| >Q96MX3 (144 residues) GEKPYLCPECGKGFADSSARVKHLRTHRGERARPPPPSTLLRPHNPPGPVPMAPRPRVRA QPSGPSQPHVCGFCGKEFPRSSDLVKHRRTHTGEKPYKCAECGKGFGDSSARIKHQRGHL VLTPFGIGDGRARPLKQEAATGLE |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | GEKPYLCPECGKGFADSSARVKHLRTHRGERARPPPPSTLLRPHNPPGPVPMAPRPRVRAQPSGPSQPHVCGFCGKEFPRSSDLVKHRRTHTGEKPYKCAECGKGFGDSSARIKHQRGHLVLTPFGIGDGRARPLKQEAATGLE |
| Prediction | CCCCCCCCCCCCSCCCCCCCCCSSCCCCCCCCCCCCCCCCCCSSCCCCCCCCSCCSSSCCCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSCCCCCCCCCSSCCCCCCCCSCCCCCCCCCCCSSSSSCCC |
| Confidence | 998840688877424433510010321578899865687786434655541111123235556885781168888643443343212032058788117888874144344211202225888825777735132011221459 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | GEKPYLCPECGKGFADSSARVKHLRTHRGERARPPPPSTLLRPHNPPGPVPMAPRPRVRAQPSGPSQPHVCGFCGKEFPRSSDLVKHRRTHTGEKPYKCAECGKGFGDSSARIKHQRGHLVLTPFGIGDGRARPLKQEAATGLE |
| Prediction | 874436467412303342404413211122364415145212313464414414223225342443332537741130334140441323133333263674123033414144132313433315375144144434134448 |
| 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 | CCCCCCCCCCCCSCCCCCCCCCSSCCCCCCCCCCCCCCCCCCSSCCCCCCCCSCCSSSCCCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSCCCCCCCCCSSCCCCCCCCSCCCCCCCCCCCSSSSSCCC GEKPYLCPECGKGFADSSARVKHLRTHRGERARPPPPSTLLRPHNPPGPVPMAPRPRVRAQPSGPSQPHVCGFCGKEFPRSSDLVKHRRTHTGEKPYKCAECGKGFGDSSARIKHQRGHLVLTPFGIGDGRARPLKQEAATGLE | |||||||||||||||||||
| 1 | 4he8N | 0.04 | 0.03 | 1.79 | 0.83 | DEthreader | LLAALLVDGVVFLAGALGMHLLAST---RHLLLLVLESLPLYALATGLEAAYFGALAFLGAFYGSVLGAG------LGLLLVLGFLLLALLVASVVGNAQALLYSSIA--Y--TGAFAVLSQIS-LKDT-FRPGPPWA------ | |||||||||||||
| 2 | 5egbA | 0.41 | 0.32 | 9.40 | 3.73 | SPARKS-K | -EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDK--------SHLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSNKSHLLRHQRTHT------------------------ | |||||||||||||
| 3 | 2i13A | 0.35 | 0.33 | 9.94 | 0.92 | MapAlign | THKPYKCPECGKSFSDKKDLTRHQRTHTGEKP--------YKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQ | |||||||||||||
| 4 | 5v3gD | 0.37 | 0.35 | 10.32 | 0.66 | CEthreader | GEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLS--------HQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFRNKSHLLRHQ | |||||||||||||
| 5 | 2i13A | 0.35 | 0.33 | 9.94 | 2.49 | MUSTER | THKPYKCPECGKSFSDKKDLTRHQRTHTGEK--PYKCPECGKSFSQRANL------RAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECKSFSRRDALNVHQR | |||||||||||||
| 6 | 5v3jE | 0.30 | 0.29 | 8.85 | 1.28 | HHsearch | GEKPHKCKECGKAFRYDTQLSLHLLTHAGARRFECKDCDKVYLHQMSKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGK---TFGRGSELS | |||||||||||||
| 7 | 5v3gD | 0.37 | 0.35 | 10.32 | 1.80 | FFAS-3D | GEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPY--------VCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFRNKSHLLRHQ | |||||||||||||
| 8 | 5v3gD | 0.29 | 0.28 | 8.45 | 1.02 | EigenThreader | SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKP-----YVCRECGRLLSHQRTHTGEKPYRECGRGEKPYVCRECGRGFSWQSVLLRHQRT--HTGEKPYRECGRGFRDKSNLLSHQRTHTGEKPYRECGRGNKSHLLRHQRTHT | |||||||||||||
| 9 | 5v3gA | 0.35 | 0.33 | 9.76 | 3.67 | CNFpred | SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRD--------KSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQ | |||||||||||||
| 10 | 6u8yX | 0.06 | 0.05 | 2.16 | 0.83 | DEthreader | VSAPLLALSIIFIAGLAGALGVFLA--NDFVFFLSWEITFASFMMVFYNASYFSIAYMLIGYGSLSFIS----------LFAFGAGVFG-IAFGGTIGGALFSSSQIG--HA-FKFFLIVATIIRLAEKMVKDAPLPL------ | |||||||||||||
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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. |