| >Q9H114 (145 residues) MGIGCWRNPLLLLIALVLSAKLGHFQRWEGFQQKLMSKKNMNSTLNFFIQSYNNASNDTY LYRVQRLIRSQMQLTTGVEYIVTVKIGWTKCKRNDTSNSSCPLQSKKLRKSLICESLIYT MPWINYFQLWNNSCLEAEHVGRNLR |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGIGCWRNPLLLLIALVLSAKLGHFQRWEGFQQKLMSKKNMNSTLNFFIQSYNNASNDTYLYRVQRLIRSQMQLTTGVEYIVTVKIGWTKCKRNDTSNSSCPLQSKKLRKSLICESLIYTMPWINYFQLWNNSCLEAEHVGRNLR |
| Prediction | CCCCHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHCCCCCCSSSSSSSSSSSSSCCCCSSSSSSSSSSSCCCCCCCCCCCCCCCCCCCCCSSSSSSSSSSSCCCCCSSSSSSSSCCCCCCCCCCC |
| Confidence | 9842247999999999996303666555887328999689999999999999986599750478999999998517846999999997225578887446888787555169999999982599905975724026888765579 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGIGCWRNPLLLLIALVLSAKLGHFQRWEGFQQKLMSKKNMNSTLNFFIQSYNNASNDTYLYRVQRLIRSQMQLTTGVEYIVTVKIGWTKCKRNDTSNSSCPLQSKKLRKSLICESLIYTMPWINYFQLWNNSCLEAEHVGRNLR |
| Prediction | 7544313110111001011133344542242672636374035005200541166364413131330341444434443020203034150545665464041657744442304030213315533503445056374456538 |
| 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 | CCCCHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHCCCCCCSSSSSSSSSSSSSCCCCSSSSSSSSSSSCCCCCCCCCCCCCCCCCCCCCSSSSSSSSSSSCCCCCSSSSSSSSCCCCCCCCCCC MGIGCWRNPLLLLIALVLSAKLGHFQRWEGFQQKLMSKKNMNSTLNFFIQSYNNASNDTYLYRVQRLIRSQMQLTTGVEYIVTVKIGWTKCKRNDTSNSSCPLQSKKLRKSLICESLIYTMPWINYFQLWNNSCLEAEHVGRNLR | |||||||||||||||||||
| 1 | 2ch9A | 0.24 | 0.19 | 6.01 | 1.17 | DEthreader | -----------------------VK--PGFPKTIKTNDPGVLQAARYSVEKFNNCTNDMFLFKESRITRALVQIVKGLKYMLEVEIGRTTCKKNQLRLDDCDFQTNHLKQTLSCYSEVWVVPWLQHFEVPVLRCHHHHH--H--- | |||||||||||||
| 2 | 6uioA | 0.26 | 0.20 | 6.17 | 2.82 | SPARKS-K | --------------------------AQNYFGSINISNANVKQAVWFAMKEYNKESEDKYVFLVDKILHAKLQITDRMEYQIDVQISRSNCKKPLNNTENCIPQKPELEKKMSCSFLVGALPWNGEFNLLSKECKDV-------- | |||||||||||||
| 3 | 4n6oB | 0.26 | 0.19 | 5.97 | 1.16 | MapAlign | ----------------------------GELRDLSPDDPQVQKAAQAAVASYNMGSNSIYYFRDTHIIKAQSQLVAGIKYFLTMEMGSTDCRKDHVDLTTCPLAAGAQQEKLRCDFEVLVVPWQNSSQLLKHNCVQM-------- | |||||||||||||
| 4 | 4n6oB | 0.25 | 0.19 | 5.97 | 0.92 | CEthreader | ----------------------------GELRDLSPDDPQVQKAAQAAVASYNMGSNSIYYFRDTHIIKAQSQLVAGIKYFLTMEMGSTDCRKTRVDLTTCPLAAGAQQEKLRCDFEVLVVPWQNSSQLLKHNCVQML------- | |||||||||||||
| 5 | 2ch9A | 0.24 | 0.21 | 6.44 | 2.25 | MUSTER | ----------------TCSQDLNSRVKPGFPKTIKTNDPGVLQAARYSVEKFNNCTNDMFLFKESRITRALVQIVKGLKYMLEVEIGRTTCKKNQLRLDDCDFQTNTLKQTLSCYSEVWVVPWLQHFEVPVLRCHHHHHH----- | |||||||||||||
| 6 | 6sazB1 | 0.13 | 0.11 | 3.81 | 2.21 | HHsearch | ------------------------ALNPSALLSRGCNDSDVLAVAGFALRDINKDRKDGYVLRLNRVNDAQEYRGLGSLFYLTLDVLETDCHVLRKAWQDCGMRIFFESVYGQCKAIFYMNNPSRVLYLAAYNCTLRPVRTAECP | |||||||||||||
| 7 | 6uioA | 0.26 | 0.19 | 5.97 | 1.77 | FFAS-3D | ----------------------------NYFGSINISNANVKQAVWFAMKEYNKESEDKYVFLVDKILHAKLQITDRMEYQIDVQISRSNCKKPLNNTENIPQKKPELEKKMSCSFLVGALPWNGEFNLLSKECKDV-------- | |||||||||||||
| 8 | 2ch9A | 0.23 | 0.19 | 6.07 | 1.08 | EigenThreader | TCSQDL----------------NSRVKPGFPKTIKTNDPGVLQAARYSVEKFNNCTNDMFLFKESRITRALVQIVKGLKYMLEVEIGRTTCKKNQLRLDDCDFQTNHLKQTLSCYSEVWVVPWLQHFEVPVLRCHHHHHH----- | |||||||||||||
| 9 | 6uioA | 0.27 | 0.21 | 6.35 | 1.81 | CNFpred | --------------------------AQNYFGSINISNANVKQAVWFAMKEYNKESEDKYVFLVDKILHAKLQITDRMEYQIDVQISRSNCKKPLNNTENCIPQKKELEKKMSCSFLVGALPWNGEFNLLSKECKDV-------- | |||||||||||||
| 10 | 1yvbI | 0.30 | 0.23 | 6.90 | 1.17 | DEthreader | ----------------------R--LL-GAPVPVDENDEGLQRALQFAMAEYNRASNDKYSSRVVRVISAKRQLVSGIKYILQVEIGRTTCPKSSGDLQSCEFHDEPMAKYTTCTFVVYSIPWLNQIKLLESKCQ---------- | |||||||||||||
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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. |