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标准化药物与药理类别网络构建

Standardized drug and pharmacological class network construction.

作者信息

Zhu Qian, Jiang Guoqian, Wang Liwei, Chute Christopher G

机构信息

Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.

出版信息

Stud Health Technol Inform. 2013;192:1125.

Abstract

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.

摘要

数十种药物术语和资源涵盖了药物和/或药物类别信息,其覆盖范围和表述的充分性各不相同。目前尚无变革性方法能够以标准方式将它们联系在一起,这阻碍了与药物相关的临床和转化研究的数据整合及数据呈现。在本文中,我们介绍了构建标准化药物和药物类别网络的初步工作,该网络整合了多种药物术语资源,以解剖学治疗学化学分类系统(ATC)和国家药品文件参考术语(NDF-RT)作为网络主干,并通过RxNorm和结构化产品标签(SPL)进行扩展。该网络由39,728种药物和药物类别组成。我们计算并比较了来自ATC和NDF-RT的每对药物/药物类别的结构相似性,并从化学结构角度分析了构建的药物类别网络。

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