In silico methods to predict drug toxicity

被引:63
|
作者
Roncaglioni, Alessandra [1 ]
Toropov, Andrey A. [1 ]
Toropova, Alla P. [1 ]
Benfenati, Emilio [1 ]
机构
[1] IRCCS, Ist Ric Farmacol Mario Negri, I-20156 Milan, Italy
关键词
QSAR ANALYSIS; CHEMICALS; MODEL; CARCINOGENICITY; VALIDATION; IMPURITIES; PLATFORM;
D O I
10.1016/j.coph.2013.06.001
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
This review describes in silico methods to characterize the toxicity of pharmaceuticals, including tools which predict toxicity endpoints such as genotoxicity or organ-specific models, tools addressing ADME processes, and methods focusing on protein-ligand docking binding. These in silico tools are rapidly evolving. Nowadays, the interest has shifted from classical studies to support toxicity screening of candidates, toward the use of in silico methods to support the expert. These methods, previously considered useful only to provide a rough, initial estimation, currently have attracted interest as they can assist the expert in investigating toxic potential. They provide the expert with safety perspectives and insights within a weight-of-evidence strategy. This represents a shift of the general philosophy of in silico methodology, and it is likely to further evolve especially exploiting links with system biology.
引用
收藏
页码:802 / 806
页数:5
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