Protein & Peptide Letters

Prof. Ben M. Dunn  
Department of Biochemistry and Molecular Biology
University of Florida
College of Medicine
P.O. Box 100245
Gainesville, FL


Computational Methods for the Prediction of Protein-Protein Interactions

Author(s): Jun-Feng Xia, Shu-Lin Wang, Ying-Ke Lei.


Protein-protein interactions (PPIs) are key components of most cellular processes, so identification of PPIs is at the heart of functional genomics. A number of experimental techniques have been developed to discover the PPI networks of several organisms. However, the accuracy and coverage of these techniques have proven to be limited. Therefore, it is important to develop computational methods to assist in the design and validation of experimental studies and for the prediction of interaction partners. Here, we provide a critical overview of existing computational methods including genomic context method, structure-based method, domain-based method and sequence-based method. While an exhaustive list of methods is not presented, we analyze the relative strengths and weaknesses for each of the methods discussed, as well as a broader perspective on computational techniques for determining PPIs. In addition to algorithms for interaction prediction, description of many useful databases pertaining to PPIs is also provided.

Keywords: Protein-protein interactions, computational techniques, genome context, protein structure, protein domain, protein sequence, protein interaction databases

Order Reprints Order Eprints Rights & PermissionsPrintExport

Article Details

Year: 2010
Page: [1069 - 1078]
Pages: 10
DOI: 10.2174/092986610791760405
Price: $58