title: Computational prediction of protein-protein interactions.
abstract: The prediction of protein-protein interactions and kinase-specific phosphorylation sites on individual proteins is critical for correctly placing proteins within signaling pathways and networks. The importance of this type of annotation continues to increase with the continued explosion of genomic and proteomic data, particularly with emerging data categorizing posttranslational modifications on a large scale. A variety of computational tools are available for this purpose. In this chapter, we review the general methodologies for these types of computational predictions and present a detailed user-focused tutorial of one such method and computational tool, Scansite, which is freely available to the entire scientific community over the Internet.
authors: Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
authors: Tobias
authors: T
authors: Ehrenberger
authors: Lewis C
authors: LC
authors: Cantley
authors: Michael B
authors: MB
authors: Yaffe
mesh_terms: D000465:Algorithms; D020816:Amino Acid Motifs; D001665:Binding Sites; D019295:Computational Biology; D030562:Databases, Protein; D008967:Molecular Biology / Q000379:methods*; D010766:Phosphorylation; D010770:Phosphotransferases / Q000737:chemistry*; D011485:Protein Binding; D060066:Protein Interaction Maps; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D040901:Proteomics; D012984:Software
chemical_list: D011506:Proteins; D010770:Phosphotransferases