>Q6IPR3 (259 residues) MDRSAEFRKWKAQCLSKADLSRKGSVDEDVVELVQFLNMRDQFFTTSSCAGRILLLDRGI NGFEVQKQNCCWLLVTHKLCVKDDVIVALKKANGDATLKFEPFVLHVQCRQLQDAQILHS MAIDSGFRNSGITVGKRGKTMLAVRSTHGLEVPLSHKGKLMVTEEYIDFLLNVANQKMEE NKKRIERFYNCLQHALERETMTNLHPKIKEKNNSSYIHKKKRNPEKTRAQCITKESDEEL ENDDDDDLGINVTIFPEDY |
Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MDRSAEFRKWKAQCLSKADLSRKGSVDEDVVELVQFLNMRDQFFTTSSCAGRILLLDRGINGFEVQKQNCCWLLVTHKLCVKDDVIVALKKANGDATLKFEPFVLHVQCRQLQDAQILHSMAIDSGFRNSGITVGKRGKTMLAVRSTHGLEVPLSHKGKLMVTEEYIDFLLNVANQKMEENKKRIERFYNCLQHALERETMTNLHPKIKEKNNSSYIHKKKRNPEKTRAQCITKESDEELENDDDDDLGINVTIFPEDY |
Prediction | CCCHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHCCCCCSSSCCCCCSSSSSSCCCCCCCCCCCCCSSSSSSCCCCCHHHHHHHHHCCCCCSSSSSCCCSSSSSSCCHHHHHHHHHHHHHHCCCCCCSSSCCCCCSSSSSSCCCCSSSSSCCCCSSSCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCSSSCCCCCCC |
Confidence | 9844689999999999871084789982499999999738991881267750689846877777778885799997555875778887514677269996274799996999999999999998286311326537994699996277178872239858549999999999999999999999999999999997414666767655566776677899988887668877676652023578777631112478999 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MDRSAEFRKWKAQCLSKADLSRKGSVDEDVVELVQFLNMRDQFFTTSSCAGRILLLDRGINGFEVQKQNCCWLLVTHKLCVKDDVIVALKKANGDATLKFEPFVLHVQCRQLQDAQILHSMAIDSGFRNSGITVGKRGKTMLAVRSTHGLEVPLSHKGKLMVTEEYIDFLLNVANQKMEENKKRIERFYNCLQHALERETMTNLHPKIKEKNNSSYIHKKKRNPEKTRAQCITKESDEELENDDDDDLGINVTIFPEDY |
Prediction | 7655550352045006404524633015301300420163740000000000000013245446464640200002043153740242056453301031412000010221620330040034122330102214642000002022301000346342103670042005101520550451053015104510555456645364665744634455345454445543566466545746354240212122775 |
Values range from 0 (buried residue) to 8 (highly exposed residue) | |
Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | | |||||||||||||
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SS Seq | CCCHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHCCCCCSSSCCCCCSSSSSSCCCCCCCCCCCCCSSSSSSCCCCCHHHHHHHHHCCCCCSSSSSCCCSSSSSSCCHHHHHHHHHHHHHHCCCCCCSSSCCCCCSSSSSSCCCCSSSSSCCCCSSSCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCSSSCCCCCCC MDRSAEFRKWKAQCLSKADLSRKGSVDEDVVELVQFLNMRDQFFTTSSCAGRILLLDRGINGFEVQKQNCCWLLVTHKLCVKDDVIVALKKANGDATLKFEPFVLHVQCRQLQDAQILHSMAIDSGFRNSGITVGKRGKTMLAVRSTHGLEVPLSHKGKLMVTEEYIDFLLNVANQKMEENKKRIERFYNCLQHALERETMTNLHPKIKEKNNSSYIHKKKRNPEKTRAQCITKESDEELENDDDDDLGINVTIFPEDY | |||||||||||||||||||
1 | 1tljA | 0.19 | 0.14 | 4.47 | 1.00 | DEthreader | LVWEE-LREKALNKIYHDKEI--GYLDPDILGFLLAFYRRNDVYTQSSCSGRITIVDAE---MPWDRKNSTIIFKNHLRITEQDLEDVLSKNQVRLWLIVQGPIIHIYAKNIETGWDILKIAREAGFKHSGILATNQKGVLVELRTGIRMVHLLRESNTERVDKDKIKTLVNVCNEVLARGKQKMNLLKDLLS------------------------------------------------------------------ | |||||||||||||
2 | 1tljA | 0.20 | 0.14 | 4.58 | 2.49 | SPARKS-K | ----LVWEELREKALNKIYHDEIGYLDPDILGFLLAFYRRNDVYTQSSCSGRITIVDAEMPWDR---KNSTIIFKNHLRITEQDLEDVLSKQVRRLWLIVQGPIIHIYAKNIETGWDILKIAREAGFKHSGILATNQKGVLVELRTGIRMVHLLRESNTERVDKDKIKTLVNVCNEVLARGKQKMNLLKDLLS------------------------------------------------------------------ | |||||||||||||
3 | 1tljA | 0.19 | 0.14 | 4.47 | 1.89 | MapAlign | -----VWEELREKALNKIHDKEIGYLDPDILGFLLAFYRNNDVYTQSSCSGRITIVDAEM---PWDRKNSTIIFKNHLRITEQDLEDVLSKQVRRLWLIVQGPIIHIYAKNIETGWDILKIAREAGFKHSGILATNQKGVLVELRTGIRMVHLLRESNTERVDKDKIKTLVNVCNEVLARGKQKMNLLKDLLS------------------------------------------------------------------ | |||||||||||||
4 | 1tljA | 0.20 | 0.14 | 4.58 | 1.67 | CEthreader | ----LVWEELREKALNKIYDKEIGYLDPDILGFLLAFYRRNDVYTQSSCSGRITIVDAEMPW---DRKNSTIIFKNHLRITEQDLEDVLSKNQRRLWLIVQGPIIHIYAKNIETGWDILKIAREAGFKHSGILATNQKGVLVELRTGIRMVHLLRESNTERVDKDKIKTLVNVCNEVLARGKQKMNLLKDLLS------------------------------------------------------------------ | |||||||||||||
5 | 2qg3A | 0.28 | 0.21 | 6.37 | 2.04 | MUSTER | ------WEQFKKEKLRGYLEANQRKVDFDIVELLDLINSFDDFVTLSSCSGRIAVVDLEKPG---DKASSLFLGKWHEGVEVSEVAEAALRSRKVAWLIQYPPIIHVACRN-IGAAKLLNAANTAGFRRSGVISLS--NYVVEIASLERIELPVAEKG-LLVDDAYLSYVVRWANEKLLKGKEKLGRLQEALESLQRENAYCSD------------------------------------------------------- | |||||||||||||
6 | 1tljA | 0.20 | 0.14 | 4.58 | 5.87 | HHsearch | ----LVWEELREKALNKIYHDEIGYLDPDILGFLLAFYRRNDVYTQSSCSGRITIVDAEMPWD---RKNSTIIFKNHLRITEQDLEDVLSKQVRRLWLIVQGPIIHIYAKNIETGWDILKIAREAGFKHSGILATNQKGVLVELRTGIRMVHLLRESNTERVDKDKIKTLVNVCNEVLARGKQKMNLLKDLLS------------------------------------------------------------------ | |||||||||||||
7 | 1tljA | 0.21 | 0.15 | 4.67 | 2.89 | FFAS-3D | -----VWEELREKALNKIHDKEIGYLDPDILGFLAFYRNRNDVYTQSSCSGRITIVDAEMPW---DRKNSTIIFKNHLRITEQDLEDVLSKQVRRLWLIVQGPIIHIYAKNIETGWDILKIAREAGFKHSGILATNQKGVLVELRTGIRMVHLLRESNTERVDKDKIKTLVNVCNEVLARGKQKMNLLKDLL------------------------------------------------------------------- | |||||||||||||
8 | 2qg3A | 0.27 | 0.20 | 6.06 | 1.67 | EigenThreader | --WEQFKKEKLRGYLEAKNQ---RKVDFDIVELLDLINSFDDFVTLSSCSGRIAVVDLEKPGDK---ASSLFLGKWHEGVEVSEVAEAALRSRKVAWLIQYPPIIHVACRNIGAAKLLN-AANTAGFRRSGVISL--SNYVVEIASLERIELPVAEKGL-LVDDAYLSYVVRWANEKLLKGKEKLGRLQEALESLQRENAYCSD------------------------------------------------------- | |||||||||||||
9 | 2qg3A | 0.27 | 0.20 | 6.17 | 2.17 | CNFpred | ------WEQFKKEKLRGYLEAKQRKVDFDIVELLDLINSFDDFVTLSSCSGRIAVVDLEK---PGDKASSLFLGKWHEGVEVSEVAEAALRSRKVAWLIQYPPIIHVACRNIGAAKLLMNAANTAGFRRSGVISL--SNYVVEIASLERIELPVAEKGLMLVDDAYLSYVVRWANEKLLKGKEKLGRLQEALESLQRENAYCSD------------------------------------------------------- | |||||||||||||
10 | 2it3A | 0.30 | 0.21 | 6.44 | 1.00 | DEthreader | TENFERAKKEALS-LEIALRK--GEVDEDIIPLLKKINSIENYFTTSSCSGRISV-EPHF-------VNAKWLGKWHREVSLYEVLEAIKKHRSQLWFLVRSPILHVGAKTLEDAVKLVNLAVSCGFKYSNIKSISNKKLIVEIRSTER-DVLLGENGEIFVGEEYLNKIVEIANDQ-RRFKEKLKRLESKINALN-R------------------------------------------------------------- | |||||||||||||
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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. |