| >Q8TF47 (140 residues) EKPFECNVCGKAFRHSSSLGQHENAHTGEKPYQCSLCGKAFQRSSSLVQHQRIHTGEKPY RCNLCGRSFRHGTSLTQHEVTHSGEKPFQCKECGKAFSRCSSLVQHERTHTGEKPFECSI CGRAFGQSPSLYKHMRIHKR |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | EKPFECNVCGKAFRHSSSLGQHENAHTGEKPYQCSLCGKAFQRSSSLVQHQRIHTGEKPYRCNLCGRSFRHGTSLTQHEVTHSGEKPFQCKECGKAFSRCSSLVQHERTHTGEKPFECSICGRAFGQSPSLYKHMRIHKR |
| Prediction | CCCCCCCCCCCSSCCCCCCHHSHCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSCCCCCCHHHHHCCCCC |
| Confidence | 97844688876544433401000211588882168887644443342101032358898127888755344345100103225889803788876524433411110221589881278887641443331232121159 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | EKPFECNVCGKAFRHSSSLGQHENAHTGEKPYQCSLCGKAFQRSSSLVQHQRIHTGEKPYRCNLCGRSFRHGTSLTQHEVTHSGEKPFQCKECGKAFSRCSSLVQHERTHTGEKPFECSICGRAFGQSPSLYKHMRIHKR |
| Prediction | 85436477431303342404413331334332637742130334240441333133433164744132023324144133313443326467422303342414413231343332647742220334131441334258 |
| 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 | CCCCCCCCCCCSSCCCCCCHHSHCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSCCCCCCHHHHHCCCCC EKPFECNVCGKAFRHSSSLGQHENAHTGEKPYQCSLCGKAFQRSSSLVQHQRIHTGEKPYRCNLCGRSFRHGTSLTQHEVTHSGEKPFQCKECGKAFSRCSSLVQHERTHTGEKPFECSICGRAFGQSPSLYKHMRIHKR | |||||||||||||||||||
| 1 | 2i13A | 0.43 | 0.41 | 12.14 | 1.33 | DEthreader | KPYKCP---ECGKSFKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTG-EKPYKCPCGKSFSRRDALNVH-QRT-H | |||||||||||||
| 2 | 6ml2A | 0.43 | 0.43 | 12.56 | 4.92 | SPARKS-K | SKSFTCDQCGKYFSQKRQLKSHYRVHTS--LPECSHCHRKFMDVSQLKKHLRTHTGEKPFTCEICGKSFTAKSSLQTHIRIHRGEKPYSCSICGKCFSDSSAKRRHCILHTGKKPFSCPECGLQFARLDNLKAHLKIHSK | |||||||||||||
| 3 | 2i13A | 0.52 | 0.51 | 14.67 | 1.03 | MapAlign | -KPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH-- | |||||||||||||
| 4 | 2i13A | 0.51 | 0.51 | 14.68 | 0.84 | CEthreader | HKPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH-- | |||||||||||||
| 5 | 5v3jE | 0.53 | 0.52 | 15.07 | 3.41 | MUSTER | EKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT- | |||||||||||||
| 6 | 5v3jE | 0.53 | 0.52 | 15.07 | 1.65 | HHsearch | EKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT- | |||||||||||||
| 7 | 5v3gD | 0.52 | 0.52 | 15.08 | 2.10 | FFAS-3D | EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTG | |||||||||||||
| 8 | 6ml2A | 0.43 | 0.43 | 12.56 | 1.40 | EigenThreader | SKSFTCDQCGKYFSQKRQLKSHYRVHT--SLPECSHCHRKFMDVSQLKKHLRTHTGEKPFTCEICGKSFTAKSSLQTHIRIHRGEKPYSCSICGKCFSDSSAKRRHCILHTGKKPFSCPECGLQFARLDNLKAHLKIHSK | |||||||||||||
| 9 | 5v3gA | 0.52 | 0.52 | 15.08 | 6.59 | CNFpred | EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTG | |||||||||||||
| 10 | 5t0uA | 0.33 | 0.31 | 9.44 | 1.17 | DEthreader | -THKCH---LCGRAFVTLLRNHLNTHTGTRPHKCPDCDMAFVTSGELVRHRRYHTHEKPFKCSMCDYASVEVSKLKRHIRSHTGERPFQCSLCSYASRDTYKLKRHMRTHSG-EKPYECYCHARFTQ-SGTMKMHILKHT | |||||||||||||
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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. |