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PMID: 17868464 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.

Genome biology ·Vol. 8 ·No. 9 ·2007-00-00 ·Pages R192

Wang H, Segal E, Ben-Hur A, Li QR, Vidal M, Koller D

Abstract

We propose InSite, a computational method that integrates high-throughput protein and sequence data to infer the specific binding regions of interacting protein pairs. We compared our predictions with binding sites in Protein Data Bank and found significantly more binding events occur at sites we predicted. Several regions containing disease-causing mutations or cancer polymorphisms in human are predicted to be binding for protein pairs related to the disease, which suggests novel mechanistic hypotheses for several diseases.

MeSH Terms
Algorithms Computational Biology/methods Databases, Protein Electronic Data Processing Gene Expression Profiling Humans Polymorphism, Genetic Protein Binding Protein Interaction Mapping/methods Proteome Proteomics Saccharomyces cerevisiae/metabolism Software Two-Hybrid System Techniques
Chemicals
Proteome
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Wang Haidong
Computer Science Department, Stanford University, Serra Mall, Stanford, CA 94305, USA. haidong@cs.stanford.edu
Segal Eran
Ben-Hur Asa
Li Qian-Ru
Vidal Marc
Koller Daphne
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Article Info
Journal
Genome biology
Abbr.
Genome Biol
ISSN
1474-760X
Published
2007-00-00
Pages
R192
Language
English
Region
England
NLM ID
100960660
PMCID
PMC2375030
Subset
IM
Analysis Services
Analysis Services

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