>Q9BVA1 (150 residues) TYGDLNHLVSATMSGVTTCLRFPGQLNADLRKLAVNMVPFPRLHFFMPGFAPLTSRGSQQ YRALTVPELTQQMFDSKNMMAACDPRHGRYLTVAAIFRGRMSMKEVDEQMLNVQNKNSSY FVEWIPNNVKTAVCDIPPRGLKMSATFIGN |
Sequence |
20 40 60 80 100 120 140 | | | | | | | TYGDLNHLVSATMSGVTTCLRFPGQLNADLRKLAVNMVPFPRLHFFMPGFAPLTSRGSQQYRALTVPELTQQMFDSKNMMAACDPRHGRYLTVAAIFRGRMSMKEVDEQMLNVQNKNSSYFVEWIPNNVKTAVCDIPPRGLKMSATFIGN |
Prediction | CHHHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHCCCCCCCSSSCCCCCCCCCCHHHHCCCCCCHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCCCCCSCCCCSSSSSCCCCCCCCCSSSSSSCC |
Confidence | 852779999999961343233588678888999861787751242355557643202211124888898763313320353568999734557888857998158999999878754775401078827875237899887725887529 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | TYGDLNHLVSATMSGVTTCLRFPGQLNADLRKLAVNMVPFPRLHFFMPGFAPLTSRGSQQYRALTVPELTQQMFDSKNMMAACDPRHGRYLTVAAIFRGRMSMKEVDEQMLNVQNKNSSYFVEWIPNNVKTAVCDIPPRGLKMSATFIGN |
Prediction | 746320300020112220222144442120441343333243031333221201233443343333442343324432212413354222000000021333344144133304444323214112430321224333452420000128 |
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 | | | | | | | | |||||||||||||
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SS Seq | CHHHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHCCCCCCCSSSCCCCCCCCCCHHHHCCCCCCHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCCCCCSCCCCSSSSSCCCCCCCCCSSSSSSCC TYGDLNHLVSATMSGVTTCLRFPGQLNADLRKLAVNMVPFPRLHFFMPGFAPLTSRGSQQYRALTVPELTQQMFDSKNMMAACDPRHGRYLTVAAIFRGRMSMKEVDEQMLNVQNKNSSYFVEWIPNNVKTAVCDIPPRGLKMSATFIGN | |||||||||||||||||||
1 | 6kppB | 0.99 | 0.99 | 27.82 | 1.50 | DEthreader | PYGDLNHLVSATMSGVTTCLRFPGQLNADLRKLAVNMVPFPRLHFFMPGFAPLTSRGSQQYRALTVPELTQQMFDSKNMMAACDPRHGRYLTVAAIFRGRMSMKEVDEQMLNVQNKNSSYFVEWIPNNVKTAVCDIPPRGLKMSATFIGN | |||||||||||||
2 | 1tubA2 | 0.35 | 0.35 | 10.36 | 3.06 | SPARKS-K | TYTNLNRLIGQIVSSITASLRFDGALNVDLTEFQTNLVPYPRGHFPLATYAPVISAEKAYHEQLSVAEITNACFEPANQMVKCDPRHGKYMACCLLYRGDVVPKDVNAAIATIKTKRTIQFVDWCPTGFKVGINYEPPTVVQRAVCMLSN | |||||||||||||
3 | 1tubA | 0.34 | 0.34 | 10.17 | 1.21 | MapAlign | -YTNLNRLIGQIVSSITASLRFDGALNVDLTEFQTNLVPYPRGHFPLATYAPVISAEKAYHEQLSVAEITNACFEPANQMVKCDPRHGKYMACCLLYRGDVVPKDVNAAIATIKTKRTIQFVDWCPTGFKVGINYEPPAKVQRAVCMLSN | |||||||||||||
4 | 1tubA2 | 0.35 | 0.35 | 10.36 | 1.02 | CEthreader | TYTNLNRLIGQIVSSITASLRFDGALNVDLTEFQTNLVPYPRGHFPLATYAPVISAEKAYHEQLSVAEITNACFEPANQMVKCDPRHGKYMACCLLYRGDVVPKDVNAAIATIKTKRTIQFVDWCPTGFKVGINYEPPTVVQRAVCMLSN | |||||||||||||
5 | 6gj4B | 1.00 | 1.00 | 28.00 | 2.56 | MUSTER | TYGDLNHLVSATMSGVTTCLRFPGQLNADLRKLAVNMVPFPRLHFFMPGFAPLTSRGSQQYRALTVPELTQQMFDSKNMMAACDPRHGRYLTVAAIFRGRMSMKEVDEQMLNVQNKNSSYFVEWIPNNVKTAVCDIPPRGLKMSATFIGN | |||||||||||||
6 | 1tubA2 | 0.35 | 0.35 | 10.36 | 3.07 | HHsearch | TYTNLNRLIGQIVSSITASLRFDGALNVDLTEFQTNLVPYPRGHFPLATYAPVISAEKAYHEQLSVAEITNACFEPANQMVKCDPRHGKYMACCLLYRGDVVPKDVNAAIATIKTKRTIQFVDWCPTGFKVGINYEPPTVVQRAVCMLSN | |||||||||||||
7 | 1tubA2 | 0.35 | 0.35 | 10.36 | 2.24 | FFAS-3D | TYTNLNRLIGQIVSSITASLRFDGALNVDLTEFQTNLVPYPRGHFPLATYAPVISAEKAYHEQLSVAEITNACFEPANQMVKCDPRHGKYMACCLLYRGDVVPKDVNAAIATIKTKRTIQFVDWCPTGFKVGINYEPPTVVQRAVCMLSN | |||||||||||||
8 | 3hkeD2 | 0.99 | 0.99 | 27.82 | 1.58 | EigenThreader | TYGDLNHLVSATMSGVTTCLRFPGQLNADLRKLAVNMVPFPRLHFFMPGFAPLTSRGSQQYRALTVPELTQQMFDSKNMMAACDPRHGRYLTVAAVFRGRMSMKEVDEQMLNVQNKNSSYFVEWIPNNVKTAVCDIPPRGLKMSATFIGN | |||||||||||||
9 | 5ij9B | 0.93 | 0.93 | 26.20 | 2.99 | CNFpred | TYGDLNHLVSATMSGVTTSLRFPGQLNADLRKLAVNMVPFPRLHFFMPGFAPLTARGSQQYRALTVPELTQQMFDAKNMMAACDPRHGRYLTVATVFRGRMSMKEVDEQMLAIQSKNSSYFVEWIPNNVKVAVCDIPPRGLKMSSTFIGN | |||||||||||||
10 | 6kppB2 | 0.99 | 0.99 | 27.82 | 1.50 | DEthreader | PYGDLNHLVSATMSGVTTCLRFPGQLNADLRKLAVNMVPFPRLHFFMPGFAPLTSRGSQQYRALTVPELTQQMFDSKNMMAACDPRHGRYLTVAAIFRGRMSMKEVDEQMLNVQNKNSSYFVEWIPNNVKTAVCDIPPRGLKMSATFIGN | |||||||||||||
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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, 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. |