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A combined experimental and computational strategy to define protein interaction networks for peptide recognition modules.

Science (New York, N.Y.) | Jan 11, 2002

Peptide recognition modules mediate many protein-protein interactions critical for the assembly of macromolecular complexes. Complete genome sequences have revealed thousands of these domains, requiring improved methods for identifying their physiologically relevant binding partners. We have developed a strategy combining computational prediction of interactions from phage-display ligand consensus sequences with large-scale two-hybrid physical interaction tests. Application to yeast SH3 domains generated a phage-display network containing 394 interactions among 206 proteins and a two-hybrid network containing 233 interactions among 145 proteins. Graph theoretic analysis identified 59 highly likely interactions common to both networks. Las17 (Bee1), a member of the Wiskott-Aldrich Syndrome protein (WASP) family of actin-assembly proteins, showed multiple SH3 interactions, many of which were confirmed in vivo by coimmunoprecipitation.

Pubmed ID: 11743162 RIS Download

Mesh terms: Algorithms | Amino Acid Motifs | Amino Acid Sequence | Binding Sites | Computational Biology | Consensus Sequence | Cytoskeletal Proteins | Databases, Genetic | Databases, Protein | Fungal Proteins | Ligands | Molecular Sequence Data | Peptide Library | Peptides | Protein Binding | Protein Structure, Tertiary | Proteins | Proteome | Saccharomyces cerevisiae | Saccharomyces cerevisiae Proteins | Software | Two-Hybrid System Techniques | Wiskott-Aldrich Syndrome Protein | src Homology Domains

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Associated grants

  • Agency: NCRR NIH HHS, Id: P41 RR11823

BioGRID (Data, Interactions)

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