| >Q14691 (140 residues) MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIP TIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSVLPNALRFHMAAEEMEWFNNYKRS LATYMRSLGGDEGLDITQDM |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSVLPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGDEGLDITQDM |
| Prediction | CCHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHCCCHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCC |
| Confidence | 94078999999999737899999848999999999999999999999860445662034689999999999999999999999999999997228899889985189999999999999999999960787775477889 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSVLPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGDEGLDITQDM |
| Prediction | 73154025004204416744033233610440152055126514642563557645422120202210142022000001341152045112644531375046402640351055125104402463445340303257 |
| 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 | CCHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHCCCHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCC MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSVLPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGDEGLDITQDM | |||||||||||||||||||
| 1 | 2q9qC | 0.98 | 0.97 | 27.22 | 1.50 | DEthreader | MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSILPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGEG-LDITQDM | |||||||||||||
| 2 | 2q9qC | 0.99 | 0.99 | 27.81 | 1.97 | SPARKS-K | MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSILPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGDEGLDITQDM | |||||||||||||
| 3 | 2q9qC | 0.99 | 0.99 | 27.61 | 1.21 | MapAlign | -FCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSILPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGDEGLDITQDM | |||||||||||||
| 4 | 2q9qC | 0.99 | 0.99 | 27.81 | 1.07 | CEthreader | MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSILPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGDEGLDITQDM | |||||||||||||
| 5 | 2q9qC | 0.99 | 0.99 | 27.81 | 2.04 | MUSTER | MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSILPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGDEGLDITQDM | |||||||||||||
| 6 | 2q9qC | 0.99 | 0.99 | 27.81 | 4.14 | HHsearch | MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSILPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGDEGLDITQDM | |||||||||||||
| 7 | 2q9qC | 0.99 | 0.99 | 27.81 | 2.48 | FFAS-3D | MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSILPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGDEGLDITQDM | |||||||||||||
| 8 | 2q9qC | 0.99 | 0.99 | 27.81 | 1.23 | EigenThreader | MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSILPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGDEGLDITQDM | |||||||||||||
| 9 | 2ehoB | 0.99 | 0.99 | 27.81 | 1.23 | CNFpred | MFCEKAMELIRELHRAPEGQLPAFNEDGLRQVLEEMKALYEQNQSDVNEAKSGGRSDLIPTIKFRHCSLLRNRRCTVAYLYDRLLRIRALRWEYGSILPNALRFHMAAEEMEWFNNYKRSLATYMRSLGGDEGLDITQDM | |||||||||||||
| 10 | 3jc5A | 0.18 | 0.17 | 5.61 | 1.33 | DEthreader | MYGDLGNKLVLEAKRTQYQVLPMYHEDIIRNILKEVSNLRKNTEYLKEQQQLLDDKVAKCQYFVTLLCMERNKRCLLAYQRLRTDILDSMAWNNNIFSQ-QDTNNLSHQEQEYLKEYCDLITDLKSGDL--VDIDLSGSL | |||||||||||||
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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. |