Prediction of protein-protein interactions using distant conservation of sequence patterns and structure relationships
Author(s) -
Jordi Espadaler,
Oriol RomeroIsart,
Richard M. Jackson,
Baldo Oliva
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti522
Subject(s) - protein–protein interaction , in silico , computational biology , consistency (knowledge bases) , intersection (aeronautics) , computer science , set (abstract data type) , protein structure , protein function prediction , gene ontology , protein family , biology , protein function , genetics , gene , artificial intelligence , biochemistry , gene expression , engineering , programming language , aerospace engineering
Given that association and dissociation of protein molecules is crucial in most biological processes several in silico methods have been recently developed to predict protein-protein interactions. Structural evidence has shown that usually interacting pairs of close homologs (interologs) physically interact in the same way. Moreover, conservation of an interaction depends on the conservation of the interface between interacting partners. In this article we make use of both, structural similarities among domains of known interacting proteins found in the Database of Interacting Proteins (DIP) and conservation of pairs of sequence patches involved in protein-protein interfaces to predict putative protein interaction pairs.
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