>Q9P2R3 (150 residues) KVNELTKHRQTALHLAAQQDLPTICSVLLENGVDFAAVDENGNNALHLAVMHGRLNNIRV LLTECTVDAEAFNLRGQSPLHILGQYGKENAAAIFDLFLECMPGYPLDKPDADGSTVLLL AYMKGNANLCRAIVRSGARLGVNNNQGVNI |
Sequence |
20 40 60 80 100 120 140 | | | | | | | KVNELTKHRQTALHLAAQQDLPTICSVLLENGVDFAAVDENGNNALHLAVMHGRLNNIRVLLTECTVDAEAFNLRGQSPLHILGQYGKENAAAIFDLFLECMPGYPLDKPDADGSTVLLLAYMKGNANLCRAIVRSGARLGVNNNQGVNI |
Prediction | CCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCC |
Confidence | 977767999967999999299999999999099877767999987999999499999999997039987766899998799999929988999999988753499888778999987999999499999999999099888767999369 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | KVNELTKHRQTALHLAAQQDLPTICSVLLENGVDFAAVDENGNNALHLAVMHGRLNNIRVLLTECTVDAEAFNLRGQSPLHILGQYGKENAAAIFDLFLECMPGYPLDKPDADGSTVLLLAYMKGNANLCRAIVRSGARLGVNNNQGVNI |
Prediction | 855551764310101004442320041137350403331654410201003421330040103644041233165440010100444243003004212514540503441754300101003422230040306340412441563544 |
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 | CCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCC KVNELTKHRQTALHLAAQQDLPTICSVLLENGVDFAAVDENGNNALHLAVMHGRLNNIRVLLTECTVDAEAFNLRGQSPLHILGQYGKENAAAIFDLFLECMPGYPLDKPDADGSTVLLLAYMKGNANLCRAIVRSGARLGVNNNQGVNI | |||||||||||||||||||
1 | 4cymD | 0.24 | 0.23 | 7.27 | 1.50 | DEthreader | TPFSRDDRGHTPLHVAAVCGQASLIDLLVSKGAMVNATDYHGATPLHLACQKGYQSVTLLLLH-YKASAEVQDNNGNTPLHLACTYG---HEDCVKALVYYDESCRLDIGNEKGDTPLHIAARWGYQGVIETLLQNGASTEIQNRLKETL | |||||||||||||
2 | 4cymD | 0.25 | 0.24 | 7.45 | 2.33 | SPARKS-K | TPFSRDDRGHTPLHVAAVCGQASLIDLLVSKGAMVNATDYHGATPLHLACQKGYQSVTLLLLHY-KASAEVQDNNGNTPLHLACTYGHE---DCVKALVYYDVSCRLDIGNEKGDTPLHIAARWGYQGVIETLLQNGASTEIQNRLKETP | |||||||||||||
3 | 4b93B | 0.22 | 0.21 | 6.71 | 0.50 | MapAlign | -VNVTSQDGSSPLHVAALHGRADLIPLLLKHGANAGARNADQAVPLHLACQQGHFQVVKCLLDSN-AKPNKKDLSGNTPLIYACSGG---HHELVALLLQHG--ASINASNNKGNTALHEAVIEKHVFVVELLLLHGASVQVLNKRQRTA | |||||||||||||
4 | 4b93B | 0.23 | 0.22 | 6.90 | 0.33 | CEthreader | GVNVTSQDGSSPLHVAALHGRADLIPLLLKHGANAGARNADQAVPLHLACQQGHFQVVKCLLDS-NAKPNKKDLSGNTPLIYACSGGH---HELVALLLQH--GASINASNNKGNTALHEAVIEKHVFVVELLLLHGASVQVLNKRQRTA | |||||||||||||
5 | 4o60A | 0.30 | 0.29 | 8.70 | 1.62 | MUSTER | DINATDLFGLTPLHFAATNGHLELVKLLLEKGADINAVDDVGVTPLHFAARNGHLELVKLLLEK-GADINAMDMVGPTPLHFAAKNGH---LELVKLLLEK--DADINAEDHFGSTPLHSAAENGHLELVKLLLEKGADINARDKFGKTP | |||||||||||||
6 | 6mwqA | 0.29 | 0.27 | 8.13 | 1.00 | HHsearch | ----SGSDLGKKLLEAARAGQDDEVRILMANGADVNALDRFGLTPLHLAAQRGHLEIVEVLLKC-GADVNAADLWGQTPLHLAATAGHL---EIVEVLLKY--GADVNALDLIGKTPLHLTAIDGHLEIVEVLLKHGADVNAQDKFGKTA | |||||||||||||
7 | 4cymD | 0.25 | 0.24 | 7.44 | 2.11 | FFAS-3D | --FSRDDRGHTPLHVAAVCGQASLIDLLVSKGAMVNATDYHGATPLHLACQKGYQSVTLLLL-HYKASAEVQDNNGNTPLHLACTYGHEDCVKAL--VYYDVESCRLDIGNEKGDTPLHIAARWGYQGVIETLLQNGASTEIQNRLKET- | |||||||||||||
8 | 6bbjA | 0.21 | 0.21 | 6.76 | 0.90 | EigenThreader | FINSPFYRGQTALHIAIERRCKHYVELLVEKGADVHAQARGGELPLSLAACTNQPDIVHYLTENAKADIRRQDSRGNTVLHALVAIADNFVTKVYDLLVIKCDSSLEAIFNNDSMSPLMMAAKLGKIGIFQHIIRLESMLDTCGEEVSVL | |||||||||||||
9 | 4rlvA | 0.26 | 0.25 | 7.62 | 1.54 | CNFpred | PLLARTKNGLSPLHMAAQGDHVECVKHLLQHKAPVDDVTLDYLTALHVAAHCGHYRVTKLLLDKR-ANPNARALNGFTPLHIACKKN---RIKVMELLVKY--GASIQAITESGLTPIHVAAFMGHLNIVLLLLQNGASPDVTNIRGETA | |||||||||||||
10 | 3b95A | 0.19 | 0.19 | 6.01 | 1.50 | DEthreader | NIDTCSEDQRTPLMEAAENNHLEAVKYLIKAGALVDPKDAEGSTCLHLAAKKGHYEVVQYLLSNGQMDVNCQDDGGWTPMIWATEYK---HVDLVKLLLSKG--SDINIRDNEENICLHWAAFSGCVDIAEILLAAKCDLHAVNIHGDSP | |||||||||||||
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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. |