Application of biomedical informatics in research of drug-drug interaction risks

VernacularTitle:生物信息技术在药物相互作用风险研究中的应用进展
Author: Lei WANG ¹ ; xing Wei FENG ; yuan Yuan ZHAO ; yan Li HUA ; ying Xue WANG ; jiao Duo CHEN ; Lang LI
Author Information

1. 哈尔滨工程大学自动化学院
Keywords: biomedical informatics; drug-drug interactions; adverse reactions; data mining
From: Chinese Journal of Pharmacology and Toxicology 2017;31(7):772-778
CountryChina
Language:Chinese
Abstract: Adverse drug reactions (ADRs) induced by drug-drug interactions have posed a serious threat to patients′health and caused immense economic losses. With the increase in the number of combined drugs, the occurrence rate of side effects has surged. Since traditional methods for discovering drug interactions are infficient and costly, the biomedical informatics based methods are able to acquire valuable information about ADR by analyzing and mining from biomedical big data at a low cost and with high throughput. Methods of discovering potential drug interactions through literature mining, data mining and physiologically based pharmacokinetic models are systematically reviewed in this paper. Also, the prospect of potential research fields of drug conbination is outlined.