Data-driven prediction of adverse drug reactions induced by drug-drug interactions
Journal Article - Open Access
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.