title: Identifying components of complexes.
abstract: Identifying and analyzing components of complexes is essential to understand the activities and organization of the cell. Moreover, it provides additional information on the possible function of proteins involved in these complexes. Two bioinformatics approaches are usually used for this purpose. The first is based on the identification, by clustering algorithms, of full or densely connected sub-graphs in protein-protein interaction networks derived from experimental sources that might represent complexes. The second approach consists of the integration of genomic and proteomic data by using Bayesian networks or decision trees. This approach is based on the hypothesis that proteins involved in a complex usually share common properties.
authors: Research School of Biological Sciences and ARC Centre of Excellence for Integrative Legume Research, The Australian National University, Canberra, Australian Capital Territory, Australia.
authors: Nicolas
authors: N
authors: Goffard
authors: Georg
authors: G
authors: Weiller
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D046912:Multiprotein Complexes / Q000737:chemistry*; D025941:Protein Interaction Mapping; D020543:Proteome / Q000378:metabolism; D040901:Proteomics / Q000379:methods
chemical_list: D046912:Multiprotein Complexes; D020543:Proteome