Protein complex identification by integrating protein-protein interaction evidence from multiple sources.

ABSTRACT:

Background

Understanding protein complexes is important for understanding the science of cellular organization and function. Many computational methods have been developed to identify protein complexes from experimentally obtained protein-protein interaction (PPI) networks. However, interaction information obtained experimentally can be unreliable and incomplete. Reconstructing these PPI networks with PPI evidences from other sources can improve protein complex identification.

Results

We combined PPI information from 6 different sources and obtained a reconstructed PPI network for yeast through machine learning. Some popular protein complex identification methods were then applied to detect yeast protein complexes using the new PPI networks. Our evaluation indicates that pro

SUBMITTER: Xu B 

PROVIDER: S-EPMC3873956 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature