>Q13242 (151 residues) MSGWADERGGEGDGRIYVGNLPTDVREKDLEDLFYKYGRIREIELKNRHGLVPFAFVRFE DPRDAEDAIYGRNGYDYGQCRLRVEFPRTYGGRGGWPRGGRNGPPTRRSDRVYPERSTSY GYSRSRSGSRGRDSPYQSRGSPHYFSPFRPY |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MSGWADERGGEGDGRIYVGNLPTDVREKDLEDLFYKYGRIREIELKNRHGLVPFAFVRFEDPRDAEDAIYGRNGYDYGQCRLRVEFPRTYGGRGGWPRGGRNGPPTRRSDRVYPERSTSYGYSRSRSGSRGRDSPYQSRGSPHYFSPFRPY |
Prediction | CCCCCCCCCCCCCCSSSSSCCCCCCCHHHHHHHHHHCCCSSSSSSSCCCCCCCSSSSSSCCHHHHHHHHHHHCCCSSCCCSSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC |
Confidence | 9988877778999879981999999999999999722876899984599999528999799999999999819955589188998667889999999999999999999997777899999998899865678776668888888998999 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MSGWADERGGEGDGRIYVGNLPTDVREKDLEDLFYKYGRIREIELKNRHGLVPFAFVRFEDPRDAEDAIYGRNGYDYGQCRLRVEFPRTYGGRGGWPRGGRNGPPTRRSDRVYPERSTSYGYSRSRSGSRGRDSPYQSRGSPHYFSPFRPY |
Prediction | 8545446555676120000103460447204520562151340303457714000101043572045016714545144240303304546846644445444444346423434435443354444344334232445544423424358 |
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 | CCCCCCCCCCCCCCSSSSSCCCCCCCHHHHHHHHHHCCCSSSSSSSCCCCCCCSSSSSSCCHHHHHHHHHHHCCCSSCCCSSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC MSGWADERGGEGDGRIYVGNLPTDVREKDLEDLFYKYGRIREIELKNRHGLVPFAFVRFEDPRDAEDAIYGRNGYDYGQCRLRVEFPRTYGGRGGWPRGGRNGPPTRRSDRVYPERSTSYGYSRSRSGSRGRDSPYQSRGSPHYFSPFRPY | |||||||||||||||||||
1 | 1h2uX | 0.24 | 0.19 | 6.00 | 1.77 | SPARKS-K | GDNEEQEKLLKKSCTLYVGNLSFYTTEEQIYELFSKSGDIKKIIMGLKKTACGFCFVEYYSRADAENAMRYINGTRLDDRIIRTDWDAGFKEGRQYGRGRSGGQVRDEYRQDYDAGRGGYGKL---------------------------- | |||||||||||||
2 | 1h2uX | 0.24 | 0.19 | 6.00 | 1.36 | MUSTER | GDNEEQEKLLKKSCTLYVGNLSFYTTEEQIYELFSKSGDIKKIIMGLKKTACGFCFVEYYSRADAENAMRYINGTRLDDRIIRTDWDAGFKEGRQYGRGRSGGQVRDEYRQDYDAGRGGYGKL---------------------------- | |||||||||||||
3 | 1h2uX | 0.25 | 0.20 | 6.17 | 1.48 | FFAS-3D | LSQYRDQHFRKKSCTLYVGNLSFYTTEEQIYELFSKSGDIKKIIMGMKKTACGFCFVEYYSRADAENAMRYINGTRLDDRIIRTDWDAGFKEGRQYGRGRSGGQVRDEYRQDYDAGRGGYGK----------------------------- | |||||||||||||
4 | 1x4aA | 0.64 | 0.42 | 12.11 | 1.56 | CNFpred | GGGVIRGPAGNNDCRIYVGNLPPDIRTKDIEDVFYKYGAIRDIDLKNRRGGPPFAFVEFEDPRDAEDAVYGRDGYDYDGYRLRVEFPRSGRGTGSGPSSG--------------------------------------------------- | |||||||||||||
5 | 2ghpB | 0.16 | 0.11 | 3.74 | 0.83 | DEthreader | -------------TTVLVKNLPKSYNQNKVYKYFKHCGPIIHVDVADSLKNFRFARIEFARYDGALAAIT-KTHKVVGQNEIIVSHLTEC--TLWYIDCVKLNGLKIEG-----------------------S-FNNCCISVSLAD----- | |||||||||||||
6 | 7b0yb | 0.22 | 0.17 | 5.44 | 1.65 | SPARKS-K | DPHNDPNAQGDAFKTLFVARVNYDTTESKLRREFEVYGPIKRIHMVYSGKPRGYAFIEYEHERDMHSAYKHADGKKIDGRRVLVDVERGRTVKGWRPRRLGGGLGGTRRGGADVNIRHSG------------------------------- | |||||||||||||
7 | 5szwA | 0.27 | 0.15 | 4.68 | 0.50 | MapAlign | ----EDCRGDIGRTNLIVNYLPQNMTQDELRSLFSSIGEVESAKLIRDGHSLGYGFVNYVTAKDAERAINTLNGLRLQSKTIKVSYARPS------------------------------------------------------------- | |||||||||||||
8 | 5szwA | 0.26 | 0.15 | 4.71 | 0.30 | CEthreader | DHMAEDCRGDIGRTNLIVNYLPQNMTQDELRSLFSSIGEVESAKLIRDGHSLGYGFVNYVTAKDAERAINTLNGLRLQSKTIKVSYARPS------------------------------------------------------------- | |||||||||||||
9 | 6n7pY | 0.19 | 0.15 | 4.91 | 1.35 | MUSTER | PNGLQELRESMKSSTIYVGNLSFYTSEEQIYELFSKCGTIKRIIMGLKFTPCGFCFIIYSCPDEALNALKYLSDTKLDEKTITIDLDPGFEDGRQFGRGKSGGQVSDELRFDFDASRGGFA------------------------------ | |||||||||||||
10 | 7b0yb | 0.23 | 0.18 | 5.62 | 0.85 | HHsearch | DPHNDPNAQGDAFKTLFVARVNYDTTESKLRREFEVYGPIKRIHMVYSKSGRGYAFIEYEHERDMHSAYKHADGKKIDGRRVLVDVERGRTVKGWRPRRLGGGLGGT--------RRGGADVNIRHSG----------------------- | |||||||||||||
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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. |