title: InterProSurf: a web server for predicting interacting sites on protein surfaces.
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.
  
  
  BACKGROUND
  The InterProSurf web server is available at http://curie.utmb.edu/
authors.affiliation: Department of Biochemistry and Molecular Biology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, Texas 77555-0857, USA.
authors.forename: Surendra S
authors.initials: SS
authors.lastname: Negi
authors.forename: Catherine H
authors.initials: CH
authors.lastname: Schein
authors.forename: Numan
authors.initials: N
authors.lastname: Oezguen
authors.forename: Trevor D
authors.initials: TD
authors.lastname: Power
authors.forename: Werner
authors.initials: W
authors.lastname: Braun
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D020407:Internet; D011485:Protein Binding; D025941:Protein Interaction Mapping / Q000379:methods*; D011506:Proteins / Q000378:metabolism*; D016415:Sequence Alignment / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D011506:Proteins