Predicting Protein-Protein Interactions from the Molecular to the Proteome Level

2016-04-27
Keskin, Ozlem
Tunçbağ, Nurcan
Gursoy, Attila
Identification of protein protein interactions (PPIs) is at the center of molecular biology considering the unquestionable role of proteins in cells. Combinatorial interactions result in a repertoire of multiple functions; hence, knowledge of PPI and binding regions naturally serve to functional proteomics and drug discovery. Given experimental limitations to find all interactions in a proteome, computational prediction/modeling of protein interactions is a prerequisite to proceed on the way to complete interactions at the proteome level. This review aims to provide a background on PPIs and their types. Computational methods for PPI predictions can use a variety of biological data including sequence-, evolution-, expression-, and structure-based data. Physical and statistical modeling are commonly used to integrate these data and infer PPI predictions. We review and list the state-of-the-art methods, servers, databases, and tools for protein-protein interaction prediction.
Citation Formats
O. Keskin, N. Tunçbağ, and A. Gursoy, “Predicting Protein-Protein Interactions from the Molecular to the Proteome Level,” pp. 4884–4909, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32287.