相关实验视频
重新审视遗传毒理学中检测DNA损伤的方法:见解和监管影响
1Department of Pharmacology and Toxicology, College of Pharmacy, Qassim University, Qassim, 51452, Saudi Arabia. sm.alnasser@qu.edu.sa.
BioData mining
|May 6, 2025
概括
高通量技术和计算模型正在彻底改变基因毒性测试. 这些先进的方法为化学和药物安全评估的传统方法提供了高效,成本效益和伦理的替代方案.
科学领域:
- 毒理学 毒理学 毒理学
- 计算生物学 计算生物学
- 遗传学 遗传学是一种遗传学.
背景情况:
- 遗传毒理学对于评估对人类健康和环境的化学和药物风险至关重要.
- 传统的体外和体外基因毒性测试方法正在被技术进步所改变.
研究的目的:
- 审查基因毒性评估从传统方法到计算模型的演变.
- 突出高通量查,AI和ML在现代毒理学中的作用.
主要方法:
- 利用高通量查 (HTS) 技术,包括自动化体外测试.
- 利用计算模型,人工智能 (AI) 和机器学习 (ML) 来进行基因毒性评估.
- 分析HTS数据与AI/ML的集成,以提高预测能力.
主要成果:
- 基于AI/ML的计算方法越来越多地取代了传统的基因毒性测试方法.
- 这些先进的方法可以快速评估成千上万种化合物,并识别基因毒性特征.
- 经过验证的计算模型正在获得监管机构的接受,作为动物试验的人道替代品.
结论:
- 整合HTS,AI和ML代表了基因毒性测试的重大进步.
- 标准化工作和全球数据共享对于有毒性评估的可比性和共识至关重要.
- 创新承诺更精确,个性化和有影响力的安全评估和监管框架.
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