Dozens of drug terminologies and resources capture the drug and/or drug class information, ranging from their coverage and adequacy of repre-sentation. No transformative ways are available to link them together in a standard way, which hinders data integration and data representation for drug-related clinical and translational studies. In this paper, we introduce our preliminary work for building a standardized drug and drug class net-work that integrates multiple drug terminological resources, using Anatom-ical Therapeutic Chemical (ATC) and National Drug File Reference Ter-minology (NDF-RT) as network backbone, and expanding with RxNorm and Structured Product Label (SPL). In total, the network consists of 39,728 drugs and drug classes. Meanwhile, we calculated and compared structure similarity for each drug / drug class pair from ATC and NDF-RT, and analysed constructed drug class network from chemical structure per-spective.
|Original language||English (US)|
|Journal||CEUR Workshop Proceedings|
|State||Published - Jan 1 2013|
|Event||4th International Conference on Biomedical Ontology, ICBO 2013 Workshops on International Workshop on Vaccine and Drug Ontology Studies, VDOS 2013 and International Workshop on Definitions in Ontologies, DO 2013 - Part of the Semantic Trilogy 2013 - Montreal, Canada|
Duration: Jul 6 2013 → Jul 12 2013
ASJC Scopus subject areas
- Computer Science(all)