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

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

Volume: 7 Issue: 3

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

Affiliation:

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

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.

Cite this article as:

Liu Xin, Shi Zhe, Xue Ying, Rong Li Ze, Yong Yang Sheng, Quan Wei Yu and Zong Chen Yu, In Silico Prediction of Adverse Drug Reactions and Toxicities Based on Structural, Biological and Clinical Data, Current Drug Safety 2012; 7 (3) . https://dx.doi.org/10.2174/157488612803251351