From proteomes to complexomes in the era of systems biology.
Protein complexes carry out almost the entire signaling and functional processes in the cell. The protein complex complement of a cell, and its network of complex-complex interactions, is referred to here as the complexome. Computational methods to predict protein complexes from proteomics data, resulting in network representations of complexomes, have recently being developed. In addition, key advances have been made toward understanding the network and structural organization of complexomes. We review these bioinformatics advances, and their discovery-potential, as well as the merits of integrating proteomics data with emerging methods in systems biology to study protein complex signaling. It is envisioned that improved integration of proteomics and systems biology, incorporating the dynamics of protein complexes in space and time, may lead to more predictive models of cell signaling networks for effective modulation.
Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.
Trevor
T
Clancy
Eivind
E
Hovig
D000818:Animals; D006801:Humans; D051379:Mice; D008954:Models, Biological; D060066:Protein Interaction Maps; D011506:Proteins / Q000032:analysis / Q000737:chemistry / Q000378:metabolism; D020543:Proteome; D040901:Proteomics; D051381:Rats; D049490:Systems Biology
D011506:Proteins; D020543:Proteome
Bioinformatics; Network biology; Protein complexes; Protein interactions; Systems biology