>Q93091 (150 residues) MVLCFPLLLLLLVLWGPVCPLHAWPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHC KHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAA QYKFFIVACDPPQKSDPPYKLVPVHLDSIL |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MVLCFPLLLLLLVLWGPVCPLHAWPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQKSDPPYKLVPVHLDSIL |
Prediction | CSCHHHHHHHHHHHHHHHCCCCCCCCCCCHHHHHHHHCCCCCCCHHHHHHHHHCCCCCCCCCSSSSSCCCHHHHHHHHCCCCCCCCCCCCCCSCCCCCSSSSSSSSCCCCCCCCCCCCCCCSCSSSSSSCCCCCCCCCCCCCCSSCCCCC |
Confidence | 900179999999998750452116898867899999717999526899999845899998870477539989999874699825778987521169945679987068989998764323201499982799888888885344505649 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MVLCFPLLLLLLVLWGPVCPLHAWPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQKSDPPYKLVPVHLDSIL |
Prediction | 433433333232132112322334376433144034203346453034004426345551253100102427303400546714365445214416540401203146663460515446644100000245456455232000013547 |
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 | | | | | | | | |||||||||||||
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SS Seq | CSCHHHHHHHHHHHHHHHCCCCCCCCCCCHHHHHHHHCCCCCCCHHHHHHHHHCCCCCCCCCSSSSSCCCHHHHHHHHCCCCCCCCCCCCCCSCCCCCSSSSSSSSCCCCCCCCCCCCCCCSCSSSSSSCCCCCCCCCCCCCCSSCCCCC MVLCFPLLLLLLVLWGPVCPLHAWPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQKSDPPYKLVPVHLDSIL | |||||||||||||||||||
1 | 4x09A | 0.90 | 0.74 | 20.81 | 1.17 | DEthreader | --------------------M--WPKRLTKAHWFEIQHIQSPLQ-CNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCD-LLSIVCKNRRNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQ--DPPYKLVPVHLDSIL | |||||||||||||
2 | 4x09A | 0.99 | 0.85 | 23.71 | 5.58 | SPARKS-K | ----------------------MWPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQKSDPPYKLVPVHLDSIL | |||||||||||||
3 | 4x09A | 1.00 | 0.85 | 23.71 | 1.21 | MapAlign | -----------------------WPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQKSDPPYKLVPVHLDSIL | |||||||||||||
4 | 4x09A | 0.99 | 0.85 | 23.71 | 1.08 | CEthreader | ----------------------MWPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQKSDPPYKLVPVHLDSIL | |||||||||||||
5 | 4x09A | 0.99 | 0.85 | 23.71 | 3.71 | MUSTER | ----------------------MWPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQKSDPPYKLVPVHLDSIL | |||||||||||||
6 | 4x09A | 0.99 | 0.85 | 23.71 | 2.85 | HHsearch | ----------------------MWPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQKSDPPYKLVPVHLDSIL | |||||||||||||
7 | 4x09A | 1.00 | 0.85 | 23.71 | 1.95 | FFAS-3D | -----------------------WPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQKSDPPYKLVPVHLDSIL | |||||||||||||
8 | 4x09A | 0.98 | 0.83 | 23.35 | 1.22 | EigenThreader | ----------------------MWPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQKSDPPYKLVPVHLDSL- | |||||||||||||
9 | 4x09A | 0.99 | 0.85 | 23.71 | 3.65 | CNFpred | ----------------------MWPKRLTKAHWFEIQHIQPSPLQCNRAMSGINNYTQHCKHQNTFLHDSFQNVAAVCDLLSIVCKNRRHNCHQSSKPVNMTDCRLTSGKYPQCRYSAAAQYKFFIVACDPPQKSDPPYKLVPVHLDSIL | |||||||||||||
10 | 1qmtA | 0.43 | 0.35 | 10.36 | 1.17 | DEthreader | -----------------------P-PQFTRAQWFAIQHISLNPPRCTIAMRAINNYRWRCKNQNTFLRTTFANVVNVCG-NQSIRCPRTLNCHRSRFRVPLLHCDLINQNISNCRYADRPGRRFYVVACDNRD--DSPYPVVPVHLDTTI | |||||||||||||
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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, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homology proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. In preparation, 2020. |