Accession Number : AD1039209


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


Descriptive Note : Journal Article - Open Access


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


Personal Author(s) : Liu,Ruifeng ; AbdulHameed,Mohamed Diwan M ; Kumar,Kamal ; Yu,Xueping ; Wallqvist,Anders ; Reifman,Jaques


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1039209.pdf


Report Date : 08 Jun 2017


Pagination or Media Count : 18


Abstract : 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.


Descriptors :   drug combinations , application software , pharmacology , antiinfective agents , antibacterial agents , clinical trials , network architecture , enzyme inhibitors


Subject Categories : Pharmacology


Distribution Statement : APPROVED FOR PUBLIC RELEASE