| >P13796 (146 residues) IELSRNEALIALLREGESLEDLMKLSPEELLLRWANYHLENAGCNKIGNFSTDIKDSKAY YHLLEQVAPKGDEEGVPAVVIDMSGLREKDDIQRAECMLQQAERLGCRQFVTATDVVRGN PKLNLAFIANLFNRYPALHKPENQDI |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | IELSRNEALIALLREGESLEDLMKLSPEELLLRWANYHLENAGCNKIGNFSTDIKDSKAYYHLLEQVAPKGDEEGVPAVVIDMSGLREKDDIQRAECMLQQAERLGCRQFVTATDVVRGNPKLNLAFIANLFNRYPALHKPENQDI |
| Prediction | CCCCCCHHHHHHCCCCCCHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHCCCCCCCHHHHCCCCHHHHHHHHHHHHHHCCCCCCCCCCCC |
| Confidence | 97210968999713577899997299999999999999854399524785115655499999999978665665444444565446711499999999999998199754688881178725899999999976369998665679 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | IELSRNEALIALLREGESLEDLMKLSPEELLLRWANYHLENAGCNKIGNFSTDIKDSKAYYHLLEQVAPKGDEEGVPAVVIDMSGLREKDDIQRAECMLQQAERLGCRQFVTATDVVRGNPKLNLAFIANLFNRYPALHKPENQDI |
| Prediction | 75365244004015576426403714254200300230066274540431451143030001003212464465544444143431547423610430152056170541040520253333000000000033342155666666 |
| 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 | CCCCCCHHHHHHCCCCCCHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHCCCCCCCHHHHCCCCHHHHHHHHHHHHHHCCCCCCCCCCCC IELSRNEALIALLREGESLEDLMKLSPEELLLRWANYHLENAGCNKIGNFSTDIKDSKAYYHLLEQVAPKGDEEGVPAVVIDMSGLREKDDIQRAECMLQQAERLGCRQFVTATDVVRGNPKLNLAFIANLFNRYPALHKPENQDI | |||||||||||||||||||
| 1 | 1pxyB | 0.24 | 0.21 | 6.41 | 1.17 | DEthreader | WQLMRFHMLQLLKSLG-KE--M--T-D-ADILSWANRKVRTMGRKQIESFKKSLSSGLFFLNLLWAVEP-R----VVNWNLVTKGETDDEKRLNATYIVSVARKLGCSVFLLPEDIVEVNQKMILILTASIMYWSLQR-------- | |||||||||||||
| 2 | 1aoaA2 | 0.74 | 0.59 | 16.70 | 2.12 | SPARKS-K | -----------------TLEELMKLSPEELLLRWANFHLENSGWQKINNFSADIKDSKAYFHLLNQIAPKGQKEGEPRIDINMSGFNETDDLKRAESMLQQADKLGCRQFVTPADVVSGNPKLNLAFVANLFN------------- | |||||||||||||
| 3 | 1pxyB | 0.20 | 0.18 | 5.72 | 0.95 | MapAlign | PFRKVENCNQVIKIVNVAGNDIVGKEMDADILSWANRKVRTMGRLQIESFKDSLSSGLFFLNLLWAVEPRV----VNWNLV-TKGETDDEKRLNATYIVSVARKLGCSVFLLPEDIVEVNQKMILILTASIMYWSLQR-------- | |||||||||||||
| 4 | 1pxyB | 0.21 | 0.19 | 6.09 | 0.62 | CEthreader | GNKKLILGLLWQLMRFHMLQLLKSLGTDADILSWANRKVRTMRKLQIESFKKSLSSGLFFLNLLWAVEPRVVN-----WNLVTKGETDDEKRLNATYIVSVARKLGCSVFLLPEDIVEVNQKMILILTASIMYWSLQR-------- | |||||||||||||
| 5 | 1aoaA2 | 0.74 | 0.59 | 16.70 | 1.92 | MUSTER | -----------------TLEELMKLSPEELLLRWANFHLENSGWQKINNFSADIKDSKAYFHLLNQIAPKGQKEGEPRIDINMSGFNETDDLKRAESMLQQADKLGCRQFVTPADVVSGNPKLNLAFVANLFN------------- | |||||||||||||
| 6 | 1sjjA | 0.20 | 0.19 | 6.12 | 2.09 | HHsearch | GNVKMTLGMIWTIILRFAIQDISETSAKEGLLLWYQRKTAPYKNVNIQNFHISWKDGLGFCALIHRHRPEL-------IDYG--KLRKDDPLTNLNTAFDVAEKLDIPKMLDAEDIVRPDEKAIMTYVSSFYHAFSGAQKAETAAI | |||||||||||||
| 7 | 1aoaA2 | 0.74 | 0.58 | 16.51 | 1.88 | FFAS-3D | -----------------TLEELMKLSPEELLLRWANFHLENSGWQKINNFSADIKDSKAYFHLLNQIAPKGQKEGEPRIDINMSGFNETDDLKRAESMLQQADKLGCRQFVTPADVVSGNPKLNLAFVANLF-------------- | |||||||||||||
| 8 | 1aoaA | 0.61 | 0.55 | 15.69 | 1.12 | EigenThreader | LWQIIKIGLFADIELSRTLEELMKLSPEELLLRWANFHLENSGWQKINNFSADIKDSKAYFHLLNQIAPKGQKEPRIDINMSGFNETD--DLKRAESMLQQADKLGCRQFVTPADVVSGNPKLNLAFVANLFN------------- | |||||||||||||
| 9 | 1aoaA | 0.66 | 0.60 | 16.99 | 1.22 | CNFpred | GKPHLVLGLLWQIIKI-TLEELMKLSPEELLLRWANFHLENSGWQKINNFSADIKDSKAYFHLLNQIAPKGQKEGEPRIDINMSGFNETDDLKRAESMLQQADKLGCRQFVTPADVVSGNPKLNLAFVANLFN------------- | |||||||||||||
| 10 | 1rt8A | 0.45 | 0.38 | 11.21 | 1.17 | DEthreader | QIIRRG-LLGK-I---TLDQFLR-LPPEKILLRWFNYHLKAANWPTVSNFSKDVSDGENYTVLLNQLAPEL----CSRAPLQ-TT----DVLQRAEQVLQNAEKLDCRKYLTPTAMVAGNPKLNLAFVAHLFNTHPGLEP------ | |||||||||||||
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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. |