Characterization and Classification of Adverse Drug Interactions


Masataka Takarabe [1](takarabe@kuicr.kyoto-u.ac.jp)
Daichi Shigemizu [1](daichi@kuicr.kyoto-u.ac.jp)
Masaaki Kotera [1](kot@kuicr.kyoto-u.ac.jp)
Susumu Goto [1](goto@kuicr.kyoto-u.ac.jp)
Minoru Kanehisa [1][2](kanehisa@kuicr.kyoto-u.ac.jp)

[1] Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan
[2] Human Genome Center, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639, Japan

Abstract

Drug interactions which may cause harmful events are important for our health and new drug 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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Japanese Society for Bioinformatics