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

Report Date:

2017-06-08

Pagination or Media Count:

18.0

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
• anti infective agents
• anti bacterial agents
• clinical trials
• network architecture
• enzyme inhibitors

Subject Categories:

• Pharmacology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE