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Updated: May 13, 2025

10:09
Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
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结合In Vitro和In Silico工作流程,提供强大,透明和环境严格的生物活性模型
Nathaniel Charest1, Gabriel Sinclair1, Stephanie A Eytcheson1
1Office of Research and Development, Center for Computational Toxicology and Exposure, United States Environmental Protection Agency, 109 TW Alexander Dr., Research Triangle Park, North Carolina 27711, United States.
Journal of chemical information and modeling
|April 24, 2025
概括
这项研究引入了一种新的工作流程,结合了体外测试和模型的毒理学. 它定义了"目的上下文",以指导计算模型的开发,改进化学安全评估.
科学领域:
- 毒理学和计算化学
- 开发新方法方法 (NAMs) 的发展.
背景情况:
- 越来越需要有效和资源意识的化学安全评估.
- 传统毒理学测试方法的现有数据缺口和局限性.
研究的目的:
- 描述一种新方法方法 (NAMs) 工作流程,将体外生物试验和in silico计算模型整合起来.
- 引入明确的"目的上下文"的概念,用于in silico模型开发.
- 通过提高效率和准确性来加强化学品安全评估.
主要方法:
- 在体外高通量生物试验的整合,测量光探针从甲胺 (TTR) 的位移.
- 开发三种明确的"目的上下文"用于in silico模型开发.
- 基于衍生目的背景的定量结构-活动关系 (QSAR) 模型的创建.
主要成果:
- 建立了一个工作流程,将体外和体内毒理学方法结合起来.
- 定义的目的上下文,以指导机械解释,验证,和在模型的输出设计.
- 开发了一个强大的QSAR模型,改善了体外命中率和in silico学习潜力.
结论:
- 拟议的NAM工作流程和目的背景增强了毒理学中in silico模型的开发和应用.
- 这种方法为化学品安全评估提供了一个更加透明,机械和高效的策略.
- 综合工作流有望降低成本,并改善化学图书馆对生物活性测试的优先级.
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