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Data-driven prediction of adverse drug reactions induced by drug-drug interactions

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Department of Defense Biotechnology High Performance Computing Software Applications Institute Fort Detrick United States

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The expanded use of multiple drugs has increased the occurrence of adverse drug reactions ADRs induced by drug-drug interactions DDIs. However, such reactions are typically not observed in clinical drug development studies because most of them focus on single-drug therapies. ADR reporting systems collect information on adverse health effects caused by both single drugs and DDIs. A major challenge is to unambiguously identify the effects caused by DDIs and to attribute them to specific drug interactions. A computational method that provides prospective predictions of potential DDI-induced ADRs will help to identify and mitigate these adverse health effects.

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Journal Article - Open Access

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BMC Pharmacology and Toxicology , 18, 44, 01 Jan 0001, 01 Jan 0001, Open Access. Publisher's Version. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver applies to the data made available in this article, unless otherwise stated.



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Approved For Public Release;

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