Computational biology and in silico toxicodynamics

Thomas B. Knudsen , Richard M. Spencer , Jocylin D. Pierro , Nancy C. Baker
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引用次数: 5

Abstract

New approach methodologies (NAMs) refer to any non-animal technology, methodology, approach, or combination thereof that can be used to provide information on chemical hazard and risk assessment that avoids the use of intact animals. A spectrum of in silico models is needed for the integrated analysis of various domains in toxicology to improve predictivity and reduce animal testing. This review focuses on in silico approaches, computer models, and computational intelligence for developmental and reproductive toxicity (predictive DART), providing a means to measure toxicodynamics in simulated systems for quantitative prediction of adverse outcomes phenotypes.

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计算生物学和计算机毒物动力学
新方法方法学(NAMs)是指任何非动物技术、方法学、方法或其组合,可用于提供有关化学品危害和风险评估的信息,从而避免使用完整的动物。在毒理学的各个领域的综合分析需要一个硅模型的频谱,以提高预测性和减少动物试验。这篇综述的重点是计算机方法,计算机模型和计算智能的发育和生殖毒性(预测DART),提供了一种在模拟系统中测量毒理学的方法,用于定量预测不良结果表型。
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来源期刊
Current opinion in toxicology
Current opinion in toxicology Toxicology, Biochemistry
CiteScore
8.50
自引率
0.00%
发文量
0
审稿时长
64 days
期刊最新文献
Adverse outcome pathway networks as the basis for the development of new approach methodologies: Liver toxicity as a case study New approach methodologies (NAMs) in drug safety assessment: A vision of the future Editorial: Transforming toxicology one cell at a time: A special issue on the application of scRNA-seq to the study of environmental response Editorial Board Practical lessons of the 3Rs: Learning from the past and looking toward the future
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