title: 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.
authors.affiliation: State Key Laboratory of Biotherapy, Sichuan University, Chengdu, PR China.
authors.forename: Xin
authors.initials: X
authors.lastname: Liu
authors.forename: Zhe
authors.initials: Z
authors.lastname: Shi
authors.forename: Ying
authors.initials: Y
authors.lastname: Xue
authors.forename: Ze
authors.initials: Z
authors.lastname: Rong Li
authors.forename: Sheng Yong
authors.initials: SY
authors.lastname: Yang
authors.forename: Yu Quan
authors.initials: YQ
authors.lastname: Wei
authors.forename: Yu Zong
authors.initials: YZ
authors.lastname: Chen
mesh_terms: D064420:Drug-Related Side Effects and Adverse Reactions; D006801:Humans; D021281:Quantitative Structure-Activity Relationship