Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation.

ABSTRACT:

Motivation

Protein-protein interactions (PPI) play a crucial role in our understanding of protein function and biological processes. The standardization and recording of experimental findings is increasingly stored in ontologies, with the Gene Ontology (GO) being one of the most successful projects. Several PPI evaluation algorithms have been based on the application of probabilistic frameworks or machine learning algorithms to GO properties. Here, we introduce a new training set design and machine learning based approach that combines dependent heterogeneous protein annotations from the entire ontology to evaluate putative co-complex protein interactions determined by empirical studies.

Results

PPI annotations are built combinatorically using corresponding GO terms and Inte

SUBMITTER: Armean IM 

PROVIDER: S-EPMC5972588 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature