Algorithmic approaches to protein-protein interaction site prediction.

ABSTRACT: Interaction sites on protein surfaces mediate virtually all biological activities, and their identification holds promise for disease treatment and drug design. Novel algorithmic approaches for the prediction of these sites have been produced at a rapid rate, and the field has seen significant advancement over the past decade. However, the most current methods have not yet been reviewed in a systematic and comprehensive fashion. Herein, we describe the intricacies of the biological theory, datasets, and features required for modern protein-protein interaction site (PPIS) prediction, and present an integrative analysis of the state-of-the-art algorithms and their performance. First, the major sources of data used by predictors are reviewed, including training sets, evaluation sets, and meth

SUBMITTER: Aumentado-Armstrong TT 

PROVIDER: S-EPMC4338852 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature