>Q9UKT8 (145 residues) ILRMKQLEDHEAFETSSLIGHSARVYALYYKDGLLCTGSDDLSAKLWDVSTGQCVYGIQT HTCAAVKFDEQKLVTGSFDNTVACWEWSSGARTQHFRGHTGAVFSVDYNDELDILVSGSA DFTVKVWALSAGTCLNTLTGHTEWV |
Sequence |
20 40 60 80 100 120 140 | | | | | | | ILRMKQLEDHEAFETSSLIGHSARVYALYYKDGLLCTGSDDLSAKLWDVSTGQCVYGIQTHTCAAVKFDEQKLVTGSFDNTVACWEWSSGARTQHFRGHTGAVFSVDYNDELDILVSGSADFTVKVWALSAGTCLNTLTGHTEWV |
Prediction | CSSSSSCCCCCCCSSSSSCCCCCCSSSSSSSCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCCSSSSSCCCCCSSSSSCCCCCCC |
Confidence | 9787577889631328871638988999981998999308990999877889589986682489994899989997289919998678895899885878978999997999999996089919998578893888884878849 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | ILRMKQLEDHEAFETSSLIGHSARVYALYYKDGLLCTGSDDLSAKLWDVSTGQCVYGIQTHTCAAVKFDEQKLVTGSFDNTVACWEWSSGARTQHFRGHTGAVFSVDYNDELDILVSGSADFTVKVWALSAGTCLNTLTGHTEWV |
Prediction | 7040120644643333304335341200103442000003331010221743523340613200000243420001033310305326335133404323330200000452420001034310100205335233306256558 |
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 | CSSSSSCCCCCCCSSSSSCCCCCCSSSSSSSCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCCSSSSSCCCCCSSSSSCCCCCCC ILRMKQLEDHEAFETSSLIGHSARVYALYYKDGLLCTGSDDLSAKLWDVSTGQCVYGIQTHTCAAVKFDEQKLVTGSFDNTVACWEWSSGARTQHFRGHTGAVFSVDYNDELDILVSGSADFTVKVWALSAGTCLNTLTGHTEWV | |||||||||||||||||||
1 | 6f3tA | 0.28 | 0.28 | 8.45 | 1.50 | DEthreader | SLKDVERDEKTASELKILYGHSGPVYGASFSDNYLLSSSEDGTVRLWSLQTFTCLVGYKGHYVWDTQFSGYYFVSGGHDRVARLWATDHYQPLRIFAGHLADVNCTRFHPNSNYVATGSADRTVRLWDVLNGNCVRIFTGHKGPA | |||||||||||||
2 | 6f3tA | 0.26 | 0.26 | 7.88 | 1.67 | SPARKS-K | TVRLWSLQTFT--CLVGYKGHNYPVWDTQFYGYYFVSGGHDRVARLWATDHYQPLRIFAGHNCTRFHPNSNYVATGSADRTVRLWDVLNGNCVRIFTGHKGPIHSLTFSPNGRFLATGATDGRVLLWDIGHGLMVGELKGHTDTV | |||||||||||||
3 | 5nnzB | 0.31 | 0.28 | 8.34 | 0.39 | MapAlign | ---------------NILIGHCAEISSASFNCSLILTGSMDKTCKLWDATNGKCVATLTHDDILDSCFDGKLIATASADGTARIFSAATRKCIAKLEGHEGEISKISFNPQGNHLLTGSSDKTARIWDAQTGQCLQVLEGHTDEI | |||||||||||||
4 | 6f3tA2 | 0.26 | 0.26 | 8.08 | 0.30 | CEthreader | DVLERIMDEKTASELKILYGHSGPVYGASFSRNYLLSSSEDGTVRLWSLQTFTCLVGYKGHPVWDTQFSGYYFVSGGHDRVARLWATDHYQPLRIFAGHLADVNCTRFHPNSNYVATGSADRTVRLWDVLNGNCVRIFTGHKGPI | |||||||||||||
5 | 5yzvA2 | 0.38 | 0.33 | 9.80 | 1.59 | MUSTER | -------------------GHTDYVYAVAFSPDMVASGSRDGTIRLWDVATGKERDVLQAVVSLAFSPDGSMLVHGS-DSTVHLWDVASGEALHTFEGHTDWVRAVAFSPDGALLASGSDDRTIRLWDVAAQEEHTTLEGHTEPV | |||||||||||||
6 | 3dm0A | 0.31 | 0.30 | 9.19 | 0.65 | HHsearch | SIILWKLTKDDGVAQRRLTGHSHFVEDVVLSGQFALSGSWDGELRLWDLAAGVSTRRFVGHTSVAFSLDNRQIVSASRDRTIKLWNTL-GECKYTIEGHRDWVSCVRFSPNTLTIVSASWDKTVKVWNLSNCKLRSTLAGHTGYV | |||||||||||||
7 | 5i2tA1 | 0.24 | 0.23 | 7.32 | 1.88 | FFAS-3D | -LQIWKTPDVNFVRHRVHAGHFQDITSLTWSQDFILTTSKDLSAKIWSVDSEEKNTTFNGHMGAFFSHDQEKIYTVSKDGAVFVWEFTSWRITKKHFANQAKVKCVTFHPATRLLAVGFTSGEFRLYDLPDFTLIQQLSMGQNPV | |||||||||||||
8 | 1vyhT | 0.30 | 0.29 | 8.79 | 0.47 | EigenThreader | KE-----WIPRPPEKYALSGHRSPVTRVIFHFSVMVSASEDATIKVWDYETGDFERTLKGHSVQDISFDGKLLASCSADMTIKLWDFQGFECIRTMHGHDHNVSSVSIMPNGDHIVSASRDKTIKMWEVQTGYCVKTFTGHREWV | |||||||||||||
9 | 5mzhA | 0.27 | 0.27 | 8.24 | 2.17 | CNFpred | DSRLWDVRTG--QCVHVLSGHRGEVSSTQFNYTLVVSGSIDCTSRLWDVRSGRCLSVKQ-VLDVAFDAAGTKMVSASADGSARLYHTLTGVCQHTLVGHEGEISKVAFNPQGTRLITASSDKTCRLWDCDTGECLQVLEGHTDEI | |||||||||||||
10 | 6f3tA2 | 0.27 | 0.27 | 8.26 | 1.50 | DEthreader | LISDVERDEKTASELKILYGHSGPVYGASFSDNYLLSSSEDGTVRLWSLQTFTCLVGYKGHYVWDTQFSGYYFVSGGHDRVARLWATDHYQPLRIFAGHLADVNCTRFHPNSNYVATGSADRTVRLWDVLNGNCVRIFTGHKGPA | |||||||||||||
|
|
Top 10 structural analogs in PDB (as identified by
TM-align)
|
|
Top 5 enzyme homologs in PDB
|
Template proteins with similar binding site:
|
References: | |
1. | Wei Zheng, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homology proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. In preparation, 2020. |