| >Q9BVC4 (140 residues) MNTSPGTVGSDPVILATAGYDHTVRFWQAHSGICTRTVQHQDSQVNALEVTPDRSMIAAA GYQHIRMYDLNSNNPNPIISYDGVNKNIASVGFHEDGRWMYTGGEDCTARIWDLRSRNLQ CQRIFQVNAPINAFNDSVLG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MNTSPGTVGSDPVILATAGYDHTVRFWQAHSGICTRTVQHQDSQVNALEVTPDRSMIAAAGYQHIRMYDLNSNNPNPIISYDGVNKNIASVGFHEDGRWMYTGGEDCTARIWDLRSRNLQCQRIFQVNAPINAFNDSVLG |
| Prediction | CCCCSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSCCCSSSSSSCCCCCSSSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSSCCCCCCSSSSSSSCCC |
| Confidence | 92134999699998999718991998267999488977488998899999899998999629959998888996000070358689879999889999899981899199948889945899833689878999983589 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MNTSPGTVGSDPVILATAGYDHTVRFWQAHSGICTRTVQHQDSQVNALEVTPDRSMIAAAGYQHIRMYDLNSNNPNPIISYDGVNKNIASVGFHEDGRWMYTGGEDCTARIWDLRSRNLQCQRIFQVNAPINAFNDSVLG |
| Prediction | 86144114145333000103331010330744533340511543120004136343001013310302206345543144050145343000004433200010443101032073453423414626330300102358 |
| 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 | CCCCSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSCCCSSSSSSCCCCCSSSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSSCCCCCCSSSSSSSCCC MNTSPGTVGSDPVILATAGYDHTVRFWQAHSGICTRTVQHQDSQVNALEVTPDRSMIAAAGYQHIRMYDLNSNNPNPIISYDGVNKNIASVGFHEDGRWMYTGGEDCTARIWDLRSRNLQCQRIFQVNAPINAFNDSVLG | |||||||||||||||||||
| 1 | 5nrlH | 0.23 | 0.22 | 6.96 | 1.50 | DEthreader | RKRLK-THPDSGKFIGSASHDMTWRLWDASTHQELLLQEGHDKGVFSLSFQCDGSLVCSGGMSLSMLWDIRS-G-SKVMTLAGHSKPIYTVAWSPNGYQVATGGGDGIINVWDIRKRDGQLNQILAHRNIVTQVRFSKED | |||||||||||||
| 2 | 5yzvA2 | 0.20 | 0.19 | 5.94 | 1.67 | SPARKS-K | DYVYAVAFSPDGSMVASGSRDGTIRLWDVATGKERDVLQAPAENVVSLAFSPDGSMLVHGSDSTVHLWDV--ASGEALHTFEGHTDWVRAVAFSPDGALLASGSDDRTIRLWDVAAQEEHTTLEGHTEPVH--------- | |||||||||||||
| 3 | 5yzvA | 0.21 | 0.19 | 5.90 | 0.37 | MapAlign | -----------GSMVASGSRDGTIRLWDVATGKERDVLQAPAENVVSLAFSPDGSMLVHGSDSTVHLWDVA--SGEALHTFEGHTDWVRAVAFSPDGALLASGSDDRTIRLWDVA--AQEEHTTLEGTEPVHSVAFHPE- | |||||||||||||
| 4 | 5mzhA | 0.21 | 0.20 | 6.37 | 0.26 | CEthreader | TEIVCLSFNPQSTIIATGSMDNTAKLWDVETGQERATLAGHRAEIVSLGFNTGGDLIVTGSFHDSRLWDVRT--GQCVHVLSGHRGEVSSTQFNYAGTLVVSGSIDCTSRLWDVRS--GRCLSVKQGTDEVLDVAFDAAG | |||||||||||||
| 5 | 4jspD | 0.94 | 0.89 | 25.06 | 1.29 | MUSTER | -------VGSDPVILATAGYDHTVRFWQAHSGICTRTVQHQDSQVNALEVTPDRSMIAAAGYQHIRMYDLNSNNPNPIISYDGVNKNIASVGFHEDGRWMYTGGEDCTARIWDLRSRNLQCQRIFQVNAPINCVCLHPNQ | |||||||||||||
| 6 | 3dm0A | 0.17 | 0.16 | 5.40 | 0.61 | HHsearch | HFVEDVVLSSDGQFALSGSWDGELRLWDLAAGVSTRRFVGHTKDVLSVAFSLDNRQIVSASRDTIKLWNTL-GE--CKYTIEGHRDWVSCVRFSPNTLTIVSASWDKTVKVWNLSNCKL--RSTLGHTGYVSTVAVSPDG | |||||||||||||
| 7 | 6zwmC1 | 0.94 | 0.89 | 25.06 | 1.73 | FFAS-3D | -------VGSDPVILATAGYDHTVRFWQAHSGICTRTVQHQDSQVNALEVTPDRSMIAAAGYQHIRMYDLNSNNPNPIISYDGVNKNIASVGFHEDGRWMYTGGEDCTARIWDLRSRNLQCQRIFQVNAPINCVCLHPNQ | |||||||||||||
| 8 | 6zwmC1 | 0.94 | 0.89 | 25.06 | 0.47 | EigenThreader | -------VGSDPVILATAGYDHTVRFWQAHSGICTRTVQHQDSQVNALEVTPDRSMIAAAGYQHIRMYDLNSNNPNPIISYDGVNKNIASVGFHEDGRWMYTGGEDCTARIWDLRSRNLQCQRIFQVNAPINCVCLHPNQ | |||||||||||||
| 9 | 5wbuC | 0.94 | 0.89 | 25.06 | 1.96 | CNFpred | -------VGSDPVILATAGYDHTVRFWQAHSGICTRTVQHQDSQVNALEVTPDRSMIAAAGYQHIRMYDLNSNNPNPIISYDGVNKNIASVGFHEDGRWMYTGGEDCTARIWDLRSRNLQCQRIFQVNAPINCVCLHPNQ | |||||||||||||
| 10 | 3fm0A | 0.17 | 0.16 | 5.19 | 1.50 | DEthreader | -------WNPAGTLLASCGGDRRIRIWGTESWICKSVLSEHQRTVRKVAWSPCGNYLASASFATTCIWKKNQDFE-CVTTLEGHENEVKSVAWAPSGNLLATCSRDKSVWVWEVDEDEYECVSVLNHTQDVKHVVWHPSQ | |||||||||||||
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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. |