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Current Drug Safety


ISSN (Print): 1574-8863
ISSN (Online): 2212-3911

In Silico Prediction of Adverse Drug Reactions and Toxicities Based on Structural, Biological and Clinical Data

Author(s): Xin Liu, Zhe Shi, Ying Xue, Ze Rong Li, Sheng Yong Yang, Yu Quan Wei and Yu Zong Chen

Volume 7, Issue 3, 2012

Page: [225 - 237] Pages: 13

DOI: 10.2174/157488612803251351

Price: $65


Drug adverse effects (ADEs) and toxicities have been extensively studied from chemical structure, genetic, biological systems and clinical perspectives. The rapid accumulation of chemical, biological and clinical data are highly useful for characterizing and predicting ADEs, and have enabled increasing exploration of computational methods as low cost tools for predicting various ADEs and toxicities. This article reviews the strategies, current progresses, underlying difficulties and future prospects in using computational methods for predicting ADEs and toxicities.

Keywords: Adverse drug effects, adverse drug reaction, drug discovery, drug testing, pharmaceutical, side effect, toxicity, toxicology, risk assessment

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