不良结局途径
化学安全
风险评估
化学毒性
计算机科学
系统生物学
概念框架
机制(生物学)
风险分析(工程)
数据科学
计算生物学
生物
毒性
医学
计算机安全
认识论
内科学
哲学
作者
Jing Yuan,Guangshuai Qi,Meiyao Feng,Dianke Yu
标识
DOI:10.1016/j.taap.2022.116195
摘要
For decades, chemical safety assessment has been proposed to shift from animal testing to in vitro testing systems in response to the call for the 3R. In Europe, the answer was to combine various information sources in integrated testing strategies (ITS); In the US, it was in 2007 when the landmark report by the National Research Council put forward a vision of in vitro toxicity testing paradigm. Since then, efforts to develop pathway-based assessment framework have been on the track. In 2010, systems biology brought out a conceptual framework called adverse outcome pathway (AOP), which took one step further from toxicity pathway to regulatory toxicology. Computational modeling, high-throughput screening, high-content omics have all been approached to facilitate this progress. This paper briefly reviewed the achievement of pathway-based chemical assessment since 2007, discussed potential pitfalls and challenges that mechanism-driven chemical assessment may undergo, and presented future perspectives of safety assessment that is to be based on computational system biology.
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