| >P34096 (147 residues) MALQRTHSLLLLLLLTLLGLGLVQPSYGQDGMYQRFLRQHVHPEETGGSDRYCNLMMQRR KMTLYHCKRFNTFIHEDIWNIRSICSTTNIQCKNGKMNCHEGVVKVTDCRDTGSSRAPNC RYRAIASTRRVVIACEGNPQVPVHFDG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MALQRTHSLLLLLLLTLLGLGLVQPSYGQDGMYQRFLRQHVHPEETGGSDRYCNLMMQRRKMTLYHCKRFNTFIHEDIWNIRSICSTTNIQCKNGKMNCHEGVVKVTDCRDTGSSRAPNCRYRAIASTRRVVIACEGNPQVPVHFDG |
| Prediction | CCCHHHHHHHHHHHHHHHHHHHSCCCCCCCCHHHHHHHHCCCCCCCCCCCHHHHHHHHHHCCCCCCCCCCSSSSCCCHHHHHHHHCCCCCCCCCCCSSSSCCCSSSSSSSSCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCCSSCCC |
| Confidence | 971166799999999999986206676877189999997468988999822678999871678998887036764998999987169971067898225367115179984489989997621101113499983699731414169 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MALQRTHSLLLLLLLTLLGLGLVQPSYGQDGMYQRFLRQHVHPEETGGSDRYCNLMMQRRKMTLYHCKRFNTFIHEDIWNIRSICSTTNIQCKNGKMNCHEGVVKVTDCRDTGSSRAPNCRYRAIASTRRVVIACEGNPQVPVHFDG |
| Prediction | 764543322133323312320202233557341440342013375574545202400442524564135310000142730440154662436444431362404013031366763450525346544200000375431000138 |
| 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 | CCCHHHHHHHHHHHHHHHHHHHSCCCCCCCCHHHHHHHHCCCCCCCCCCCHHHHHHHHHHCCCCCCCCCCSSSSCCCHHHHHHHHCCCCCCCCCCCSSSSCCCSSSSSSSSCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCCSSCCC MALQRTHSLLLLLLLTLLGLGLVQPSYGQDGMYQRFLRQHVHPEETGGSDRYCNLMMQRRKMTLYHCKRFNTFIHEDIWNIRSICSTTNIQCKNGKMNCHEGVVKVTDCRDTGSSRAPNCRYRAIASTRRVVIACEGNPQVPVHFDG | |||||||||||||||||||
| 1 | 2rnfA | 0.94 | 0.76 | 21.38 | 1.17 | DEthreader | ------------------------M---QDGMYQRFLRQHVHPEETGGSDRYCNLMMQRRKMTLYHCKRFNTFIHEDIWNIRSIC-STTNIQCNGKMNCHEGVVKVTDCRDTGSSRAPNCRYRAIASTRRVVIACEGNPQVPVHFDG | |||||||||||||
| 2 | 2rnfA | 0.99 | 0.81 | 22.67 | 4.79 | SPARKS-K | ---------------------------MQDGMYQRFLRQHVHPEETGGSDRYCNLMMQRRKMTLYHCKRFNTFIHEDIWNIRSICSTTNIQCKNGKMNCHEGVVKVTDCRDTGSSRAPNCRYRAIASTRRVVIACEGNPQVPVHFDG | |||||||||||||
| 3 | 2rnfA | 1.00 | 0.81 | 22.67 | 1.26 | MapAlign | ----------------------------QDGMYQRFLRQHVHPEETGGSDRYCNLMMQRRKMTLYHCKRFNTFIHEDIWNIRSICSTTNIQCKNGKMNCHEGVVKVTDCRDTGSSRAPNCRYRAIASTRRVVIACEGNPQVPVHFDG | |||||||||||||
| 4 | 2rnfA | 0.99 | 0.81 | 22.67 | 1.08 | CEthreader | ---------------------------MQDGMYQRFLRQHVHPEETGGSDRYCNLMMQRRKMTLYHCKRFNTFIHEDIWNIRSICSTTNIQCKNGKMNCHEGVVKVTDCRDTGSSRAPNCRYRAIASTRRVVIACEGNPQVPVHFDG | |||||||||||||
| 5 | 2rnfA | 0.99 | 0.81 | 22.67 | 3.36 | MUSTER | ---------------------------MQDGMYQRFLRQHVHPEETGGSDRYCNLMMQRRKMTLYHCKRFNTFIHEDIWNIRSICSTTNIQCKNGKMNCHEGVVKVTDCRDTGSSRAPNCRYRAIASTRRVVIACEGNPQVPVHFDG | |||||||||||||
| 6 | 3mwqA | 0.38 | 0.38 | 11.28 | 2.96 | HHsearch | NCAYKTTQANKHIIVACEGNGRSGRSGKE-TAAAKFERQHMDSSTSASSSNYCNQMMKSRNLTKDRCKPVNTFVHESLADVQAVCSQKNVACKNGQTNCYQSTMSITDCRETGSSKYPNCAYKTTQANKHIIVACEGNPYVPVHFDA | |||||||||||||
| 7 | 2rnfA | 1.00 | 0.81 | 22.67 | 2.00 | FFAS-3D | ----------------------------QDGMYQRFLRQHVHPEETGGSDRYCNLMMQRRKMTLYHCKRFNTFIHEDIWNIRSICSTTNIQCKNGKMNCHEGVVKVTDCRDTGSSRAPNCRYRAIASTRRVVIACEGNPQVPVHFDG | |||||||||||||
| 8 | 1rraA | 0.44 | 0.35 | 10.36 | 1.18 | EigenThreader | ----------------------------AESSADKFKRQHMDTEGPSSSPTYCNQMMKRQGMTKGSCKPVNTFVHEPLEDVQAICSQGQVTCKNGRNCHKSSTLRITDCRLKGSSKYPNCDYTTTDSQKHIIIACDGNPYVPVHFDA | |||||||||||||
| 9 | 1rnfA | 1.00 | 0.81 | 22.67 | 2.81 | CNFpred | ----------------------------QDGMYQRFLRQHVHPEETGGSDRYCNLMMQRRKMTLYHCKRFNTFIHEDIWNIRSICSTTNIQCKNGKMNCHEGVVKVTDCRDTGSSRAPNCRYRAIASTRRVVIACEGNPQVPVHFDG | |||||||||||||
| 10 | 1k59A | 0.39 | 0.31 | 9.04 | 1.17 | DEthreader | ---------------------------D-NSRYTHFLTQHYDAKPQGRDDRYCESIMRRRGLTSP-CKDINTFIHGNKRSIKAICENKGNPHRE--NLRISKSFQVTTCKLHGGSPWPPCQYRATAGFRNVVVAC-ENG-LPVHLDI | |||||||||||||
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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. |