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Bioinformatics. 2007 Dec 15;23(24):3397-9. Epub 2007 Oct 12.

InterProSurf: a web server for predicting interacting sites on protein surfaces.

Author information

1
Department of Biochemistry and Molecular Biology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, Texas 77555-0857, USA.

Abstract

A new web server, InterProSurf, predicts interacting amino acid residues in proteins that are most likely to interact with other proteins, given the 3D structures of subunits of a protein complex. The prediction method is based on solvent accessible surface area of residues in the isolated subunits, a propensity scale for interface residues and a clustering algorithm to identify surface regions with residues of high interface propensities. Here we illustrate the application of InterProSurf to determine which areas of Bacillus anthracis toxins and measles virus hemagglutinin protein interact with their respective cell surface receptors. The computationally predicted regions overlap with those regions previously identified as interface regions by sequence analysis and mutagenesis experiments.

AVAILABILITY:

The InterProSurf web server is available at http://curie.utmb.edu/

PMID:
17933856
PMCID:
PMC2636624
DOI:
10.1093/bioinformatics/btm474
[Indexed for MEDLINE]
Free PMC Article

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