title: Prediction of protein-protein interaction networks.
abstract: This unit offers a general overview of several techniques that have been developed for inferring functional and/or protein-protein interaction networks. The majority of these use whole-genome sequences as their primary input source of data. In addition, a few methods that utilize both protein features and experimental protein-protein interaction data directly in the prediction of new interactions have recently been developed. As a result, a slightly more detailed description of one such method is also provided. While not an exhaustive list of approaches, it is hoped that the reader will gain a sense of how these approaches are implemented, an idea of their relative strengths and weaknesses, as well as some perspective on the type of work being conducted in this highly active area of research.
authors.affiliation: Unité de Biochimie et Biologie Moléculaire des Insectes Institut Pasteur, Paris, France.
authors.forename: Shawn M
authors.initials: SM
authors.lastname: Gomez
mesh_terms: D001665:Binding Sites; D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods*; D008954:Models, Biological; D008956:Models, Chemical; D011485:Protein Binding; D025941:Protein Interaction Mapping / Q000379:methods*; D020543:Proteome / Q000737:chemistry* / Q000378:metabolism*; D020539:Sequence Analysis, Protein / Q000379:methods; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D020543:Proteome