Characterization and classification of adverse drug interactions.

Masataka Takarabe, Daichi Shigemizu, Masaaki Kotera, Susumu Goto, Minoru Kanehisa
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Abstract

Drug interactions which may cause harmful events are important for our health and new drag development. In the previous work, we extracted the drug interaction data from Japanese drug package inserts and generated the drug interaction network. The network contains a large number of drugs densely connected to each other, where drug targets and drug-metabolizing enzymes were shared in the drug interactions. In this study, we further analyzed the obtained drug interaction network by merging drugs into drug categories based on the Anatomical Therapeutic Chemical (ATC) classification. The merged data of drug interactions indicated drug properties that are related to drug interaction mechanisms or symptoms. We investigated the relationships between the drug groups and drug interaction mechanisms or symptoms.

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药物不良反应的特征和分类。
药物相互作用对我们的健康和新药开发具有重要的意义。在之前的工作中,我们从日本药品说明书中提取药物相互作用数据,并生成药物相互作用网络。该网络包含大量相互紧密连接的药物,其中药物靶点和药物代谢酶在药物相互作用中是共享的。在本研究中,我们进一步分析了获得的药物相互作用网络,将药物合并到基于解剖治疗化学(ATC)分类的药物类别中。药物相互作用的合并数据表明与药物相互作用机制或症状相关的药物特性。我们调查了药物组与药物相互作用机制或症状之间的关系。
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