A two-stage classifier for identification of protein-protein interface residues.

A two-stage classifier for identification of protein-protein interface residues. Research Abstract Details 

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A two-stage classifier for identification of protein-protein interface residues. Abstract Text:

Changhui Yan,Drena Dobbs,Vasant Honavar,

MOTIVATION: The ability to identify protein-protein interaction sites and to detect specific amino acid residues that contribute to the specificity and affinity of protein interactions has important implications for problems ranging from rational drug design to analysis of metabolic and signal transduction networks. RESULTS: We have developed a two-stage method consisting of a support vector machine (SVM) and a Bayesian classifier for predicting surface residues of a protein that participate in protein-protein interactions. This approach exploits the fact that interface residues tend to form clusters in the primary amino acid sequence. Our results show that the proposed two-stage classifier outperforms previously published sequence-based methods for predicting interface residues. We also present results obtained using the two-stage classifier on an independent test set of seven CAPRI (Critical Assessment of PRedicted Interactions) targets. The success of the predictions is validated by examining the predictions in the context of the three-dimensional structures of protein complexes.

A two-stage classifier for identification of protein-protein interface residues. Publishing Authors By Initials

C Yan,D Dobbs,V Honavar,

For similar investigative techniques: genetic techniques: sequence analysis: sequence analysis, protein research abstracts see: investigative techniques: genetic techniques: sequence analysis: sequence analysis, protein research

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A two-stage classifier for identification of protein-protein interface residues. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Bioinformatics (Oxford, England)

VOLUME: 20 Suppl 1

Page Numbers: i371-8

Journal Abbreviation: Bioinformatics

ISSN: 1460-2059

DAY: 4

MONTH: Aug

YEAR: 2004

A two-stage classifier for identification of protein-protein interface residues. Information

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LANGUAGE: eng

NlmUniqueID: 9808944

A two-stage classifier for identification of protein-protein interface residues. Keywords Mesh Terms:

KEYWORDS: Sequence Analysis, Protein

MESH TERMS: methods

Chemical & Substance for Abstract: A two-stage classifier for identification of protein-protein interface residues. Information

Substance Name: Proteins

Registry Number: 0

Grant and Affiliation Information for A two-stage classifier for identification of protein-protein interface residues.

AFFILIATION: Artificial Intelligence Research Laboratory, Iowa State University, Ames, IA, 50010, USA. chhyan@iastate.edu

Country: England

AGENCY: United States NIGMS

GRANT: GM066387

ACRONYM: GM

MEDLINETA: Bioinformatics

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