| >Q86YV0 (148 residues) PSVPWQRQMDQPQDRNQALGTHRPVNKLAELQCEVAALREEQKVLSRLVESLSTQIRALT EQQEQLRGQLQDLDSRLRAGSSEFDSEHNLTSNEGHSLKNLEHRLNEMERTQAQLRDAVQ SLQLSPRTRGSWSQPQPLKAPCLNGDTT |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | PSVPWQRQMDQPQDRNQALGTHRPVNKLAELQCEVAALREEQKVLSRLVESLSTQIRALTEQQEQLRGQLQDLDSRLRAGSSEFDSEHNLTSNEGHSLKNLEHRLNEMERTQAQLRDAVQSLQLSPRTRGSWSQPQPLKAPCLNGDTT |
| Prediction | CCCCHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHCCCCCCCCCCCCCCC |
| Confidence | 9983788975236677632010147999999999999999999999999999999999999999999999999999999898750420642127899999999999999999999999999987213721354032234666689999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | PSVPWQRQMDQPQDRNQALGTHRPVNKLAELQCEVAALREEQKVLSRLVESLSTQIRALTEQQEQLRGQLQDLDSRLRAGSSEFDSEHNLTSNEGHSLKNLEHRLNEMERTQAQLRDAVQSLQLSPRTRGSWSQPQPLKAPCLNGDTT |
| Prediction | 8735255326534547443445434431450454254145536425541551454354246436535531551454156345515766444654544254145325415534540452256253355366345424505331454758 |
| 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 | CCCCHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHCCCCCCCCCCCCCCC PSVPWQRQMDQPQDRNQALGTHRPVNKLAELQCEVAALREEQKVLSRLVESLSTQIRALTEQQEQLRGQLQDLDSRLRAGSSEFDSEHNLTSNEGHSLKNLEHRLNEMERTQAQLRDAVQSLQLSPRTRGSWSQPQPLKAPCLNGDTT | |||||||||||||||||||
| 1 | 4cpcA | 0.07 | 0.06 | 2.57 | 1.17 | DEthreader | --I-NKALLAKRKRLEMYTKASLKTSNQKIEHVWKTQQDQRQKLNQEYSQQFLTLFQQWDLDMQKAEEQEEKILNMFRQQQKILQQSRIVQSQRLKTIKQLYEQFIKSMEELEKNHDNLLTGAQNEFKKEMAMKKMMEQQQ------- | |||||||||||||
| 2 | 3na7A1 | 0.09 | 0.07 | 2.83 | 0.87 | SPARKS-K | ----------------LEPLIREKRKDLDKALNDKEAKNKAILNLEEEKLALKLQVSKNEQTLQDTNAKIASIQKKMSEI-----KSERELRSLNIEEDIAKERSNQANREIENLQNEIKRKSEKQEDLKKEMLELEKLALEL----- | |||||||||||||
| 3 | 4iloA | 0.09 | 0.09 | 3.37 | 0.71 | MapAlign | MHDALQSILAIQELDIKMIRLMRVKKEHQNELAKIQALKTDIRRKVEEKEQEMEKLKDQIKGGEKRIQEISDQINKLENQQAAVKKMDEFLTQEMTAANKERRTLEHQLSDLMDKQAGSEDLLISLKESLSSTENSSSAIEEEIRENI | |||||||||||||
| 4 | 4mt4A | 0.05 | 0.05 | 2.46 | 0.52 | CEthreader | GSSLEKLTQQNYLVGVARTAFLNVNLAKLNKDEAFVNYQNTLITAFGEIRYALVARKTIRLQYDNAQASEQSYKRIYEIAKERYDMSLQDYLEARQNWLNAAVAFNNIKYSYANSIVDVIKAFGGGFEQSEDTSKNIKEESKNLDMSF | |||||||||||||
| 5 | 4cgkA | 0.10 | 0.10 | 3.72 | 0.79 | MUSTER | NSKSITEAISRVAAMSEI--VSANNKMLEQQKADKKAISEKQVANNDAINTVIANQQKLADDAQALTTKQAELKAAELSLAAEKATAEGEKASLLEQKAAAEAEARAAAVAEAAYKEKRASQQQSVLASANTNLTAQVQAVSESAAAP | |||||||||||||
| 6 | 4ll7A | 0.16 | 0.10 | 3.37 | 0.90 | HHsearch | ------------------------SRVIESLHDQIDMLTKTNLQLTTQSQNLLSKLELAQSKESKLLENLNLLKNENENLNSIFER-------KNKKLKELEKDYSELSNRYNEQKEKMDQLSKL----------------------- | |||||||||||||
| 7 | 3na7A1 | 0.14 | 0.09 | 3.00 | 0.88 | FFAS-3D | -------------------------PLIREKRKDLDKALNDKEAKNKAILNLEEEKLALKLQVSKNEQTLQDTNAKIASIQKKMSE-----IKSERELRSLNIEEDIAKERSNQANREIENLQ------------------------- | |||||||||||||
| 8 | 5nenA1 | 0.13 | 0.12 | 4.22 | 0.55 | EigenThreader | FSPILDAVKDKPRVAEIIALQTQLFASRR----------QALQSEIDGYKQSMDGIRFQLKGLQDSRGNKQIQLSSLREQMNSMKLPRNRYLEVQRQFAEVNSSIDETVGRIGQLQKQLLESQQRIDQRFADYQREVRTQLAQTQMDA | |||||||||||||
| 9 | 4rsiB | 0.20 | 0.16 | 4.97 | 0.65 | CNFpred | ----------------------EKESQIQLAESELSLLEETQAKLKKNVETLEEKILAKKTHKQELQDLILDLKKKLNSLKDERSQGEKNFTSAHLKLKEMQKVLNAHRQRAMEARSSLSKAQNKSKVLTALSRLQK----------- | |||||||||||||
| 10 | 7kogB | 0.12 | 0.11 | 4.09 | 1.17 | DEthreader | GRIHEIEKQKKRLEVEKDELQAALEAEAALEQEENKVLRSQLELSQVRQEID-RRIQEKEEEFENTRKNHQRALDSMQASLEAEAKGKAEALRMKKKLEADINELEIALDHANKANSEAQKTIKKYQQQLKDVQALEEARAEQLGIS- | |||||||||||||
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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. |