计算生物学与毒理学动力学
Computational Biology and Toxicodynamics.
作者信息
Knudsen Thomas B, Spencer Richard M, Pierro Jocylin D, Baker Nancy C
机构信息
Center for Computational Toxicology and Exposure (CCTE), Biomolecular and Computational Toxicology Division (BCTD), Computational Toxicology and Bioinformatics Branch (CTBB), Office of Research and Development (ORD), U.S. Environmental Protection Agency (USEPA), Research Triangle Park NC 27711.
General Dynamics, Contractor, Environmental Modeling and Visualization Laboratory (EMVL), US EPA/ORD, Research Triangle Park NC 27711.
出版信息
Curr Opin Toxicol. 2020 Dec 1;23-24(Oct-Dec 2020):119-126. doi: 10.1016/j.cotox.2020.11.001.
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 models is needed for the integrated analysis of various domains in toxicology to improve predictivity and reduce animal testing. This review focuses on 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.
新方法学（NAMs）是指任何可用于提供化学危害和风险评估信息且避免使用完整动物的非动物技术、方法、途径或其组合。毒理学各个领域的综合分析需要一系列模型，以提高预测能力并减少动物试验。本综述重点关注发育和生殖毒性（预测性发育和生殖毒性）的方法、计算机模型和计算智能，提供一种在模拟系统中测量毒代动力学以定量预测不良结局表型的手段。
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