| >P17035 (142 residues) KPYKCKVCDKAFTCNSYLAKHTIIHTGEKPYKCNECGKVFNRLSTLARHRRLHTGEKPYE CEECEKVFSRKSHLERHKRIHTGEKPYKCKVCDKAFAYNSYLAKHSIIHTGEKPYKCNEC GKVFNQQSTLARHHRLHTAEKP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KPYKCKVCDKAFTCNSYLAKHTIIHTGEKPYKCNECGKVFNRLSTLARHRRLHTGEKPYECEECEKVFSRKSHLERHKRIHTGEKPYKCKVCDKAFAYNSYLAKHSIIHTGEKPYKCNECGKVFNQQSTLARHHRLHTAEKP |
| Prediction | CCCCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCHHHHCCCCCCCC |
| Confidence | 9845788886544422220011211589882178888653443342001032258898127888765144334110002115888811788886534433311010212588981178888652342321211133379797 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KPYKCKVCDKAFTCNSYLAKHTIIHTGEKPYKCNECGKVFNRLSTLARHRRLHTGEKPYECEECEKVFSRKSHLERHKRIHTGEKPYKCKVCDKAFAYNSYLAKHSIIHTGEKPYKCNECGKVFNQQSTLARHHRLHTAEKP |
| Prediction | 7546477431303341404413331334332647742130334240441333134333263774312033414144133313443326376432203341404413331343332547743130334140441333136648 |
| 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 | CCCCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCHHHHCCCCCCCC KPYKCKVCDKAFTCNSYLAKHTIIHTGEKPYKCNECGKVFNRLSTLARHRRLHTGEKPYECEECEKVFSRKSHLERHKRIHTGEKPYKCKVCDKAFAYNSYLAKHSIIHTGEKPYKCNECGKVFNQQSTLARHHRLHTAEKP | |||||||||||||||||||
| 1 | 5v3jE | 0.44 | 0.43 | 12.58 | 1.17 | DEthreader | EKPKCECGK-AFRYDTQLSLHLL-THAARRFECKD-CDKVYSCSQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRP | |||||||||||||
| 2 | 6ml2A | 0.43 | 0.42 | 12.38 | 4.86 | SPARKS-K | KSFTCDQCGKYFSQKRQLKSHYRVHTS--LPECSHCHRKFMDVSQLKKHLRTHTGEKPFTCEICGKSFTAKSSLQTHIRIHRGEKPYSCSICGKCFSDSSAKRRHCILHTGKKPFSCPECGLQFARLDNLKAHLKIHSKE-- | |||||||||||||
| 3 | 5v3gD | 0.51 | 0.51 | 14.88 | 1.03 | MapAlign | KPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGERN | |||||||||||||
| 4 | 2i13A | 0.55 | 0.54 | 15.42 | 0.82 | CEthreader | KPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH----- | |||||||||||||
| 5 | 5v3jE | 0.54 | 0.54 | 15.45 | 3.42 | MUSTER | RRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKP | |||||||||||||
| 6 | 5v3jE | 0.54 | 0.54 | 15.45 | 1.62 | HHsearch | RRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKP | |||||||||||||
| 7 | 5v3gD | 0.53 | 0.53 | 15.26 | 2.15 | FFAS-3D | KPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKP | |||||||||||||
| 8 | 6ml2A | 0.43 | 0.42 | 12.38 | 1.32 | EigenThreader | KSFTCDQCGKYFSQKRQLKSHYRVHT--SLPECSHCHRKFMDVSQLKKHLRTHTGEKPFTCEICGKSFTAKSSLQTHIRIHRGEKPYSCSICGKCFSDSSAKRRHCILHTGKKPFSCPECGLQFARLDNLKAHLKIHSKE-- | |||||||||||||
| 9 | 5v3mC | 0.51 | 0.51 | 14.88 | 6.32 | CNFpred | KPYKCQECGKAFPSNAQLSLHHRVHTDEKCFECKECGKAFMRPSHLLRHQRIHTGEKPHKCKECGKAFRYDTQLSLHLLTHAGARRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGETP | |||||||||||||
| 10 | 2i13A | 0.44 | 0.41 | 11.96 | 1.17 | DEthreader | KKCPE----CGKSFKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTH-TGEKPYKCPCGKSFSRRDALNVH-QR--T-H- | |||||||||||||
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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. |