| >Q6GMV3 (140 residues) MHRGVGPAFRVVRKMAASGAEPQVLVQYLVLRKDLSQAPFSWPAGALVAQACHAATAALH THRDHPHTAAYLQELGRMRKVVLEAPDETTLKELAETLQQKNIDHMLWLEQPENIATCIA LRPYPKEEVGQYLKKFRLFK |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MHRGVGPAFRVVRKMAASGAEPQVLVQYLVLRKDLSQAPFSWPAGALVAQACHAATAALHTHRDHPHTAAYLQELGRMRKVVLEAPDETTLKELAETLQQKNIDHMLWLEQPENIATCIALRPYPKEEVGQYLKKFRLFK |
| Prediction | CCCCCCCHHHHHHHHHCCCCCCCCSSSSSSSSCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCHHHHHHHHHCCCCSSSSSSSCCHHHHHHHHHHHHHHCCCSSSSSSCCCCCSSSSSSCCCCHHHHHHHHCCCCCCC |
| Confidence | 98543315788887514678997479999995654357777888437887748999999999329889999996389759999939999999999999991999179986389974899964687889999836473579 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MHRGVGPAFRVVRKMAASGAEPQVLVQYLVLRKDLSQAPFSWPAGALVAQACHAATAALHTHRDHPHTAAYLQELGRMRKVVLEAPDETTLKELAETLQQKNIDHMLWLEQPENIATCIALRPYPKEEVGQYLKKFRLFK |
| Prediction | 74444454344345334645544301000001320543546243100000001000000242374740340165265221000106537304501630575705120112226513000002214573045106614438 |
| 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 | CCCCCCCHHHHHHHHHCCCCCCCCSSSSSSSSCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCHHHHHHHHHCCCCSSSSSSSCCHHHHHHHHHHHHHHCCCSSSSSSCCCCCSSSSSSCCCCHHHHHHHHCCCCCCC MHRGVGPAFRVVRKMAASGAEPQVLVQYLVLRKDLSQAPFSWPAGALVAQACHAATAALHTHRDHPHTAAYLQELGRMRKVVLEAPDETTLKELAETLQQKNIDHMLWLEQPENIATCIALRPYPKEEVGQYLKKFRLFK | |||||||||||||||||||
| 1 | 1q7sA | 0.25 | 0.19 | 5.99 | 1.17 | DEthreader | ----------------------GEYKMILVVRNDLK-----MGKGKVAAQCSHAAVSAYKQIQRNEMLKQWE-YC-GQPKVVVKAPDEETLIALLAHAKMLGLTVSLIQDAGPGSQTVLGIGPGPADLIDKVTGHLKLY- | |||||||||||||
| 2 | 2d3kA | 0.26 | 0.21 | 6.39 | 2.04 | SPARKS-K | ---------------------MFKYKQVIVARADLKL-----SKGKLAAQVAHGAVTAAFEAYKKREWFEAWFREG-QKKVVVKVESEEELFKLKAEAEKLGLPNALIREIPPGTVTVLAVGPAPEEIVDKVTGNLKLL- | |||||||||||||
| 3 | 2d3kA | 0.26 | 0.21 | 6.39 | 1.97 | MapAlign | ---------------------MFKYKQVIVARADL-----KLSKGKLAAQVAHGAVTAAFEAYKREWFEAWFRE--GQKKVVVKVESEEELFKLKAEAEKLGLPNALIRLIPPGTVTVLAVGPAPEEIVDKVTGNLKLL- | |||||||||||||
| 4 | 2d3kA | 0.26 | 0.21 | 6.39 | 1.74 | CEthreader | ---------------------MFKYKQVIVARADL-----KLSKGKLAAQVAHGAVTAAFEAYKKEWFEAWFRE--GQKKVVVKVESEEELFKLKAEAEKLGLPNALIRDIPPGTVTVLAVGPAPEEIVDKVTGNLKLL- | |||||||||||||
| 5 | 2d3kA | 0.25 | 0.20 | 6.20 | 1.78 | MUSTER | ---------------------MFKYKQVIVARADLKLS-----KGKLAAQVAHGAVTAAFEAYKKREWFEAWFR-EGQKKVVVKVESEEELFKLKAEAEKLGLPNALIREIPPGTVTVLAVGPAPEEIVDKVTGNLKLL- | |||||||||||||
| 6 | 1rzwA | 0.25 | 0.19 | 5.99 | 3.65 | HHsearch | ----------------------MTLKQVIVVRDDLKL-----SRGKLAVQVAHAAIIGYLKS-DSSLRRKWLDE--GQKKVVLKVKSLEELLGIKHKAESLGLVTGLVTEVPPGTITAVVIGPDEERKIDKVTGNLPLLK | |||||||||||||
| 7 | 1xtyA | 0.17 | 0.14 | 4.46 | 1.25 | EigenThreader | -----------------------MIKMVIVVRSDIK-----MGKGKIAAQVAHAAVTLVVSISNNLRWKEWLNEWLHQGQIIVKVNSLDEIISRAKKAETMNLPFSIIEDAGKGTITCLGIGPAPENLVDSITGDLKLL- | |||||||||||||
| 8 | 1q7sA | 0.25 | 0.19 | 5.99 | 1.19 | CNFpred | ----------------------GEYKMILVVRNDL-----KMGKGKVAAQCSHAAVSAYKQIQNPEMLKQWEYC--GQPKVVVKAPDEETLIALLAHAKMLGLTVSLIQDAAPGSQTVLGIGPGPADLIDKVTGHLKLY- | |||||||||||||
| 9 | 1rlkA | 0.23 | 0.18 | 5.60 | 1.17 | DEthreader | -----------------------VKKMVIAVRKDLD-----MGKGKIAAQVAHAAVTCAIRSMKNDVFNEWY-DE-GQRKIVVKVNDLDEIMEIKRMADSMGIVNEIVQDRGYGTITCIGLGPDEEEKLDKITGKYKLL- | |||||||||||||
| 10 | 1rlkA | 0.22 | 0.17 | 5.41 | 2.01 | SPARKS-K | -----------------------VKKMVIAVRKD-----LDMGKGKIAAQVAHAAVTCAIRSMKNRDVFNEWYDE-GQRKIVVKVNDLDEIMEIKRMADSMGIVNEIVQDVEPGTITCIGLGPDEEEKLDKITGKYKLL- | |||||||||||||
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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. |