Please use this identifier to cite or link to this item: https://doi.org/10.2174/157488612803251351
Title: In silico prediction of adverse drug reactions and toxicities based on structural, biological and clinical data
Authors: Liu, X.
Shi, Z.
Xue, Y.
Li, Z.R.
Yang, S.Y.
Wei, Y.Q.
Chen, Y.Z. 
Keywords: Adverse drug effects
Adverse drug reaction
Drug discovery
Drug testing
Pharmaceutical
Risk assessment
Side effect
Toxicity
Toxicology
Issue Date: 2012
Citation: Liu, X., Shi, Z., Xue, Y., Li, Z.R., Yang, S.Y., Wei, Y.Q., Chen, Y.Z. (2012). In silico prediction of adverse drug reactions and toxicities based on structural, biological and clinical data. Current Drug Safety 7 (3) : 225-237. ScholarBank@NUS Repository. https://doi.org/10.2174/157488612803251351
Abstract: 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. © 2012 Bentham Science Publishers.
Source Title: Current Drug Safety
URI: http://scholarbank.nus.edu.sg/handle/10635/106033
ISSN: 15748863
DOI: 10.2174/157488612803251351
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