Title
ComplexContact: a web server for inter-protein contact prediction using deep learning.
Abstract
ComplexContact (http://raptorx2.uchicago.edu/ComplexContact/) is a web server for sequencebased 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.
Year
DOI
Venue
2018
10.1093/nar/gky420
NUCLEIC ACIDS RESEARCH
Field
DocType
Volume
Genome,World Wide Web,Biology,Artificial intelligence,Deep learning,Genetics,Web server
Journal
46
Issue
ISSN
Citations 
W1
0305-1048
1
PageRank 
References 
Authors
0.35
14
7
Name
Order
Citations
PageRank
Hong Zeng173.85
Sheng Wang226528.52
Tianming Zhou310.35
Feifeng Zhao410.35
Li, Xiufeng510.68
Qing Wu637434.70
Xu, Jinbo788866.00