Toward a comprehensive atlas of the physical interactome of Saccharomyces cerevisiae (2007)
| Venue: | Mol. Cell. Proteomics |
| Citations: | 13 - 0 self |
BibTeX
@ARTICLE{Collins07towarda,
author = {Sean R. Collins and K Patrick Kemmeren and F Xue-chu Zhao and G Jack F. Greenblatt and Forrest Spencer and G Frank C. P. Holstege and E Jonathan S. Weissman and Nevan J. Krogan A},
title = {Toward a comprehensive atlas of the physical interactome of Saccharomyces cerevisiae},
journal = {Mol. Cell. Proteomics},
year = {2007},
volume = {6},
pages = {439--450}
}
OpenURL
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







