ABSTRACT
The growing significance of bioinformatics and systems biology in drug safety research requires a system of adverse-event classification that goes beyond a simple vocabulary. This opinion piece outlines the need for development of an ontology-based framework of describing adverse drug reactions (ADRs) and describes the potential applications for such a framework.
Subject(s)
Drug-Related Side Effects and Adverse Reactions/classification , Bayes Theorem , Classification , Clinical Trials as Topic , Computational Biology , Databases, Factual , Humans , Models, Organizational , Pharmacovigilance , Public Health , Terminology as TopicABSTRACT
The rapid evolution of large biological, pharmacological, and chemical databases has led to optimism that such data resources can be leveraged for prediction of drug action based on molecular descriptors of the drug. Challenges to realize this possibility include organization of each type of database in a manner that allows extraction of information across disparate data sources and the linkage of information across the biological, pharmacological, and chemical domains.
