Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in c

Background: Protein-protein interactions have traditionally been studied on a small scale, using classical biochemical methods to investigate the proteins of interest. More recently large-scale methods, such as two-hybrid screens, have been utilised to survey extensive portions of genomes. Current high-throughput approaches have a relatively high rate of errors, whereas in-depth biochemical studies are too expensive and time-consuming to be practical for extensive studies. As a result, there are gaps in our knowledge of many key biological networks, for which computational approaches are particularly suitable. Results: We constructed networks, or 'interactomes', of putative protein-protein interactions in the rat proteome

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Pall F. Jonsson, Tamara Cavanna, Daniel Zicha, Paul A. Bates
• Keywords: BMCBI 2006, Key Proteins, Protein-protein Interactions, Proteins