| >Q86SS6 (141 residues) VDLGELMFSLCYLPTAGRLTITIIKARNLKAMDITGASDPYVKVSLMCDGRRLKKRKTST KRNTLNPVYNEAIVFDVPPENIDQIHLSIAVMDYDRVGHNEIIGVCQVGNEAERLGRDHW SEMLSYPRKPIAHWHSLVEKR |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | VDLGELMFSLCYLPTAGRLTITIIKARNLKAMDITGASDPYVKVSLMCDGRRLKKRKTSTKRNTLNPVYNEAIVFDVPPENIDQIHLSIAVMDYDRVGHNEIIGVCQVGNEAERLGRDHWSEMLSYPRKPIAHWHSLVEKR |
| Prediction | CCCSSSSSSSSSSCCCCSSSSSSSSSCCCCCCCCCCCCCSSSSSSSSCCCCSSSSSSCCSSCCCCCCCCCSSSSSSSCHHHCCCCSSSSSSSSCCCCCCCCSSSSSSSCCCCCCCHHHHHHHHHHCCCCSSSSSSSCCCCC |
| Confidence | 941389999999289997999999951999878898989079999974991452684224619999643526999836553688589999994899888754479998450066237899999967998341425377899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | VDLGELMFSLCYLPTAGRLTITIIKARNLKAMDITGASDPYVKVSLMCDGRRLKKRKTSTKRNTLNPVYNEAIVFDVPPENIDQIHLSIAVMDYDRVGHNEIIGVCQVGNEAERLGRDHWSEMLSYPRKPIAHWHSLVEKR |
| Prediction | 773440201021337544330201204444446675311010102024676434434032345322041344040404474167243301011334144522012020317536443610340174564434552544578 |
| 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 | CCCSSSSSSSSSSCCCCSSSSSSSSSCCCCCCCCCCCCCSSSSSSSSCCCCSSSSSSCCSSCCCCCCCCCSSSSSSSCHHHCCCCSSSSSSSSCCCCCCCCSSSSSSSCCCCCCCHHHHHHHHHHCCCCSSSSSSSCCCCC VDLGELMFSLCYLPTAGRLTITIIKARNLKAMDITGASDPYVKVSLMCDGRRLKKRKTSTKRNTLNPVYNEAIVFDVPPENIDQIHLSIAVMDYDRVGHNEIIGVCQVGNEAERLGRDHWSEMLSYPRKPIAHWHSLVEKR | |||||||||||||||||||
| 1 | 2r83A | 0.51 | 0.51 | 14.79 | 1.50 | DEthreader | EKLGDICFSLRYVPTAGKLTVVILEAKNLKKMDVGGLSDPYVKIHLMQNGKRLKKKKTTIKKNTLNPYYNESFSFEVPFEQIQKVQVVVTVLDYDKIGKNDAIGKVFVGYNSTGAELRHWSDMLANPRRPIAQWHTLQVEE | |||||||||||||
| 2 | 3n5aA | 0.46 | 0.45 | 13.23 | 2.38 | SPARKS-K | -SRGELLLSLCYNPSANSIIVNIIKARNLKAMDIGGTSDPYVKVWLMYKDKRVEKKKTVTKKRNLNPIFNESFAFDIPTEKLRETTIIITVMDKDKLSRNDVIGKIYLSWKSGPGEVKHWKDMIARPRQPVAQWHQLKA-- | |||||||||||||
| 3 | 2r83A | 0.52 | 0.51 | 14.77 | 1.03 | MapAlign | -KLGDICFSLRYVPTAGKLTVVILEAKNLKKMDVGGLSDPYVKIHLMQNGKRLKKKKTTIKKNTLNPYYNESFSFEVPFEQIQKVQVVVTVLDYDKIGKNDAIGKVFVGYNSTGAELRHWSDMLANPRRPIAQWHTLQVE- | |||||||||||||
| 4 | 2r83A | 0.51 | 0.51 | 14.79 | 0.67 | CEthreader | EKLGDICFSLRYVPTAGKLTVVILEAKNLKKMDVGGLSDPYVKIHLMQNGKRLKKKKTTIKKNTLNPYYNESFSFEVPFEQIQKVQVVVTVLDYDKIGKNDAIGKVFVGYNSTGAELRHWSDMLANPRRPIAQWHTLQVEE | |||||||||||||
| 5 | 2r83A2 | 0.51 | 0.51 | 14.79 | 1.86 | MUSTER | EKLGDICFSLRYVPTAGKLTVVILEAKNLKKMDVGGLSDPYVKIHLMQNGKRLKKKKTTIKKNTLNPYYNESFSFEVPFEQIQKVQVVVTVLDYDKIGKNDAIGKVFVGYNSTGAELRHWSDMLANPRRPIAQWHTLQVEE | |||||||||||||
| 6 | 2r83A | 0.51 | 0.51 | 14.79 | 1.76 | HHsearch | EKLGDICFSLRYVPTAGKLTVVILEAKNLKKMDVGGLSDPYVKIHLMQNGKRLKKKKTTIKKNTLNPYYNESFSFEVPFEQIQKVQVVVTVLDYDKIGKNDAIGKVFVGYNSTGAELRHWSDMLANPRRPIAQWHTLQVEE | |||||||||||||
| 7 | 3n5aA | 0.46 | 0.45 | 13.23 | 2.39 | FFAS-3D | -SRGELLLSLCYNPSANSIIVNIIKARNLKAMDIGGTSDPYVKVWLMYKDKRVEKKKTVTKKRNLNPIFNESFAFDIPTEKLRETTIIITVMDKDKLSRNDVIGKIYLSWKSGPGEVKHWKDMIARPRQPVAQWHQLKA-- | |||||||||||||
| 8 | 2r83A2 | 0.51 | 0.51 | 14.79 | 0.95 | EigenThreader | EKLGDICFSLRYVPTAGKLTVVILEAKNLKKMDVGGLSDPYVKIHLMQNGKRLKKKKTTIKKNTLNPYYNESFSFEVPFEQIQKVQVVVTVLDYDKIGKNDAIGKVFVGYNSTGAELRHWSDMLANPRRPIAQWHTLQVEE | |||||||||||||
| 9 | 5ccjA | 0.50 | 0.50 | 14.60 | 2.35 | CNFpred | EKLGDICFSLAYVPTAGKLTVVILAAKNLKKMDVGGLSDPYVKIHLMQNGKRLKKKKTTIKKNTLNPWYNESFSFEVPFEQIQKVQVVVTVLDYDKIGKNDAIGKVFVGYNSTGAELRHWSDMLANPAAPIAQWHTLQVEE | |||||||||||||
| 10 | 2r83A2 | 0.51 | 0.51 | 14.79 | 1.50 | DEthreader | EKLGDICFSLRYVPTAGKLTVVILEAKNLKKMDVGGLSDPYVKIHLMQNGKRLKKKKTTIKKNTLNPYYNESFSFEVPFEQIQKVQVVVTVLDYDKIGKNDAIGKVFVGYNSTGAELRHWSDMLANPRRPIAQWHTLQVEE | |||||||||||||
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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. |