Prediction of yeast protein-protein interaction network: insights from the Gene Ontology and annotations.

ABSTRACT: A map of protein-protein interactions provides valuable insight into the cellular function and machinery of a proteome. By measuring the similarity between two Gene Ontology (GO) terms with a relative specificity semantic relation, here, we proposed a new method of reconstructing a yeast protein-protein interaction map that is solely based on the GO annotations. The method was validated using high-quality interaction datasets for its effectiveness. Based on a Z-score analysis, a positive dataset and a negative dataset for protein-protein interactions were derived. Moreover, a gold standard positive (GSP) dataset with the highest level of confidence that covered 78% of the high-quality interaction dataset and a gold standard negative (GSN) dataset with the lowest level of confidence were de

SUBMITTER: Wu X 

PROVIDER: S-EPMC1449908 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature