Prediction of protein-protein interaction networks.
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. While an exhaustive list of approaches is not presented, it is hoped that the reader will gain a sense of how these approaches are implemented and an idea of their relative strengths and weaknesses, and a broader perspective on the type of work being conducted in this highly active area of research.
Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Shawn M
SM
Gomez
Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Kwangbom
K
Choi
Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Yang
Y
Wu
D000465:Algorithms; D003198:Computer Simulation; D008954:Models, Biological; D025941:Protein Interaction Mapping / Q000379:methods*; D020543:Proteome / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*; D012984:Software
D020543:Proteome