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Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners
Author(s) -
Benjamin A. Shoemaker,
Anna R. Panchenko
Publication year - 2007
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.0030043
Subject(s) - protein–protein interaction , computer science , computational biology , identification (biology) , domain (mathematical analysis) , protein interaction networks , protein domain , computational model , protein structure prediction , protein structure , biology , artificial intelligence , genetics , mathematics , mathematical analysis , biochemistry , botany , gene
Recent advances in high-throughput experimental methods for the identification of protein interactions have resulted in a large amount of diverse data that are somewhat incomplete and contradictory. As valuable as they are, such experimental approaches studying protein interactomes have certain limitations that can be complemented by the computational methods for predicting protein interactions. In this review we describe different approaches to predict protein interaction partners as well as highlight recent achievements in the prediction of specific domains mediating protein-protein interactions. We discuss the applicability of computational methods to different types of prediction problems and point out limitations common to all of them

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