| >P13682 (142 residues) GEKPYECKECGKAFSCFSHLIVHQRIHTAEKPYDCSECGKAFSQLSCLIVHQRIHSGDLP YVCNECGKAFTCSSYLLIHQRIHNGEKPYTCNECGKAFRQRSSLTVHQRTHTGEKPYECE KCGAAFISNSHLMRHHRTHLVE |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | GEKPYECKECGKAFSCFSHLIVHQRIHTAEKPYDCSECGKAFSQLSCLIVHQRIHSGDLPYVCNECGKAFTCSSYLLIHQRIHNGEKPYTCNECGKAFRQRSSLTVHQRTHTGEKPYECEKCGAAFISNSHLMRHHRTHLVE |
| Prediction | CCCCCCCCCCCCSSCCCCCCCCSSCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCSSSCCSCCCCCSCCCCCCCSSCCCCCHHHHHCCCCCC |
| Confidence | 9988306888865334223100112205888821787876424433320120312588981278887653454341001122058898227888765334233200222225898812788876523322212210233799 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | GEKPYECKECGKAFSCFSHLIVHQRIHTAEKPYDCSECGKAFSQLSCLIVHQRIHSGDLPYVCNECGKAFTCSSYLLIHQRIHNGEKPYTCNECGKAFRQRSSLTVHQRTHTGEKPYECEKCGAAFISNSHLMRHHRTHLVE |
| Prediction | 8744364774213033414044132313443326377412203341404413231344332637741120334240441323134433263674323033424144133313443326477422303341414413342468 |
| 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 | CCCCCCCCCCCCSSCCCCCCCCSSCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCSSSCCSCCCCCSCCCCCCCSSCCCCCHHHHHCCCCCC GEKPYECKECGKAFSCFSHLIVHQRIHTAEKPYDCSECGKAFSQLSCLIVHQRIHSGDLPYVCNECGKAFTCSSYLLIHQRIHNGEKPYTCNECGKAFRQRSSLTVHQRTHTGEKPYECEKCGAAFISNSHLMRHHRTHLVE | |||||||||||||||||||
| 1 | 2i13A | 0.53 | 0.49 | 14.25 | 1.17 | DEthreader | -KP-KCPE----CGKSFKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH--- | |||||||||||||
| 2 | 6ml2A | 0.43 | 0.42 | 12.39 | 4.88 | SPARKS-K | -SKSFTCDQCGKYFSQKRQLKSHYRVHTS--LPECSHCHRKFMDVSQLKKHLRTHTGEKPFTCEICGKSFTAKSSLQTHIRIHRGEKPYSCSICGKCFSDSSAKRRHCILHTGKKPFSCPECGLQFARLDNLKAHLKIHSKE | |||||||||||||
| 3 | 5v3gD | 0.58 | 0.58 | 16.78 | 1.05 | MapAlign | SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
| 4 | 5v3gD | 0.58 | 0.58 | 16.78 | 0.84 | CEthreader | SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
| 5 | 5v3jE | 0.58 | 0.57 | 16.39 | 3.38 | MUSTER | GEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT-- | |||||||||||||
| 6 | 5v3jE | 0.58 | 0.57 | 16.39 | 1.63 | HHsearch | GEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT-- | |||||||||||||
| 7 | 5v3gD | 0.58 | 0.58 | 16.78 | 2.17 | FFAS-3D | SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
| 8 | 5v3gD | 0.58 | 0.58 | 16.78 | 1.40 | EigenThreader | SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
| 9 | 5v3gA | 0.58 | 0.58 | 16.78 | 6.54 | CNFpred | SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
| 10 | 5t0uA | 0.34 | 0.32 | 9.70 | 1.17 | DEthreader | --T-KCHL--C-GRAFRTLLRNHLNTHTGTRPHKCPDCDMAFVTSGELVRHRRYHTHEKPFKCSMCDYASVEVSKLKRHIRSHTGERPFQCSLCSYASRDTYKLKRHMRTHSGEKPYECYICHARFTQSGTMKMHILQKHTE | |||||||||||||
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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. |