Computational Methods For Predicting Protein-Protein Interactions

Sylvain Pitre, Md Alamgir, James R. Green, Michel Dumontier, Frank Dehne, Ashkan Golshani*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

50 Citations (Web of Science)

Abstract

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.
Original languageEnglish
Title of host publicationPROTEIN - PROTEIN INTERACTION
Pages247-267
Volume110
DOIs
Publication statusPublished - 2008
Externally publishedYes

Publication series

SeriesAdvances in Biochemical Engineering-Biotechnology

Keywords

  • Automated tools
  • Computational techniques
  • Interactome
  • PIPE
  • Protein-protein interaction

Cite this