>Q96BY2 (150 residues) PDPDNTFLSRLNEFLAGEGMTVGELSRALGHENGSLDPEQGMIPEMWAPMLAQALEALQP ALQCLKYKKLRVFSGRESPEPGEEEFGRWMFHTTQMIKAWQVPDVEKRRRLLESLRGPAL DVIRVLKINNPLITVDECLQALEEVFGVTD |
Sequence |
20 40 60 80 100 120 140 | | | | | | | PDPDNTFLSRLNEFLAGEGMTVGELSRALGHENGSLDPEQGMIPEMWAPMLAQALEALQPALQCLKYKKLRVFSGRESPEPGEEEFGRWMFHTTQMIKAWQVPDVEKRRRLLESLRGPALDVIRVLKINNPLITVDECLQALEEVFGVTD |
Prediction | CCCHHHHHHHHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHCHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHHHHHHHCCCCHHHHHHHHHHHCCCHHHHHHHHHHHCCCCCCHHHHHHHHHHHHCCCC |
Confidence | 982389998786778985423999999982368888888888841446778999987502555444432135557889999875335799999999983599989999999982364199999999722999999999999999938899 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | PDPDNTFLSRLNEFLAGEGMTVGELSRALGHENGSLDPEQGMIPEMWAPMLAQALEALQPALQCLKYKKLRVFSGRESPEPGEEEFGRWMFHTTQMIKAWQVPDVEKRRRLLESLRGPALDVIRVLKINNPLITVDECLQALEEVFGVTD |
Prediction | 865654127304421572433134024103444444546453435223531452153034115414354134024644365645514402510440173171566523430273243202400320346347241540151047125568 |
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 | CCCHHHHHHHHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHCHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHHHHHHHCCCCHHHHHHHHHHHCCCHHHHHHHHHHHCCCCCCHHHHHHHHHHHHCCCC PDPDNTFLSRLNEFLAGEGMTVGELSRALGHENGSLDPEQGMIPEMWAPMLAQALEALQPALQCLKYKKLRVFSGRESPEPGEEEFGRWMFHTTQMIKAWQVPDVEKRRRLLESLRGPALDVIRVLKINNPLITVDECLQALEEVFGVTD | |||||||||||||||||||
1 | 5cwoA | 0.14 | 0.14 | 4.78 | 0.61 | CEthreader | AKELRRAVEEAIEEAKKQGNPVEWVARAAKVAAEVIKVAIQAEVRAVIEAIEEAVKQGNPELVEWVARAAKVAAEVIKVAIQAEAALELVRAVIEAIEEAVKQGNPELVERVARLAKKAAELIKRAIRAEKEGNRDERREALERVREVIE | |||||||||||||
2 | 6hwiA | 0.06 | 0.05 | 2.28 | 0.75 | EigenThreader | LLWKSEFFENCRDTNQQAGNGWDFDMLTAQMQYDPGLFAQIQAAATKAWRKL----PVKGDPGASLTGVKQGPDEP------------FADFVHRLITTAGRIFGYVKQLAYENANPACQAAIRPYR---KKTDLTGYIRLC-----SDI | |||||||||||||
3 | 6hwwA | 0.11 | 0.11 | 3.87 | 0.75 | FFAS-3D | -EDPGKLTALIESVLTTHQPTWDDCQQLLGTLLPLERPDWDYTTQRGRNHLVLYRQLLLAGMQNAGRSPTNLAKVKGITQGPNESPSAFLERLKEAYRRYTPDPGQETNVSMSFIWQSAPDIGRKLERLEDSKTLGDLVREAEKIFNKRE | |||||||||||||
4 | 5cwjA | 0.12 | 0.11 | 3.75 | 0.67 | SPARKS-K | --DSEEEQERIRRILKEARKSIEDVAQLAKKSQDS-------------EVLEEAIRVILRIAKESGSEEIRAVAEIAKEAQDSEVLEEAIRVILRIAKESGS--EEALRQAIRAVAEEAIRVIRQIAEESGS---EEARRQAERAEEEIR | |||||||||||||
5 | 6rwaA | 0.09 | 0.09 | 3.31 | 0.59 | CNFpred | ---NLSNLYMTKLLADIHQLTIDELYLLLITIGEDKINLYDIDDKELEKLINRLDTLSNWLHTQKSIYQLFLMTTTNYDKTLTPEIQNLLDTVYNGLQNFDKLLAAIAPYIAATL-NVAHSILLWADKIKPKITAEKFWIWLQNRDTTEL | |||||||||||||
6 | 1dowA | 0.06 | 0.05 | 2.07 | 1.00 | DEthreader | SQATENFLEKGDKIAKSFKEEVVAVED-VRKQGDLKSANRAARLLSAVTRLLILAD-ADVYKLLVQLKVVEDGILNAGEQDLGIQYKALKPEVDKLNIAKRQRAAARGI-LQ-NV-ILYARDLIY-Q----------------------- | |||||||||||||
7 | 5m1hA | 0.08 | 0.07 | 2.88 | 0.76 | MapAlign | --IPIWLGRNAPAIDGVFPVLRCRIINAILGGNLSLTPGDCLTWDSAVATLFIRT--HGTFPMHQLGNVIKGIV----------DQEGVATAYTLGMMLSGQNYQLVSGIIRGYLPQAVVTALQQRLDQEDQTRAETFIQHLNAVYEIL- | |||||||||||||
8 | 3akaA | 0.11 | 0.11 | 3.86 | 0.51 | MUSTER | -EYERRIAARFTTFQDGNGHDRSDFSGAAKALLAEFGVAARSRGQALYGGAEALWQGLAGIADRDGDQRITRFV-KRLRDKPDRFAEIARPFLHAALGVADT-TVADTARALTAFGVPEDLARQAAAALDTDVGETEIVPAFARYFTVPA | |||||||||||||
9 | 6tapA | 0.12 | 0.07 | 2.35 | 0.82 | HHsearch | --------------------------------------------------------------KGNFSACTHSFGGTR----DHDVVEEFIGNIETYKDVEGISDENALKGISLLFYGMASTWWQGVR--KEATTWKEAIALIREHFSPTK | |||||||||||||
10 | 4ph0A | 0.08 | 0.07 | 2.87 | 0.56 | CEthreader | PVDQTAHMTSLTAAIAAAEAANTLQGFNPQNGTLTQQSAQPNAGDLRSQYQNLWLQAWKNLPTPWSTIVQGP----------AESYVEFVNRLQISLADNLPDEPIIDSLSYANANKECQQILQGRG--LVAAPVGQKLQACAHWA---- | |||||||||||||
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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. |