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Chinese Journal of Pharmacology and Toxicology ; (6): 772-778, 2017.
Artigo em Chinês | WPRIM | ID: wpr-667742

RESUMO

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.

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