Literature DB >> 17933856

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

Surendra S Negi1, Catherine H Schein, Numan Oezguen, Trevor D Power, Werner Braun.   

Abstract

UNLABELLED: 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/

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Year:  2007        PMID: 17933856      PMCID: PMC2636624          DOI: 10.1093/bioinformatics/btm474

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  23 in total

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Journal:  Nature       Date:  2001-11-08       Impact factor: 49.962

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Journal:  Curr Opin Struct Biol       Date:  2002-02       Impact factor: 6.809

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Journal:  Protein Sci       Date:  2004-01       Impact factor: 6.725

5.  Selectively receptor-blind measles viruses: Identification of residues necessary for SLAM- or CD46-induced fusion and their localization on a new hemagglutinin structural model.

Authors:  Sompong Vongpunsawad; Numan Oezgun; Werner Braun; Roberto Cattaneo
Journal:  J Virol       Date:  2004-01       Impact factor: 5.103

6.  Structure-based method for analyzing protein-protein interfaces.

Authors:  Ying Gao; Renxiao Wang; Luhua Lai
Journal:  J Mol Model       Date:  2003-11-22       Impact factor: 1.810

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Journal:  J Mol Biol       Date:  2004-04-16       Impact factor: 5.469

9.  Statistical analysis of physical-chemical properties and prediction of protein-protein interfaces.

Authors:  Surendra S Negi; Werner Braun
Journal:  J Mol Model       Date:  2007-09-09       Impact factor: 1.810

10.  SLAM (CDw150) is a cellular receptor for measles virus.

Authors:  H Tatsuo; N Ono; K Tanaka; Y Yanagi
Journal:  Nature       Date:  2000-08-24       Impact factor: 49.962

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  53 in total

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Journal:  Int Arch Allergy Immunol       Date:  2011-11-23       Impact factor: 2.749

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Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

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Journal:  J Mol Model       Date:  2011-08-10       Impact factor: 1.810

Review 4.  Fine-tuning multiprotein complexes using small molecules.

Authors:  Andrea D Thompson; Amanda Dugan; Jason E Gestwicki; Anna K Mapp
Journal:  ACS Chem Biol       Date:  2012-07-23       Impact factor: 5.100

5.  A survey of available tools and web servers for analysis of protein-protein interactions and interfaces.

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Journal:  Brief Bioinform       Date:  2009-02-24       Impact factor: 11.622

6.  Improved prediction of protein binding sites from sequences using genetic algorithm.

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Journal:  Protein J       Date:  2009-08       Impact factor: 2.371

7.  PilF is an outer membrane lipoprotein required for multimerization and localization of the Pseudomonas aeruginosa Type IV pilus secretin.

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Journal:  J Bacteriol       Date:  2008-09-05       Impact factor: 3.490

8.  A hybrid method for protein-protein interface prediction.

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Journal:  Protein Sci       Date:  2015-07-21       Impact factor: 6.725

9.  Automated detection of conformational epitopes using phage display Peptide sequences.

Authors:  Surendra S Negi; Werner Braun
Journal:  Bioinform Biol Insights       Date:  2009-07-01

10.  Amyloidogenic regions and interaction surfaces overlap in globular proteins related to conformational diseases.

Authors:  Virginia Castillo; Salvador Ventura
Journal:  PLoS Comput Biol       Date:  2009-08-21       Impact factor: 4.475

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