ComplexContact: a web server for inter-protein contact prediction using deep learning.

Abstract:

:ComplexContact (http://raptorx2.uchicago.edu/ComplexContact/) is a web server for sequence-based interfacial residue-residue contact prediction of a putative protein complex. Interfacial residue-residue contacts are critical for understanding how proteins form complex and interact at residue level. When receiving a pair of protein sequences, ComplexContact first searches for their sequence homologs and builds two paired multiple sequence alignments (MSA), then it applies co-evolution analysis and a CASP-winning deep learning (DL) method to predict interfacial contacts from paired MSAs and visualizes the prediction as an image. The DL method was originally developed for intra-protein contact prediction and performed the best in CASP12. Our large-scale experimental test further shows that ComplexContact greatly outperforms pure co-evolution methods for inter-protein contact prediction, regardless of the species.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Zeng H,Wang S,Zhou T,Zhao F,Li X,Wu Q,Xu J

doi

10.1093/nar/gky420

subject

Has Abstract

pub_date

2018-07-02 00:00:00

pages

W432-W437

issue

W1

eissn

0305-1048

issn

1362-4962

pii

5001161

journal_volume

46

pub_type

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