2025年FAIR AOP路线图:推进不利结果途径的可查,可访问性,互操作性和可重复使用性
Holly M Mortensen1, Maciej Gromelski2, Ginnie Hench3
1Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC, USA.
Computational toxicology (Amsterdam, Netherlands)
|September 15, 2025
概括
不良结果途径 (AOP) 正在使用FAIR数据原则进行标准化,以提高对化学压力因素的理解,并支持新方法方法 (NAM). 这项工作提高了数据的可靠性和在下一代风险评估中的应用,减少了动物试验.
科学领域:
- 毒理学和生态毒理学
- 生物信息学和计算生物学
- 监管科学 监管科学
背景情况:
- 负面结果途径 (AOPs) 阐明了压力因素和生物反应之间的机制相互作用.
- 编目AOP数据对于理解机械效应和推进新方法方法 (NAM) 至关重要.
- 目前的安全评估在很大程度上依赖于动物试验,需要开发替代方法.
研究的目的:
- 描述目前在 FAIRifying AOP 机械数据和元数据方面的努力.
- 突出国际合作倡议,以提高AOP信息的重复使用和可靠性.
- 概述在AOP-Wiki存储库中处理和存储标准化的AOP数据的指令.
主要方法:
- 实施用于处理AOP数据和元数据的技术工具.
- 建立协调的计算生物信息学方法.
- 将AOP数据与FAIR元数据标准 (可查找,可访问,可互操作,可重复使用) 保持一致.
主要成果:
- 在 FAIRIFying AOP 机械数据和元数据方面的进展.
- 为AOP数据管理开展国际合作努力.
- 为标准化AOP数据处理和存储制定指令.
结论:
- 标准化的AOP数据与FAIR原则保持一致,提高了对机械毒理学的理解.
- 协作努力和AOP-Wiki仓库提高了AOP信息的可靠性和可重复使用性.
- 这些进展支持在下一代风险评估中应用AOP,并减少对动物试验的依赖.
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