Protein complexes predictions within protein interaction networks using genetic algorithms.

ABSTRACT:

Background

Protein-protein interaction networks are receiving increased attention due to their importance in understanding life at the cellular level. A major challenge in systems biology is to understand the modular structure of such biological networks. Although clustering techniques have been proposed for clustering protein-protein interaction networks, those techniques suffer from some drawbacks. The application of earlier clustering techniques to protein-protein interaction networks in order to predict protein complexes within the networks does not yield good results due to the small-world and power-law properties of these networks.

Results

In this paper, we construct a new clustering algorithm for predicting protein complexes through the use of genetic algorithms. We d

SUBMITTER: Ramadan E 

PROVIDER: S-EPMC4965715 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature