Function Prediction for G Protein-Coupled Receptors through Text Mining and Induction Matrix Completion.

ABSTRACT: G protein-coupled receptors (GPCRs) constitute the key component of cellular signal transduction. Accurately annotating the biological functions of GPCR proteins is vital to the understanding of the physiological processes they involve in. With the rapid development of text mining technologies and the exponential growth of biomedical literature, it becomes urgent to explore biological functional information from various literature for systematically and reliably annotating these known GPCRs. We design a novel three-stage approach, TM-IMC, using text mining and inductive matrix completion, for automated prediction of the gene ontology (GO) terms of the GPCR proteins. Large-scale benchmark tests show that inductive matrix completion models contribute to GPCR-GO association prediction for bot

SUBMITTER: Wu J 

PROVIDER: S-EPMC6649004 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature