| >Q8IYI8 (142 residues) MDPVAFKDVAVNFTQEEWALLDISQRKLYREVMLETFRNLTSLGKRWKDQNIEYEHQNPR RNFRSLIEEKVNEIKDDSHCGETFTPVPDDRLNFQEKKASPEVKSCESFVCGEVGLGNSS FNMNIRGDIGHKAYEYQEYGPK |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MDPVAFKDVAVNFTQEEWALLDISQRKLYREVMLETFRNLTSLGKRWKDQNIEYEHQNPRRNFRSLIEEKVNEIKDDSHCGETFTPVPDDRLNFQEKKASPEVKSCESFVCGEVGLGNSSFNMNIRGDIGHKAYEYQEYGPK |
| Prediction | CCCSSSSSSSSSCCHHHHHCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHCCCCCCCSSSSSCCCCCCCCCCCCCSSSCCCCCCCCCCSSCCCCCCCCSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 9982367776764889986169899999999999986500103544346652456642244642266752734677766550140036550112212147997570267877301455653121113269788456153899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MDPVAFKDVAVNFTQEEWALLDISQRKLYREVMLETFRNLTSLGKRWKDQNIEYEHQNPRRNFRSLIEEKVNEIKDDSHCGETFTPVPDDRLNFQEKKASPEVKSCESFVCGEVGLGNSSFNMNIRGDIGHKAYEYQEYGPK |
| Prediction | 8641314201030144057214440350033002201200212343155452454254354433223344444355344024213424624234434433555321416442513234235422421244341243354478 |
| 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 | CCCSSSSSSSSSCCHHHHHCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHCCCCCCCSSSSSCCCCCCCCCCCCCSSSCCCCCCCCCCSSCCCCCCCCSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC MDPVAFKDVAVNFTQEEWALLDISQRKLYREVMLETFRNLTSLGKRWKDQNIEYEHQNPRRNFRSLIEEKVNEIKDDSHCGETFTPVPDDRLNFQEKKASPEVKSCESFVCGEVGLGNSSFNMNIRGDIGHKAYEYQEYGPK | |||||||||||||||||||
| 1 | 2dlqA | 0.08 | 0.06 | 2.25 | 2.32 | SPARKS-K | ---------------------------------------GSSGSSGVECPTCHKKFLSKYYLKVHNRKHTGEKPFECPKCGKCYFRKENLLEHEARNCMNRSEQVFTCSVCQETFRRRMELRLHMVSHTGEMPYKCSSCSQQ | |||||||||||||
| 2 | 5v3gA | 0.16 | 0.12 | 3.99 | 1.01 | CNFpred | -------------------------SHLLRHQRTHTG------EKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQR---THTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRG | |||||||||||||
| 3 | 1vt4I3 | 0.11 | 0.11 | 3.85 | 1.03 | MapAlign | ERMTLFRMVFLDFRFLEQKINDPKYERLVNAAIFEEAHKQVQGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG | |||||||||||||
| 4 | 5egbA | 0.17 | 0.11 | 3.72 | 1.66 | MUSTER | -------------------------------------------EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDK---SHLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRG | |||||||||||||
| 5 | 1x6fA | 0.14 | 0.08 | 2.88 | 1.10 | HHsearch | -------------------------------------------GSSGSS-GL------KRDFIILGGPRLQNSTYQCKHCDSKLQSTAELTSHL---NIHNEE----FQKRAKRQERRKQLLSKQKYADGAFADFKQESGPS | |||||||||||||
| 6 | 2i13A | 0.12 | 0.11 | 4.01 | 2.29 | SPARKS-K | --FSRSDHLAEHQRTHKPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQL---AHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKS | |||||||||||||
| 7 | 2i13A | 0.15 | 0.13 | 4.49 | 1.66 | MUSTER | ------------FSR--SDHLAEHQRTFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQL---AHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKS | |||||||||||||
| 8 | 1wjvA | 0.12 | 0.06 | 2.23 | 1.02 | HHsearch | ----------------------------------------------------------------GSSGSSGMVFFTCNACGESVKK-IQVEKHV---SNCRNCECLSCIDCGKDFWGD-DYKSHVKCISEGQKYGGKGYEAK | |||||||||||||
| 9 | 6wmiA | 0.11 | 0.10 | 3.56 | 2.27 | SPARKS-K | ------------KKLKCTVEGCDRTFVWPAHFKYHLKTHRNDRSFICPAEGCGKSFYVLQRLKVHMRTHNGEKPFMCHECGKQFTTAGNLKNHR---RIHTGEKPFLCEACGRSFAEYSSLRKHLVVHSGEKPHQCQVCGKT | |||||||||||||
| 10 | 6e93A | 0.14 | 0.09 | 3.13 | 1.62 | MUSTER | ---------------------------------------------PYACELCAKQFQSPSTLKMHMRCHTGEKPYQCKTCGRCFSVQ---GNLQKHERIHLGLKEFVCQYCNKAFTLNETLKIHERIHTGEKRYHCQFCFQR | |||||||||||||
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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. |