Protein complex detection using interaction reliability assessment and weighted clustering coefficient.

ABSTRACT:

Background

Predicting protein complexes from protein-protein interaction data is becoming a fundamental problem in computational biology. The identification and characterization of protein complexes implicated are crucial to the understanding of the molecular events under normal and abnormal physiological conditions. On the other hand, large datasets of experimentally detected protein-protein interactions were determined using High-throughput experimental techniques. However, experimental data is usually liable to contain a large number of spurious interactions. Therefore, it is essential to validate these interactions before exploiting them to predict protein complexes.

Results

In this paper, we propose a novel graph mining algorithm (PEWCC) to identify such protein complex

SUBMITTER: Zaki N 

PROVIDER: S-EPMC3680028 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature