>O75116 (151 residues) KKIRGLQMKAEDYDVVKVIGRGAFGEVQLVRHKASQKVYAMKLLSKFEMIKRSDLKLADF GTCMKMDETGMVHCDTAVGTPDYISPEVLKSQGGDGFYGRCDLKQSQQKINELLKQKDVL NEDVRNDSEQLARSIAEEQYSDLEKEKIMKE |
Sequence |
20 40 60 80 100 120 140 | | | | | | | KKIRGLQMKAEDYDVVKVIGRGAFGEVQLVRHKASQKVYAMKLLSKFEMIKRSDLKLADFGTCMKMDETGMVHCDTAVGTPDYISPEVLKSQGGDGFYGRCDLKQSQQKINELLKQKDVLNEDVRNDSEQLARSIAEEQYSDLEKEKIMKE |
Prediction | CCCCCCCCCHHHCSSSSSSSSCCCSSSSSSSSCCCCCSSSSSSSCHHHHHHHCCHHHHHHHHHHHCCCCSSSSSSSSSSCCCSSSSSSSSCCCCCCCCCCCCHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHCCCCCCCCHHHCCCC |
Confidence | 9621378996665255777725673999999927997999998379999862408999999999769992856576760799589999735797453312212455789999997068881777689999999970120146995762789 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | KKIRGLQMKAEDYDVVKVIGRGAFGEVQLVRHKASQKVYAMKLLSKFEMIKRSDLKLADFGTCMKMDETGMVHCDTAVGTPDYISPEVLKSQGGDGFYGRCDLKQSQQKINELLKQKDVLNEDVRNDSEQLARSIAEEQYSDLEKEKIMKE |
Prediction | 8635745051710520211133230202002327564100001032640165742432234004417241003031002166200000002412301213143640321001024545203740201000003014201111123433358 |
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 | CCCCCCCCCHHHCSSSSSSSSCCCSSSSSSSSCCCCCSSSSSSSCHHHHHHHCCHHHHHHHHHHHCCCCSSSSSSSSSSCCCSSSSSSSSCCCCCCCCCCCCHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHCCCCCCCCHHHCCCC KKIRGLQMKAEDYDVVKVIGRGAFGEVQLVRHKASQKVYAMKLLSKFEMIKRSDLKLADFGTCMKMDETGMVHCDTAVGTPDYISPEVLKSQGGDGFYGRCDLKQSQQKINELLKQKDVLNEDVRNDSEQLARSIAEEQYSDLEKEKIMKE | |||||||||||||||||||
1 | 6ccfB | 0.26 | 0.24 | 7.36 | 1.56 | SPARKS-K | -------MQLNQYKLQSEIGKGAYGVVRLAYNESEDRHYAMKVLSKKKLGDDGHVKIADFGVSNQFEGNDA-QLSSTAGTPAFMAPEAISDSGQSFSGKALDVWATGVTLYCFVYGKCPFID---DFILALHRKIKNEPVVFPEEPEISEE | |||||||||||||
2 | 3pfqA | 0.22 | 0.20 | 6.26 | 1.00 | MUSTER | EYFNVPVPPLTDFNFLMVLGKGSFGKVMLSERKGTDELYAVKILKKDVVIQDDDVTMVEKRVLALPKPPFLTQLHSCFQTMDRLYFVMEYVNGGDLMYGRFKEPHAVFYAAEIAIGLFFLQSKG---------------YRDLKLDNVMLD | |||||||||||||
3 | 3h10A2 | 0.19 | 0.17 | 5.36 | 1.70 | FFAS-3D | ----KRQWALEDFEIGRPLGKGKFGNVYLAREKQSKFILALKVLFKAQLEKAGVELRREVEIQSHLRHPNILRLYGYFHDATRVYLILEYAPLGT-------------VYRELQKLSKFDEQRTATYITELANALSYCHHRDIKPENLLLG | |||||||||||||
4 | 3lltA | 0.17 | 0.13 | 4.36 | 1.28 | CNFpred | ----------------ILLDDPFEKSLITVRRVTDGKKIQIYRTKS------TGIKLIDFGCATFKS----DYHGSIINTRQYRAPEVILNL---GWDVSSDMWSFGCVLAELYTGSLLFRTHEHMEHLAMMESIIQ----PIPKNMLYEA | |||||||||||||
5 | 3tkuA | 0.23 | 0.19 | 5.81 | 0.83 | DEthreader | ----------------KVIGAITAYGDLTLSK----FEDKL----F--GE-MVLAIDIKNFSCLKMNDDGTVQSSVAVGTPDYISPEILQAMGMGKYGPECDWWSLGVCMYEMLYGETPFY--AE-SLVETYGKIMNHRFQFPVSEEAKFF | |||||||||||||
6 | 5yv8A | 0.22 | 0.20 | 6.28 | 1.53 | SPARKS-K | -------VQLNQYTLKDEIGKGSYGVVKLAYNENDNTYYAMKVLSKEDHLEDGHIKIADFGVSNEFKGS-DALLSNTVGTPAFMAPESLSETRKIFSGKALDVWAMGVTLYCFVFGQCPFMDERIM----LHSKIKSQALEFPDQPDIAED | |||||||||||||
7 | 2f2uA | 0.64 | 0.58 | 16.46 | 0.58 | MapAlign | -------MKAEDYDVVKVIGRGAFGEVQLVRHKASQKVYAMKLLSKFEMIKRSDSMGLIHRDVMKMDETGMVHCDTAVGTPDYISPEVLKSQGGDGYYGECDWWSVGVFLFEMLVGDTPF---YADSLVGTYSKIMDHNSLCFPEDA---- | |||||||||||||
8 | 2vd5A | 0.32 | 0.32 | 9.56 | 0.59 | CEthreader | VRLKEVRLQRDDFEILKVIGRGAFSEVAVVKMKQTGQVYAMKIMNKWDMLKRGEIRLADFGSCLKLRADGTVRSLVAVGTPDYLSPEILQAVGTGSYGPECDWWALGVFAYEMFYGQTPFYAD---STAETYGKIVHYKEHLSLPGVPEEA | |||||||||||||
9 | 3cokA | 0.13 | 0.12 | 4.13 | 0.91 | MUSTER | SLATCIGEKIEDFKVGNLLGKGSFAGVYRAESIHTGLEVAIKMIDKKAMYKAGMVQRVEVKIHCQLKHPSILELYNYFEDSNYVYLVLEMCHNGEMRVKPFSENEARHFMHQIITGMLYLHSHG-------------ILHRDLTLSNLLLT | |||||||||||||
10 | 3pfqA | 0.31 | 0.29 | 8.79 | 0.82 | HHsearch | EYFNVPVPPLTDFNFLMVLGKGSFGKVMLSERKGTDELYAVKILKKDVVIQDDDIKIADFGMCKENIWDG--VTTKFCGTPDYIAPEIIAYQ----PYGKVDWWAFGVLLYEMLAGQAPFEGE---DEDELFQSIMEHNVAYPKS--MSKE | |||||||||||||
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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. |