False positive reduction in protein-protein interaction predictions using gene ontology annotations.

ABSTRACT:

Background

Many crucial cellular operations such as metabolism, signalling, and regulations are based on protein-protein interactions. However, the lack of robust protein-protein interaction information is a challenge. One reason for the lack of solid protein-protein interaction information is poor agreement between experimental findings and computational sets that, in turn, comes from huge false positive predictions in computational approaches. Reduction of false positive predictions and enhancing true positive fraction of computationally predicted protein-protein interaction datasets based on highly confident experimental results has not been adequately investigated.

Results

Gene Ontology (GO) annotations were used to reduce false positive protein-protein interactions (PPI

SUBMITTER: Mahdavi MA 

PROVIDER: S-EPMC1941744 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature