A high-accuracy consensus map of yeast protein complexes reveals modular nature of gene essentiality

Background: Identifying all protein complexes in an organism is a major goal of systems biology. In the past 18 months, the results of two genome-scale tandem affinity purification-mass spectrometry (TAP-MS) assays in yeast have been published, along with corresponding complex maps. For most complexes, the published data sets were surprisingly uncorrelated. It is therefore useful to consider the raw data from each study and generate an accurate complex map from a high-confidence data set that integrates the results of these and earlier assays. Results: Using an unsupervised probabilistic scoring scheme, we assigned a confidence score to each interaction in the matrix-model interpretation of the large-scale yeast mass-spectrometry data sets. The scoring metric proved more accurate than the filtering schemes used in the original data sets. We then took a high-confidence subset of these interactions and derived a set of complexes using MCL. The complexes show high correlation with existi...

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: G. Traver Hart, Insuk Lee, Edward M. Marcotte
• Keywords: BMCBI 2007, Data Sets, Protein, Protein Complexes