La maladie de Parkinson au Canada (serveur d'exploration)

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Computational Methods For Predicting Protein–Protein Interactions

Identifieur interne : 002344 ( Main/Exploration ); précédent : 002343; suivant : 002345

Computational Methods For Predicting Protein–Protein Interactions

Auteurs : Sylvain Pitre [Canada] ; Md Alamgir [Canada] ; James R. Green [Canada] ; Michel Dumontier [Canada] ; Frank Dehne [Canada] ; Ashkan Golshani [Canada]

Source :

RBID : ISTEX:16255347B412D2FD5DB45D7BC462DEFA1DACF753

Abstract

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.

Url:
DOI: 10.1007/10_2007_089


Affiliations:


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