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

  • Keskin O
  • Tuncbag N
  • Gursoy A
  • 149


    Mendeley users who have this article in their library.
  • 27


    Citations of this article.


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.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text


  • Ozlem Keskin

  • Nurcan Tuncbag

  • Attila Gursoy

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free