Accession Number:

AD1039209

Title:

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

Personal Author(s):

Corporate Author:

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

Report Date:

2017-06-08

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.

Descriptive Note:

Journal Article - Open Access

Supplementary Note:

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 (http://creativecommons.org/licenses/by/4.0/), 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 http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Pages:

0018

Descriptors:

Identifiers:

Subject Categories:

Communities Of Interest:

Modernization Areas:

Distribution Statement:

Approved For Public Release;

File Size:

2.25MB

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