Construction of ontology augmented networks for protein complex prediction.

ABSTRACT: Protein complexes are of great importance in understanding the principles of cellular organization and function. The increase in available protein-protein interaction data, gene ontology and other resources make it possible to develop computational methods for protein complex prediction. Most existing methods focus mainly on the topological structure of protein-protein interaction networks, and largely ignore the gene ontology annotation information. In this article, we constructed ontology augmented networks with protein-protein interaction data and gene ontology, which effectively unified the topological structure of protein-protein interaction networks and the similarity of gene ontology annotations into unified distance measures. After constructing ontology augmented networks, a novel

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC3641129 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature