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In silico prediction of adverse drug reactions and toxicities based on structural, biological and clinical data.

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.
AuthorsXin Liu, Zhe Shi, Ying Xue, Ze Rong Li, Sheng Yong Yang, Yu Quan Wei, Yu Zong Chen
JournalCurrent drug safety (Curr Drug Saf) Vol. 7 Issue 3 Pg. 225-37 (Jul 2012) ISSN: 2212-3911 [Electronic] United Arab Emirates
PMID22950377 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Review)
Topics
  • Drug-Related Side Effects and Adverse Reactions
  • Humans
  • Quantitative Structure-Activity Relationship

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