| >Q9BQI0 (150 residues) MSGELSNRFQGGKAFGLLKARQERRLAEINREFLCDQKYSDEENLPEKLTAFKEKYMEFD LNNEGEIDLMSLKRMMEKLGVPKTHLEMKKMISEVTGGVSDTISYRDFVNMMLGKRSAVL KLVMMFEGKANESSPKPVGPPPERDIASLP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSGELSNRFQGGKAFGLLKARQERRLAEINREFLCDQKYSDEENLPEKLTAFKEKYMEFDLNNEGEIDLMSLKRMMEKLGVPKTHLEMKKMISEVTGGVSDTISYRDFVNMMLGKRSAVLKLVMMFEGKANESSPKPVGPPPERDIASLP |
| Prediction | CCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHCCCCCCCSCHHHHHHHHHHHCCCCCHHHHHHHHHHHCCCCCCCSCHHHHHHHHHHHCCHHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHCC |
| Confidence | 987422331106777688999999999999997505554440008999999999999975899996179999999999099999999999999984789982519999999998211689999999874657888888886310553078 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSGELSNRFQGGKAFGLLKARQERRLAEINREFLCDQKYSDEENLPEKLTAFKEKYMEFDLNNEGEIDLMSLKRMMEKLGVPKTHLEMKKMISEVTGGVSDTISYRDFVNMMLGKRSAVLKLVMMFEGKANESSPKPVGPPPERDIASLP |
| Prediction | 864625643622442542356246425512641374751554742663164036105300554524033620340265174723462045205400635634431611241144435422402421454566865566345354416728 |
| 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 | CCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHCCCCCCCSCHHHHHHHHHHHCCCCCHHHHHHHHHHHCCCCCCCSCHHHHHHHHHHHCCHHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHCC MSGELSNRFQGGKAFGLLKARQERRLAEINREFLCDQKYSDEENLPEKLTAFKEKYMEFDLNNEGEIDLMSLKRMMEKLGVPKTHLEMKKMISEVTGGVSDTISYRDFVNMMLGKRSAVLKLVMMFEGKANESSPKPVGPPPERDIASLP | |||||||||||||||||||
| 1 | 2jjzC | 1.00 | 0.77 | 21.47 | 1.19 | SPARKS-K | ------------KAFGLLKARQERRLAEINREFLCDQKYSDEENLPEKLTAFKEKYMEFDLNNEGEIDLMSLKRMMEKLGVPKTHLEMKKMISEVTGGVSDTISYRDFVNMMLGKRSAVLKLVMMFE----------------------- | |||||||||||||
| 2 | 2g2bA | 0.60 | 0.60 | 17.19 | 1.42 | MUSTER | PLESQTRDLQGGKAFGLLKAQQEERLDEINKQFLDDPKYSSDEDLPSKLEGFKEKYMEFDLNGNGDIDIMSLKRMLEKLGVPKTHLELKKLIGEVSSGSGETFSYPDFLRMMLGKRSAILKMILMYEEKAREKEKPTGPPA-KKAISELP | |||||||||||||
| 3 | 2g2bA | 0.64 | 0.63 | 17.89 | 1.82 | FFAS-3D | ---SQTRDLQGGKAFGLLKAQQEERLDEINKQFLDDPKYSSDEDLPSKLEGFKEKYMEFDLNGNGDIDIMSLKRMLEKLGVPKTHLELKKLIGEVSSGSGETFSYPDFLRMMLGKRSAILKMILMYEEKAREKE-KPTGPPAKKAISELP | |||||||||||||
| 4 | 1y1xA | 0.09 | 0.07 | 2.57 | 1.00 | DEthreader | ------------------STGYANAALSFSLTEKLLHMYDEFKDLHHFILSMREGFRKRDSSGDGRLDSNEVRAALLSSGYQVSEQTFQALMRKFDRQRRGSLGFDDYVELSI--F-VCRVRNVFAFY-DRE-R-TGQV----------- | |||||||||||||
| 5 | 2g2bA | 0.58 | 0.58 | 16.65 | 1.15 | SPARKS-K | PLESQTRDLQGGKAFGLLKAQQEERLDEINKQFLDDPKYSSDEDLPSKLEGFKEKYMEFDLNGNGDIDIMSLKRMLEKLGVPKTHLELKKLIGEVSSGSGETFSYPDFLRMMLGKRSAILKMILMYEEKAREKEKPTGPPAKKAISELP- | |||||||||||||
| 6 | 3siaA | 0.07 | 0.07 | 2.75 | 0.58 | MapAlign | --FPLLNTIPLDQYTRIYQWFMGVQTALRMMRIFGHISFYEFMAMYKFMELAYNLFVMNARARSGTLEPHEILPALQQLGFYINQRTSLLLHRLFAM---AFCDLNCWIAICA--FAAQTRSAYQMIFMNPYYGPMKPFNPMEFGKFLD- | |||||||||||||
| 7 | 2g2bA | 0.58 | 0.58 | 16.65 | 0.36 | CEthreader | PLESQTRDLQGGKAFGLLKAQQEERLDEINKQFLDDPKYSSDEDLPSKLEGFKEKYMEFDLNGNGDIDIMSLKRMLEKLGVPKTHLELKKLIGEVSSGSGETFSYPDFLRMMLGKRSAILKMILMYEEKAREKEKPTGPPAKKAISELP- | |||||||||||||
| 8 | 2jjzC | 1.00 | 0.77 | 21.47 | 1.31 | MUSTER | ------------KAFGLLKARQERRLAEINREFLCDQKYSDEENLPEKLTAFKEKYMEFDLNNEGEIDLMSLKRMMEKLGVPKTHLEMKKMISEVTGGVSDTISYRDFVNMMLGKRSAVLKLVMMFE----------------------- | |||||||||||||
| 9 | 2g2bA | 0.64 | 0.63 | 17.91 | 0.88 | HHsearch | PLESQTRDLQGGKAFGLLKAQQEERLDEINKQFLDDPKYSSDEDLPSKLEGFKEKYMEFDLNGNGDIDIMSLKRMLEKLGVPKTHLELKKLIGEVS-GSGETFSYPDFLRMMLGKRSAILKMILMYEEKAREKE-KPTGPPAKKAISELP | |||||||||||||
| 10 | 2jjzC | 1.00 | 0.77 | 21.47 | 1.59 | FFAS-3D | ------------KAFGLLKARQERRLAEINREFLCDQKYSDEENLPEKLTAFKEKYMEFDLNNEGEIDLMSLKRMMEKLGVPKTHLEMKKMISEVTGGVSDTISYRDFVNMMLGKRSAVLKLVMMFE----------------------- | |||||||||||||
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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. |