| >Q8N7K0 (142 residues) KPYECKQCGKAFRSASQLQIHGRTHTGEKPYECKQCGKAFGSASHLQMHGRTHTGEKPYE CKQCGKSFGCASRLQMHGRTHTGEKPYKCKQCGKAFGCPSNLRRHGRTHTGEKPYKCNQC GKVFRCSSQLQVHGRAHCIDTP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KPYECKQCGKAFRSASQLQIHGRTHTGEKPYECKQCGKAFGSASHLQMHGRTHTGEKPYECKQCGKSFGCASRLQMHGRTHTGEKPYKCKQCGKAFGCPSNLRRHGRTHTGEKPYKCNQCGKVFRCSSQLQVHGRAHCIDTP |
| Prediction | CCCCCCCCCCSSCCCCCCCCSSCCCCCCCCSSCCCCCCSSCCCCCCCCSSCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSSCCCCCCSSCCCCCCCCSSCCCCCCCC |
| Confidence | 9834688876534444430121321589882178887652454442101132068998117888765345554300322205899820687776424544431120322589981168788653343443110123379697 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KPYECKQCGKAFRSASQLQIHGRTHTGEKPYECKQCGKAFGSASHLQMHGRTHTGEKPYECKQCGKSFGCASRLQMHGRTHTGEKPYKCKQCGKAFGCPSNLRRHGRTHTGEKPYKCNQCGKVFRCSSQLQVHGRAHCIDTP |
| Prediction | 7624476421103342414403231344332636743120334230441323134433263674312033424144132312333324473423002342414413231231332447543210334231441324136648 |
| 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 | CCCCCCCCCCSSCCCCCCCCSSCCCCCCCCSSCCCCCCSSCCCCCCCCSSCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSSCCCCCCSSCCCCCCCCSSCCCCCCCC KPYECKQCGKAFRSASQLQIHGRTHTGEKPYECKQCGKAFGSASHLQMHGRTHTGEKPYECKQCGKSFGCASRLQMHGRTHTGEKPYKCKQCGKAFGCPSNLRRHGRTHTGEKPYKCNQCGKVFRCSSQLQVHGRAHCIDTP | |||||||||||||||||||
| 1 | 2i13A | 0.56 | 0.52 | 15.01 | 1.33 | DEthreader | K-KCPE---CGKSFSKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH----- | |||||||||||||
| 2 | 6ml2A | 0.48 | 0.46 | 13.52 | 4.88 | SPARKS-K | KSFTCDQCGKYFSQKRQLKSHYRVHTS--LPECSHCHRKFMDVSQLKKHLRTHTGEKPFTCEICGKSFTAKSSLQTHIRIHRGEKPYSCSICGKCFSDSSAKRRHCILHTGKKPFSCPECGLQFARLDNLKAHLKIHSKE-- | |||||||||||||
| 3 | 2i13A | 0.59 | 0.57 | 16.37 | 1.00 | MapAlign | KPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH----- | |||||||||||||
| 4 | 2i13A | 0.59 | 0.57 | 16.37 | 0.84 | CEthreader | KPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH----- | |||||||||||||
| 5 | 5v3jE | 0.53 | 0.53 | 15.26 | 3.40 | MUSTER | RRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKP | |||||||||||||
| 6 | 5v3jE | 0.53 | 0.53 | 15.26 | 1.63 | HHsearch | RRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKP | |||||||||||||
| 7 | 5v3gD | 0.56 | 0.56 | 16.21 | 2.17 | FFAS-3D | KPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKP | |||||||||||||
| 8 | 6ml2A | 0.48 | 0.46 | 13.52 | 1.35 | EigenThreader | KSFTCDQCGKYFSQKRQLKSHYRVHT--SLPECSHCHRKFMDVSQLKKHLRTHTGEKPFTCEICGKSFTAKSSLQTHIRIHRGEKPYSCSICGKCFSDSSAKRRHCILHTGKKPFSCPECGLQFARLDNLKAHLKIHSKE-- | |||||||||||||
| 9 | 5v3mC | 0.56 | 0.56 | 16.02 | 6.74 | CNFpred | KCFECKECGKAFMRPSHLLRHQRIHTGEKPHKCKECGKAFRYDTQLSLHLLTHAGARRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKP | |||||||||||||
| 10 | 6wmiA | 0.40 | 0.39 | 11.43 | 1.33 | DEthreader | KLKCTVEGCDRTFVPAHFKYHLKTHRNDRSFICPAEGKSFYVLQRLKVHMRTHNGEKPFMCHECGKQFTTAGNLKNHRRIHTGEKPFLCEACGRSFAEYSSLRKHLVVHSGEKPHQCQVCGKTFSQSGSRNVHMRKH-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. |