621331677888623432478886543445651001376321232331035542487884334432057505655888873321472665322167678993278886439 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | ELSLPGTVMAQRENSVMSTYSPERGLQFLTNTCWNGCSTPDAESSLDEAVRVPSSSASENAIGDPYKTHISSAALSLNSLHTVRYYSKVTPSYDATAVTNQNISIHLPSAMPPVSKLLPRHCTSGLGQTCTTHPNCLQQFWAY |
| Prediction | 83423131334454422543442540420254214213134464314531514455346433453244404533342432210321353244463343445513141343334045133520442135415433502451277 |
| Values range from 0 (buried residue) to 8 (highly exposed residue) | |
| Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 | | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCCCCSSSSSCCCCCCCCCCCCCCSSSSCCCCCSSSCCCCCCCCHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCHHHHHHCCCCSSSSCCCCCCCHHHCCHHHHHHHHCCCCCCCCCHHHHHHCC ELSLPGTVMAQRENSVMSTYSPERGLQFLTNTCWNGCSTPDAESSLDEAVRVPSSSASENAIGDPYKTHISSAALSLNSLHTVRYYSKVTPSYDATAVTNQNISIHLPSAMPPVSKLLPRHCTSGLGQTCTTHPNCLQQFWAY | |||||||||||||||||||
| 1 | 4by2A | 0.11 | 0.10 | 3.55 | 0.54 | CEthreader | PSAAVFKREITNADGSKDIWYPNGNLKKISADGMNLRMLYFNKDIK-----------ETNIREGTVKYYYAETNTWHTSYLDGLEILEFPNGQTEHRRKDGTVEIHFPNNS---IKIVDPSDTEKLEEWRYADGTHLVQLRNG | |||||||||||||
| 2 | 5yy8A | 0.11 | 0.10 | 3.77 | 0.57 | EigenThreader | SPQYARSGLGTAENGAAGGYNTPRARFQAQLYVVGGSLSCGEYVPELRTNRCNAGSGLKNAPLNIRRHQSAVCELGGYLYIIGGAES--WNCLNTVERYNNTWTLAPNVA-------RRGAGFDGSHAISCVSPRSNAAVGGF | |||||||||||||
| 3 | 1vouH | 0.15 | 0.14 | 4.73 | 0.33 | FFAS-3D | PIAVPSGVTVNAQDGVFKVKGPKGELTVPYNTEL---TVRQDGDQL--LVERPSDAQKHRALHGLTRTLVANAVKGVSD--GYTINLELRGVGFRAKLTGKALEMNITFAVPEPTRIDVSGIDKQLVGQVAANVRKVRKPDAY | |||||||||||||
| 4 | 6emkG | 0.08 | 0.08 | 3.03 | 0.94 | SPARKS-K | -SSLHYASYHGRYLICLIQLGHDKHELIKTFKGNTCVHLALMKGHEQTLHLLLQQFPRFINHRGENGRAPIHIACMNDYYQCLSLMDTNTPLHVCLEYGSISCMKMLLNEGDNVRNWKPIDVAQTFE-----VGNIYSKVLKE | |||||||||||||
| 5 | 3scyA | 0.05 | 0.01 | 0.66 | 0.51 | CNFpred | -------------------------YLLVACRVIQIFERDQATGLLTDIKK----------------------DIKVDKPVCLKFVD-------------------------------------------------------- | |||||||||||||
| 6 | 4a01A | 0.03 | 0.02 | 1.28 | 0.67 | DEthreader | ---------------------LGGSS----------ALFGRGIAGMGSLFYASSCLVALTALYLIVSVGVCQLTLWAG--------YVIIFAISIFVSFIAVALGSTIATGIDATIGGFAIGSAL-L-LGAGAGSLSGIIASN | |||||||||||||
| 7 | 3bmzB | 0.06 | 0.06 | 2.69 | 0.87 | MapAlign | -RWSSAYVSYWSPMLPDDQLTSGYCWFDYERDICRIMSEVGNAASGRTWKQKVAYGRERTALGEQLCERPLDDETGPFAELFLPVLRRLGARHIGRRVVLGREADGWRYQRPGKGPSDAASGTPLRMVTGDEASRASLRDFPN | |||||||||||||
| 8 | 6hddA3 | 0.13 | 0.13 | 4.37 | 0.55 | MUSTER | EIYFEGSFPIETQVPAAYVVGPEKVGVVLIDGSIRAYPTQLINALLNRFIDNPFEPEVIAAINNE-NQRLGTSRIFAYKVNAA-GLLGAGTIDDLGRLLNIGPVFDVNSVDPALVKY--NDVTLWLGRKGILLDKSIEEVESR | |||||||||||||
| 9 | 4emcC | 0.25 | 0.07 | 2.17 | 0.82 | HHsearch | KRFLPQSVLIKREDEIADD------FHLDARKVLN-----------------DLSATSENPFS-------------------------------------------------------------------------------- | |||||||||||||
| 10 | 2oajA2 | 0.07 | 0.07 | 2.89 | 0.52 | CEthreader | ISGAQSACVTCIEFVIMEYYSSILMVCGTDMGEVITYKILPASGGKFDVQLMDIKIDAFSKETKSSCLATIPKMQNLSKGLCIPGIVLITGFDDIRLITLGKSKSTHKGFKYPLAATGLSYISTVEKNNDRKNLTVIITLEIN | |||||||||||||
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Top 10 structural analogs in PDB (as identified by
TM-align)
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Top 5 enzyme homologs in PDB
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Template proteins with similar binding site:
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| References: | |
| 1. | Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023. |