Standardized drug and pharmacological class network construction.
Dozens of drug terminologies and resources capture the drug and/or drug class information, ranging from their coverage and adequacy of representation. 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 network that integrates multiple drug terminological resources, using Anatomical Therapeutic Chemical (ATC) and National Drug File Reference Terminology (NDF-RT) as network backbone, and expanding with RxNorm and Structured Product Label (SPL). The network consists of 39,728 drugs and drug classes. We calculated and compared structure similarity for each drug/drug class pair from ATC and NDF-RT, and analyzed constructed drug class network from chemical structure perspective.
Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Qian
Q
Zhu
Guoqian
G
Jiang
Liwei
L
Wang
Christopher G
CG
Chute
D004346:Drug Information Services / Q000592:standards*; D008498:Medical Record Linkage / Q000592:standards*; D009323:Natural Language Processing; D004364:Pharmaceutical Preparations / Q000592:standards*; D062245:RxNorm; D018875:Vocabulary, Controlled
D004364:Pharmaceutical Preparations