| >Q8WYQ3 (142 residues) MPRGSRSAASRPASRPAAPSAHPPAHPPPSAAAPAPAPSGQPGLMAQMATTAAGVAVGSA VGHVMGSALTGAFSGGSSEPSQPAVQQAPTPAAPQPLQMGPCAYEIRQFLDCSTTQSDLS LCEGFSEALKQCKYYHGLSSLP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MPRGSRSAASRPASRPAAPSAHPPAHPPPSAAAPAPAPSGQPGLMAQMATTAAGVAVGSAVGHVMGSALTGAFSGGSSEPSQPAVQQAPTPAAPQPLQMGPCAYEIRQFLDCSTTQSDLSLCEGFSEALKQCKYYHGLSSLP |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHCCCCCC |
| Confidence | 9899999999999999999999999999999999988888653356778766543334477666523113578898766566775545655554432369818999999999842797126589999999999995987799 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MPRGSRSAASRPASRPAAPSAHPPAHPPPSAAAPAPAPSGQPGLMAQMATTAAGVAVGSAVGHVMGSALTGAFSGGSSEPSQPAVQQAPTPAAPQPLQMGPCAYEIRQFLDCSTTQSDLSLCEGFSEALKQCKYYHGLSSLP |
| Prediction | 7546646564545555464565446544554544444445444344423333333333322133223213222435555546554545554444444444303421430350366553153053034004302643536538 |
| 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 | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHCCCCCC MPRGSRSAASRPASRPAAPSAHPPAHPPPSAAAPAPAPSGQPGLMAQMATTAAGVAVGSAVGHVMGSALTGAFSGGSSEPSQPAVQQAPTPAAPQPLQMGPCAYEIRQFLDCSTTQSDLSLCEGFSEALKQCKYYHGLSSLP | |||||||||||||||||||
| 1 | 6z9lA | 0.04 | 0.04 | 1.82 | 1.00 | DEthreader | ------------------E-QQTAKQAKELKEAVEKEAKAENKQKEEAKAKDQKTKDDQAVADQQTVVTTSQEKVTAKATAAQLTAKENALKDKQAATKQAQNTLDNSKEELKGHKGSKEELQQEIASNQEKLATAQQAESQ | |||||||||||||
| 2 | 2lqtA | 0.21 | 0.06 | 2.01 | 1.82 | HHsearch | ---------------------------------------------------------------------------------------------------NPCLSESDASTRCLDENYDRERCSTYFLRYKNCRRFWNSIFMP | |||||||||||||
| 3 | 3sf4A2 | 0.11 | 0.07 | 2.56 | 0.48 | CEthreader | ------------------------------------------GEFPEEVRDALQAAVDFYEENLSLVTALGDRAAQGR------AFGNLGNTHYLLGNFRDAVIAHEQRLLIAKEFGDKAAERRAYSNLGNAYIFLGEFETA | |||||||||||||
| 4 | 2v0oA | 0.05 | 0.05 | 2.33 | 0.57 | EigenThreader | FVRERATIEEAYSRSMTKLAKSASNYSQLGTFDVFKTSTEKLANCHLDLVRKLQELIKEVQKYGEEQVKSHKKTKEEVAGTLEAVQTIQSITQALQKSKENYNAKCVEQERLKKEGATQREIEKAAVKSKKATDTYKLYVEK | |||||||||||||
| 5 | 6y79U | 0.18 | 0.13 | 4.13 | 0.56 | FFAS-3D | -PREAAAHWV---------PFEDKANMPDNVPDVVEVGATSAPLLSASYFIGAKLKEGRRVTRCAVSVIED--------------------------INKSCLDEFRLHWQCLENNHQLSGCRKAEALLNKCVFTK------ | |||||||||||||
| 6 | 6w2wA2 | 0.12 | 0.09 | 3.24 | 0.90 | SPARKS-K | --------ENEAAKECLKAVRAALEAALLALLLLAKHPGSQAAQDAVQLATAALRAVEAACQLAKQY-------------------------PNSDIAKKCIKAASEAAEEASKAAEEAQRSQKARDEIKEASQKAEEVKER | |||||||||||||
| 7 | 2veqA | 0.12 | 0.06 | 1.99 | 0.58 | CNFpred | -----------------------------------------------MVMQTITRVVSFISFYQIFVESAA----------------------------KQLLVDLTELTANLPFGSKLDKLVYLTERLSKLKLLWDKVQLL | |||||||||||||
| 8 | 6z9lA4 | 0.06 | 0.05 | 2.09 | 1.00 | DEthreader | -------------------------------AEAKVKKAAKAELANKQKEEAKAKDQKTKDDQAVADQQ-TVVTSQEKVTKAAKQADLTAKENALKDKQAATKQAQNTLDNSKEELHKLQEIASNQEKLATAQQ-A-ESDQQ | |||||||||||||
| 9 | 4xydA | 0.05 | 0.05 | 2.33 | 0.74 | MapAlign | SNLALDKMYWWYVVHLWVEGTWELVMASVLAFLMLKLTGVDREIIEKWLYLIVATALFSGILGTGHNKAALLWSLGCATLAFFGAGVWGFLHTLHGINYYTHGTQITAAHGHLAAGGMTFMTFVLTFAGTVQTHAQRVQGDY | |||||||||||||
| 10 | 2k3pA | 0.10 | 0.10 | 3.61 | 0.64 | MUSTER | SQNFGRIAPVTGGTAGISVGVPGYLRTPSSTILAPSNAQIISLGLQTTLAPVLSSASASARVSSLAQSLASALSTSRGTLSLSTFLNLLSSISSEIRALDGTQATVEVLLEALAALLQVIN-PSVNAALVSALVA------- | |||||||||||||
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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. |