Search Organism: All OrganismsArabidopsis thalianaBacillus subtilis 168Bos taurusCaenorhabditis elegansCanis familiarisDanio rerioDrosophila melanogasterEquus caballusEscherichia coli K12Gallus gallusHomo sapiensMacaca mulattaMus musculusNematostella vectensisOryza sativaPan troglodytesRattus norvegicusSaccharomyces cerevisiaeSchizosaccharomyces pombeStrongylocentrotus purpuratusTakifugu rubripesXenopus laevis home help / support contribute downloads mirrors about us Mol. Cell Proteomics Mar (2007); 6(3):439-50 Toward a Comprehensive Atlas of the Physical Interactome of Saccharomyces cerevisiae- Collins SR, Kemmeren P, Zhao XC, Greenblatt JF, Spencer F, Holstege FC, Weissman JS, Krogan NJ Department of Cellular and Molecular Pharmacology and bThe California Institute for Quantitative Biomedical Research, University of California, San Francisco, California 94158- Abstract: Defining protein complexes is critical to virtually all aspects of cell biology- Two recent affinity purification-mass spectrometry studies in Saccharomyces cerevisiae have vastly increased the available protein interaction data- The practical utility of such high throughput interaction sets, however, is substantially decreased by the presence of false positives- Here we created a novel probabilistic metric that takes advantage of the high density of these data, including both the presence and absence of individual associations, to provide a measure of the relative confidence of each potential protein-protein interaction- This analysis largely overcomes the noise inherent in high throughput immunoprecipitation experiments- For example, of the 12,122 binary interactions in the general repository of interaction data -BioGRID- derived from these two studies, we marked 7504 as being of substantially lower confidence- Additionally, applying our metric and a stringent cutoff we identified a set of 9074 interactions -including 4456 that were not among the 12,122 interactions- with accuracy comparable to that of conventional small scale methodologies- Finally we organized proteins into coherent multisubunit complexes using hierarchical clustering- This work thus provides a highly accurate physical interaction map of yeast in a format that is readily accessible to the biological community- [PUBMED: 17200106] Copyright © 2009, Tyers Lab, The Samuel Lunenfeld Research Institute, Mount Sinai Hospital, All Rights Reserved. terms and conditions - privacy policy - Osprey Network Visualization System BioGRID: A General Repository for Interaction Datasets. Chris Stark, Bobby-Joe Breitkreutz, Teresa Reguly, Lorrie Boucher, Ashton Breitkreutz, Mike Tyers. Nucleic Acids Res. Jan 1;34:D535-9.