Protein-protein interactions (PPIs) play a critical role in many cellular functions. A number of experimental techniques have been applied to discover PPIs; however, these techniques are expensive in terms of time, money, and expertise. There are also large discrepancies between the PPI data collected by the same or different techniques in the same organism. We therefore turn to computational techniques for the prediction of PPIs. Computational techniques have been applied to the collection, indexing, validation, analysis, and extrapolation of PPI data. This chapter will focus on computational prediction of PPI, reviewing a number of techniques including PIPE, developed in our own laboratory. For comparison, the conventional large-scale approaches to predict PPIs are also briefly discussed. The chapter concludes with a discussion of the limitations of both experimental and computational methods of determining PPIs.

Additional Metadata
Keywords Automated tools, Computational techniques, Interactome, PIPE, Protein-protein interaction
Persistent URL dx.doi.org/10.1007/10_2007_089
Citation
Pitre, S, Alamgir, M. (Md), Green, J, Dumontier, M. (Michel), Dehne, F, & Golshani, A. (2008). Computational methods for predicting protein-protein interactions. doi:10.1007/10_2007_089