A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge.

ABSTRACT:

Background

The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the functional analysis because the function of unknown proteins can be postulated on the basis of their interaction evidence with known proteins. The protein-protein interaction data sets have been enriched by high-throughput experimental methods. However, the functional analysis using the interaction data has a limitation in accuracy because of the presence of the false positive data experimentally generated and the interactions that are a lack of functional linkage.

Results

Protein-protein interaction data can be integrated with the functional knowledge existing in the Gene Ontology (GO) database. We apply

SUBMITTER: Cho YR 

PROVIDER: S-EPMC2570367 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature