| >Q96AX1 (142 residues) MAAHLSYGRVNLNVLREAVRRELREFLDKCAGSKAIVWDEYLTGPFGLIAQYSLLKEHEV EKMFTLKGNRLPAADVKNIIFFVRPRLELMDIIAENVLSEDRRGPTRDFHILFVPRRSLL CEQRLKDLGVLGSFIHREEYSL |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAHLSYGRVNLNVLREAVRRELREFLDKCAGSKAIVWDEYLTGPFGLIAQYSLLKEHEVEKMFTLKGNRLPAADVKNIIFFVRPRLELMDIIAENVLSEDRRGPTRDFHILFVPRRSLLCEQRLKDLGVLGSFIHREEYSL |
| Prediction | CCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCCSSSSSCHHHHHHHHHHCCHHHHHHCCCSSSSSSCCCCCCCCCCCSSSSSSCCCHHHHHHHHHHHHHHHCCCCCCCSSSSSSCCCHHHHHHHHHHCCCCCCCSSSSSCCC |
| Confidence | 9998888987899999999999999997099965999843676578765022368871951799817999898777739999879889999999999985304888618999975927999999999098566336654269 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAHLSYGRVNLNVLREAVRRELREFLDKCAGSKAIVWDEYLTGPFGLIAQYSLLKEHEVEKMFTLKGNRLPAADVKNIIFFVRPRLELMDIIAENVLSEDRRGPTRDFHILFVPRRSLLCEQRLKDLGVLGSFIHREEYSL |
| Prediction | 7444277341315303530353025005716342000014403420431253630463404322414575255550420000011416204300520453477555240100000311310441057340333224245268 |
| 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 | CCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCCSSSSSCHHHHHHHHHHCCHHHHHHCCCSSSSSSCCCCCCCCCCCSSSSSSCCCHHHHHHHHHHHHHHHCCCCCCCSSSSSSCCCHHHHHHHHHHCCCCCCCSSSSSCCC MAAHLSYGRVNLNVLREAVRRELREFLDKCAGSKAIVWDEYLTGPFGLIAQYSLLKEHEVEKMFTLKGNRLPAADVKNIIFFVRPRLELMDIIAENVLSEDRRGPTRDFHILFVPRRSLLCEQRLKDLGVLGSFIHREEYSL | |||||||||||||||||||
| 1 | 4jc8A1 | 0.31 | 0.29 | 8.73 | 1.33 | DEthreader | --------GFDAEQVRDKARKDLLHLLEGVRGKKNLVIEKDLAGPLGVIVKASTLRDYGVDNFFFLE-NKNTGTSQRNIVFIARGSVRNAHAIAAQIKRIQRESQSHDFHIFWVPRRTLFSDKVLEEAGVLGDA-NISELPL | |||||||||||||
| 2 | 4bx8A1 | 1.00 | 0.99 | 27.80 | 2.28 | SPARKS-K | -AAHLSYGRVNLNVLREAVRRELREFLDKCAGSKAIVWDEYLTGPFGLIAQYSLLKEHEVEKMFTLKGNRLPAADVKNIIFFVRPRLELMDIIAENVLSEDRRGPTRDFHILFVPRRSLLCEQRLKDLGVLGSFIHREEYSL | |||||||||||||
| 3 | 4jc8A1 | 0.32 | 0.29 | 8.70 | 0.84 | MapAlign | -----------AEQVRDKARKDLLHLLEGVRGKKNLVIEKDLAGPLGVIVKASTLRDYGVDNFFFLENKNT-GTSQRNIVFIARGEVRNAHAIAAQIKRIQRESQTSDFHIFWVPRRTLFSDKVLEEAGVLGDA-NISELPL | |||||||||||||
| 4 | 4jc8A1 | 0.31 | 0.29 | 8.73 | 0.90 | CEthreader | -------AGFDAEQVRDKARKDLLHLLEGVRGKKNLVIEKDLAGPLGVIVKASTLRDYGVDNFFFLENKNT-GTSQRNIVFIARGEVRNAHAIAAQIKRIQRESQTSDFHIFWVPRRTLFSDKVLEEAGVLGD-ANISELPL | |||||||||||||
| 5 | 4bx8A1 | 1.00 | 0.99 | 27.80 | 2.29 | MUSTER | -AAHLSYGRVNLNVLREAVRRELREFLDKCAGSKAIVWDEYLTGPFGLIAQYSLLKEHEVEKMFTLKGNRLPAADVKNIIFFVRPRLELMDIIAENVLSEDRRGPTRDFHILFVPRRSLLCEQRLKDLGVLGSFIHREEYSL | |||||||||||||
| 6 | 4jc8A1 | 0.30 | 0.28 | 8.54 | 3.15 | HHsearch | -------AGFDAEQVRDKARKDLLHLLEGVRGKKNLVIEKDLAGPLGVIVKASTLRDYGVDNFFFLENKNTGT-SQRNIVFIARGEVRNAHAIAAQIKRIQREQTSHDFHIFWVPRRTLFSDKVLEEAGVLGDAN-ISELPL | |||||||||||||
| 7 | 4bx8A1 | 1.00 | 0.99 | 27.80 | 2.17 | FFAS-3D | -AAHLSYGRVNLNVLREAVRRELREFLDKCAGSKAIVWDEYLTGPFGLIAQYSLLKEHEVEKMFTLKGNRLPAADVKNIIFFVRPRLELMDIIAENVLSEDRRGPTRDFHILFVPRRSLLCEQRLKDLGVLGSFIHREEYSL | |||||||||||||
| 8 | 4bx8A1 | 0.98 | 0.92 | 25.85 | 0.68 | EigenThreader | --------AAHLNVLREAVRRELREFLDKCAGSKAIVWDEYLTGPFGLIAQYSLLKEHEVEKMFTLKGNRLPAADVKNIIFFVRPRLELMDIIAENVLSEDRRGPTRDFHILFVPRRSLLCEQRLKDLGVLGSFIHREEYSL | |||||||||||||
| 9 | 4bx8A | 1.00 | 0.99 | 27.80 | 1.82 | CNFpred | -AAHLSYGRVNLNVLREAVRRELREFLDKCAGSKAIVWDEYLTGPFGLIAQYSLLKEHEVEKMFTLKGNRLPAADVKNIIFFVRPRLELMDIIAENVLSEDRRGPTRDFHILFVPRRSLLCEQRLKDLGVLGSFIHREEYSL | |||||||||||||
| 10 | 4jc8A | 0.31 | 0.29 | 8.73 | 1.33 | DEthreader | --------GFDAEQVRDKARKDLLHLLEGVRGKKNLVIEKDLAGPLGVIVKASTLRDYGVDNFFFLE-NKNTGTSQRNIVFIARGSVRNAHAIAAQIKRIQRESQSHDFHIFWVPRRTLFSDKVLEEAGVLGDA-NISELPL | |||||||||||||
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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. |