| >Q9UJL9 (141 residues) MLQQLLITLPTEASTWVKLRHPKAATERVALWEDVTKMFKAEALLSQDADETQGESLESR VTLGSLTAESQELLTFKDVSVDFTQEEWGQLAPAHRNLYREVMLENYGNLVSVGCQLSKP GVISQLEKGEEPWLMERDISG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MLQQLLITLPTEASTWVKLRHPKAATERVALWEDVTKMFKAEALLSQDADETQGESLESRVTLGSLTAESQELLTFKDVSVDFTQEEWGQLAPAHRNLYREVMLENYGNLVSVGCQLSKPGVISQLEKGEEPWLMERDISG |
| Prediction | CCHHHHHHCCHHHCCCCCCCCCCCCCCCCCCCCHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSSSSCHHHHHCCCHHHHHHHHHHHHHHCCCCSSSCCCCCCCHHHHHHHCCCCCCCCCCCCCC |
| Confidence | 903665329444212211259865666655552113202578788888765556652112345556777766623556667629899844598999999999887303302304777882243365436677634478899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MLQQLLITLPTEASTWVKLRHPKAATERVALWEDVTKMFKAEALLSQDADETQGESLESRVTLGSLTAESQELLTFKDVSVDFTQEEWGQLAPAHRNLYREVMLENYGNLVSVGCQLSKPGVISQLEKGEEPWLMERDISG |
| Prediction | 645321431356243205343275356334335411432635402273353567654665234432454343302042001300450573244303511340122123101003231331400120354641234567368 |
| 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 | CCHHHHHHCCHHHCCCCCCCCCCCCCCCCCCCCHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSSSSCHHHHHCCCHHHHHHHHHHHHHHCCCCSSSCCCCCCCHHHHHHHCCCCCCCCCCCCCC MLQQLLITLPTEASTWVKLRHPKAATERVALWEDVTKMFKAEALLSQDADETQGESLESRVTLGSLTAESQELLTFKDVSVDFTQEEWGQLAPAHRNLYREVMLENYGNLVSVGCQLSKPGVISQLEKGEEPWLMERDISG | |||||||||||||||||||
| 1 | 2fi2A2 | 0.27 | 0.08 | 2.40 | 1.01 | SPARKS-K | VLEQFLGALPPEIQARVQGQRPGSPEEAAALVDGLRREPGG---------------------------------------------------------------------------------------------------- | |||||||||||||
| 2 | 1v65A | 0.31 | 0.14 | 4.28 | 1.14 | MUSTER | ------------------------------------------------------------------GSSGSSGVTYDDVHMNFTEEEWDLLDSSQKRLYEEVMLETYQNLTDIGYNWQDHHIEESGPSSG----------- | |||||||||||||
| 3 | 2fi2A2 | 0.27 | 0.08 | 2.40 | 2.34 | HHsearch | VLEQFLGALPPEIQARVQGQRPGSPEEAAALVDGLRREPGG---------------------------------------------------------------------------------------------------- | |||||||||||||
| 4 | 4wsaC | 0.13 | 0.13 | 4.45 | 0.46 | CEthreader | KLTESRSQSMIVACRKIIRRSIVASNPLELAVEIANKTVIDTEPLKSCLAAIDGGDVACDIIRAALGLKIRQRQRFGRLELGFKNDEEILIGNGTIQKIGIWDGEEEFHVRCGECRGILKKSKMKLEKLLINSAKKEDMRD | |||||||||||||
| 5 | 6q4sA | 0.08 | 0.08 | 3.11 | 0.63 | EigenThreader | PVSEHLEYARARHPQAAARTYPHAADDMVVLMNWFSLAFLFDDQFAASWGRFLVAHCEEVDLAARGLEMRDLAADTIGFMNDHNLIAVLRCSWQQATDEAYRMTIACLDEYLELQERVPQMCDELRLDEAERDRVRMGVEA | |||||||||||||
| 6 | 2fi2A2 | 0.30 | 0.08 | 2.37 | 0.68 | FFAS-3D | VLEQFLGALPPEIQARVQGQRPGSPEEAAALVDGLRR-------------------------------------------------------------------------------------------------------- | |||||||||||||
| 7 | 3lhrA | 0.35 | 0.10 | 2.96 | 0.79 | SPARKS-K | VLEQFVAILPKELQTWVRDHHPENGEEAVTVLEDLESELD----------------------------------------------------------------------------------------------------- | |||||||||||||
| 8 | 3lhrA | 0.35 | 0.10 | 2.96 | 0.77 | CNFpred | VLEQFVAILPKELQTWVRDHHPENGEEAVTVLEDLESELD----------------------------------------------------------------------------------------------------- | |||||||||||||
| 9 | 7anzD | 0.05 | 0.04 | 2.06 | 0.83 | DEthreader | NQAIVVDYYIAILEAQLYWILRFLYRVSNRLNDEFLTYVYPA-FIKSSDKIQIDSQNEILTFLTQIIQGNNKTHYN-RFTFIIMVKDVFNESSVNVLSFT--I-EY-KI--LP----HQYLMFHFLWKLILSVIENFQQHN | |||||||||||||
| 10 | 1vt4I | 0.11 | 0.11 | 3.85 | 0.95 | MapAlign | -VDNFDSILSKEEIDHII--MSKDAVSGTLRLFWTLAELRRLLSDDLIPPYLDQYFYSHIGHHLKNIEHPERMTLFRMVFLDFRKPYICDNDPKYERLVGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG | |||||||||||||
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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. |