| >A6NM43 (145 residues) LAISGKLCGQMAAVLSGARVALFACPFGPAHPNAPATACLSSPADLAQFSKGSDQLLEKQ VGQLAAAGINVAVVLGEVDEETLTLADKYGIVVIQARSRMEIIYLSEVLDTPLLPRLLPP QRPGKCQRVYRQELGDGLAVVFEWE |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | LAISGKLCGQMAAVLSGARVALFACPFGPAHPNAPATACLSSPADLAQFSKGSDQLLEKQVGQLAAAGINVAVVLGEVDEETLTLADKYGIVVIQARSRMEIIYLSEVLDTPLLPRLLPPQRPGKCQRVYRQELGDGLAVVFEWE |
| Prediction | CCCCCCCCCCCCCSCCCCSSSSSSCCCCCCCCCCCCSSSSCCHHHHHHHHHHHHHHHHHHHHHHHHHCCCSSSSCCCCCHHHHHHHHHHCCSSSSSCCHHHHHHHHHHHCCSSSCCCCCHHHCCSSSSSSSSSSCCCSSSSSSSC |
| Confidence | 9506788788872104976999938888776536727996799999999999999999999999992998999789889899999999099499944889999999995997632569954681653899999869079999839 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | LAISGKLCGQMAAVLSGARVALFACPFGPAHPNAPATACLSSPADLAQFSKGSDQLLEKQVGQLAAAGINVAVVLGEVDEETLTLADKYGIVVIQARSRMEIIYLSEVLDTPLLPRLLPPQRPGKCQRVYRQELGDGLAVVFEWE |
| Prediction | 6324463545045415502000000304274463625040533730550263026203610530271404000133402420231046340100221565204200521604123414437311404302145246530100358 |
| 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 | | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCCCCCCCCCCCSCCCCSSSSSSCCCCCCCCCCCCSSSSCCHHHHHHHHHHHHHHHHHHHHHHHHHCCCSSSSCCCCCHHHHHHHHHHCCSSSSSCCHHHHHHHHHHHCCSSSCCCCCHHHCCSSSSSSSSSSCCCSSSSSSSC LAISGKLCGQMAAVLSGARVALFACPFGPAHPNAPATACLSSPADLAQFSKGSDQLLEKQVGQLAAAGINVAVVLGEVDEETLTLADKYGIVVIQARSRMEIIYLSEVLDTPLLPRLLPPQRPGKCQRVYRQELGDGLAVVFEWE | |||||||||||||||||||
| 1 | 1q3rA | 0.19 | 0.19 | 6.03 | 1.50 | DEthreader | VVIDKEVVPRMPKRVENAKIALINEALEVKKTETDAKINITSPDQLMSFLEQEEKMLKDMVDHIAQTGANVVFVQKGIDDLAQHYLAKYGIMAVRRVKKSDMEKLAKATGAKIVTNVDLTEDLGYAEVVEERKLAGENMIFVEGC | |||||||||||||
| 2 | 1q3rA1 | 0.19 | 0.19 | 6.21 | 2.42 | SPARKS-K | VVIDKEVHPRMPKRVENAKIALINEALEVKKTETDAKINITSPDQLMSFLEQEEKMLKDMVDHIAQTGANVVFVQKGIDDLAQHYLAKYGIMAVRRVKKSDMEKLAKATGAKIVTNVKTPEDLGYAEVVEERKLAGENMIFVEG- | |||||||||||||
| 3 | 1q3rA | 0.20 | 0.20 | 6.40 | 0.97 | MapAlign | VVIDKEVVHRMPKRVENAKIALINEALEVKKTETDAKINITSPDQLMSFLEQEEKMLKDMVDHIAQTGANVVFVQKGIDDLAQHYLAKYGIMAVRRVKKSDMEKLAKATGAKIVTNVLTPEDLGYAEVVEERKLAGENMIFVEGC | |||||||||||||
| 4 | 1q3rA | 0.19 | 0.19 | 6.03 | 0.67 | CEthreader | VVIDKEVVHRMPKRVENAKIALINEALEVKKTETDAKINITSPDQLMSFLEQEEKMLKDMVDHIAQTGANVVFVQKGIDDLAQHYLAKYGIMAVRRVKKSDMEKLAKATGAKIVTNVKDLEDLGYAEVVEERKLAGENMIFVEGC | |||||||||||||
| 5 | 1q3rA1 | 0.19 | 0.19 | 6.21 | 2.35 | MUSTER | VVIDKEVHPRMPKRVENAKIALINEALEVKKTETDAKINITSPDQLMSFLEQEEKMLKDMVDHIAQTGANVVFVQKGIDDLAQHYLAKYGIMAVRRVKKSDMEKLAKATGAKIVTNVKTPEDLGYAEVVEERKLAGENMIFVEG- | |||||||||||||
| 6 | 7lumJ1 | 0.30 | 0.30 | 9.00 | 1.69 | HHsearch | MVFKKET-EGDVTSVKDAKIAVYSCPFDGMITETKGTVLIKTAEELMNFSKGEENLMDAQVKAIADTGANVVVTGGKVADMALHYANKYNIMLVRLNSKWDLRRLCKTVGATALPRLTVLEEMGHCDSVYLSEVGDTQVVVFKHE | |||||||||||||
| 7 | 7lumJ1 | 0.30 | 0.30 | 9.00 | 2.24 | FFAS-3D | MVFKKET-EGDVTSVKDAKIAVYSCPFDGMITETKGTVLIKTAEELMNFSKGEENLMDAQVKAIADTGANVVVTGGKVADMALHYANKYNIMLVRLNSKWDLRRLCKTVGATALPRLPVLEEMGHCDSVYLSEVGDTQVVVFKHE | |||||||||||||
| 8 | 7lumN2 | 0.14 | 0.14 | 4.91 | 1.10 | EigenThreader | LVLTQKVSNSGITRVEKAKIGLIQFCLSAPKTDMDNQIVVSDYAQMDRVLREERAYILNLVKQIKKTGCNVLLIQDALSDLALHFLNKMKIMVIKDIEREDIEFICKTIGTKPVAHIFTADMLGSAELAEEVNLNGSGKLLKICA | |||||||||||||
| 9 | 1e0rB | 0.15 | 0.15 | 5.10 | 1.68 | CNFpred | IIVDKEVHPGMPDVVKDAKIALLDAPLEIKKPEFDTNLRIEDPSMIQKFLAQEENMLREMVDKIKSVGANVVITQKGIDDMAQHYLSRAGIYAVRRVKKSDMDKLAKATGASIVSTIISSSDLGTAERVEQVKVGEDYMTFVTGS | |||||||||||||
| 10 | 7lumH | 0.08 | 0.08 | 3.23 | 1.50 | DEthreader | VMINKDVTHRMRRYIKNPRIVLLDSSLEYKKGESQTDIEITREEDFTRILQMEEEYIQQLCEDIIQLKPDVVITEKGISDLAQHYLMRANITAIRRVRKTDNNRIARACGARIVSRPELRDDVGTAGLLEIKKIGDEYFTFITDC | |||||||||||||
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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, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023. |