Detecting protein complexes based on a combination of topological and biological properties in protein-protein interaction network

Publication date: June 2018Source: Journal of Genetic Engineering and Biotechnology, Volume 16, Issue 1Author(s): Pooja Sharma, D.K. Bhattacharyya, J.K. KalitaAbstractProtein complexes are known to play a major role in controlling cellular activity in a living being. Identifying complexes from raw protein protein interactions (PPIs) is an important area of research. Earlier work has been limited mostly to yeast. Such protein complex identification methods, when applied to large human PPIs often give poor performance. We introduce a novel method called CSC to detect protein complexes. The method is evaluated in terms of positive predictive value, sensitivity and accuracy using the datasets of the model organism, yeast and humans. CSC outperforms several other competing algorithms for both organisms. Further, we present a framework to establish the usefulness of CSC in analyzing the influence of a given disease gene in a complex topologically as well as biologically considering eight major association factors.

Source: Journal of Genetic Engineering and Biotechnology - July 11, 2018 Category: Biotechnology Source Type: research