Drug-drug interaction discovery and demystification using Semantic Web technologies.

ABSTRACT:

Objective

To develop a novel pharmacovigilance inferential framework to infer mechanistic explanations for asserted drug-drug interactions (DDIs) and deduce potential DDIs.

Materials and methods

A mechanism-based DDI knowledge base was constructed by integrating knowledge from several existing sources at the pharmacokinetic, pharmacodynamic, pharmacogenetic, and multipathway interaction levels. A query-based framework was then created to utilize this integrated knowledge base in conjunction with 9 inference rules to infer mechanistic explanations for asserted DDIs and deduce potential DDIs.

Results

The drug-drug interactions discovery and demystification (D3) system achieved an overall 85% recall rate in terms of inferring mechanistic explanations for the DDIs integra

SUBMITTER: Noor A 

PROVIDER: S-EPMC7651897 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature