>Q53GA4 (152 residues) MKSPDEVLREGELEKRSDSLFQLWKKKRGVLTSDRLSLFPASPRARPKELRFHSILKVDC VERTGKYVYFTIVTTDHKEIDFRCAGESCWNAAIALALIDFQNRRALQDFRSRQERTAPA APAEDAVAAAAAAPSEPSEPSRPSPQPKPRTP |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MKSPDEVLREGELEKRSDSLFQLWKKKRGVLTSDRLSLFPASPRARPKELRFHSILKVDCVERTGKYVYFTIVTTDHKEIDFRCAGESCWNAAIALALIDFQNRRALQDFRSRQERTAPAAPAEDAVAAAAAAPSEPSEPSRPSPQPKPRTP |
Prediction | CCCHHHHHHHCHHHHHCCCHHHHHSCCSSSSCCCCSSSSCCCCCCCCCSSSHHHCSSSSSSSSCCCSSSSSSSSCCCSSSSSSCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHCCCCCCCCCCCCCCCCCCCCCCCC |
Confidence | 98637776522112213543332101047864552032058889885311201111332455448669999996599289988179861489999999998879999999986521344454045553245798766778899988999999 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MKSPDEVLREGELEKRSDSLFQLWKKKRGVLTSDRLSLFPASPRARPKELRFHSILKVDCVERTGKYVYFTIVTTDHKEIDFRCAGESCWNAAIALALIDFQNRRALQDFRSRQERTAPAAPAEDAVAAAAAAPSEPSEPSRPSPQPKPRTP |
Prediction | 86454521451314542631041045310102562041245656643451404303404113454420000011564540302046663131300110143534521550354454655445555434445544754644654456646768 |
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 | CCCHHHHHHHCHHHHHCCCHHHHHSCCSSSSCCCCSSSSCCCCCCCCCSSSHHHCSSSSSSSSCCCSSSSSSSSCCCSSSSSSCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHCCCCCCCCCCCCCCCCCCCCCCCC MKSPDEVLREGELEKRSDSLFQLWKKKRGVLTSDRLSLFPASPRARPKELRFHSILKVDCVERTGKYVYFTIVTTDHKEIDFRCAGESCWNAAIALALIDFQNRRALQDFRSRQERTAPAAPAEDAVAAAAAAPSEPSEPSRPSPQPKPRTP | |||||||||||||||||||
1 | 6gym1 | 0.07 | 0.06 | 2.41 | 1.00 | DEthreader | ---MS-HSG-AAIFE--------KVSGIIAINEAELTWRSTDG-DKVHTVVLSTIDKLQATPASSEKMMLRLIGKEPQRHMFSFNNRTV-MDNIKMTLQQIISRYKDADIYEEK-R------------LLKGNKVLKVMLTCFLLYDYFNEN | |||||||||||||
2 | 2bcjA2 | 0.13 | 0.10 | 3.40 | 1.67 | SPARKS-K | YALGKDCIMHGYMSKMGNPFLTQWQRRYFYLFPNRLEWRG-EGEAPQSLLTMEEIQSVEETQIKERK-CLLLKIRGGKQFVLQCDSDPQWKKELRDAYREAQQLVQRVPKMKNK-------------------------------------- | |||||||||||||
3 | 7bulA | 0.12 | 0.09 | 3.28 | 0.53 | MapAlign | ---SEEVLLVKKVRQK-------KQDGALYLMAERIAWAPEGKDRFTISHMYADIKCQKISPEGKAKIQLQLVLHAGDTTNFHFSNAVKERDAVKDLLQQLLMLQPVLFQLYKDLVVSQVISAEEFWANRL--------------------- | |||||||||||||
4 | 7bulA | 0.10 | 0.09 | 3.44 | 0.41 | CEthreader | TSSEEVLLIVKKVRQKK-------QDGALYLMAERIAWAPEGKDRFTISHMYADIKCQKISPEGKAKIQLQLVLHAGDTTNFHFSNAVKERDAVKDLLQQLLFKRKANKELEEKNRMLQEDPVLFQLYKDLVVSQVISAEEFWANRLNVNAT | |||||||||||||
5 | 2bcjA2 | 0.13 | 0.09 | 3.22 | 1.40 | MUSTER | YALGKDCIMHGYMSKMGNPFLTQWQRRYFYLFPNRLEWRGEGEAPQ-SLLTMEEIQSVEETQIKER-KCLLLKIRGGKQFVLQCDSDPQWKKELRDAYREAQQLVQ---------VPKMKNK------------------------------ | |||||||||||||
6 | 2d9zA | 0.20 | 0.14 | 4.41 | 1.36 | HHsearch | SSGSSGMVKEGWMVHYTS-RDNLRKRHYWRLDSKCLTLFQNESGKYYKEIPLSEILRISSPRDGSNPHCFEIITDT-MVYFVGENNDQSWEKAIRQALMSGPSSG----------------------------------------------- | |||||||||||||
7 | 2bcjA2 | 0.14 | 0.11 | 3.57 | 0.98 | FFAS-3D | YALGKDCIMHGYMSKMGNPFLTQWQRRYFYLFPNRLEWRGEGEAPQ-SLLTMEEIQSVEETQIKERK-CLLLKIRGGKQFVLQCDSDVQWKKELRDAY-----REAQQLVQRVPKMKN---------------------------------- | |||||||||||||
8 | 6pbcA2 | 0.06 | 0.05 | 2.35 | 0.70 | EigenThreader | -EVLHLCRSLEVMTLFYSKKQRPERKTFQVKLETRQITWSI-----EGSIDIREIKEIRPGKPDQSHCFVILYGMEFRLLSLQATEVNMWIKGLTWLMEDTLQYSVKDLKNMLSQVNYRVPDITYGQFAQLYRSLMYSAQKTMDLPF----- | |||||||||||||
9 | 5l81A | 0.16 | 0.12 | 3.95 | 1.35 | CNFpred | --LTTIPELKDHLRIFRPLTLKGYRQYWVVFKDTTLSYYKSQDEDPTQQLNLKGCEVVPDVNVSGQKFCIKLLVPGMSEIYLRCQQYAQWMAACRLASKGRTYASEVQAILAFLSL------------------------------------ | |||||||||||||
10 | 5oqj1 | 0.04 | 0.03 | 1.71 | 1.00 | DEthreader | ---MS-HSG-AAIFE--------KVSGIIAINEAELTWRSTDG-DKVHTVVLSTIDKLQATPASSEKMMLRLIGKEPQRHMFSFNNRTVMDNIKMTLQQIISRYKDADIYEEK--R-----------SLLKGNKVLKVMLTCFLYYDFNENN | |||||||||||||
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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. |