title: Capturing cellular machines by systematic screens of protein complexes.
abstract: Two recent studies have provided the most complete screen for protein complexes in yeast to date, in which partners were identified for approximately half of the proteome. A comparison shows that these two datasets are complementary. In addition, one of the analyses points to a modular organization of the cellular protein network. These data will prove useful in defining principles and trends that arise when combining large-scale datasets of different natures, and in deriving properties of protein machines in cellular systems.
authors.affiliation: European Molecular Biology Laboratory, Heidelberg 69117, Germany.
authors.forename: Julien
authors.initials: J
authors.lastname: Gagneur
authors.forename: Lior
authors.initials: L
authors.lastname: David
authors.forename: Lars M
authors.initials: LM
authors.lastname: Steinmetz
mesh_terms: D008954:Models, Biological; D011485:Protein Binding; D020543:Proteome / Q000737:chemistry / Q000235:genetics / Q000378:metabolism*; D040901:Proteomics / Q000379:methods* / Q000639:trends; D029701:Saccharomyces cerevisiae Proteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism*
chemical_list: D020543:Proteome; D029701:Saccharomyces cerevisiae Proteins