对多元组件金属氧化物纳米材料的毒性评估采用结构-活性方法
G P Gakis1, I G Aviziotis1, C A Charitidis1
1Research Lab of Advanced, Composite, Nano-Materials and Nanotechnology, Materials Science and Engineering Department, School of Chemical Engineering, National Technical University of Athens, 9 Heroon Polytechneiou Street, Zografos, Athens 15780, Greece. charitidis@chemeng.ntua.gr.
Nanoscale
|October 4, 2023
概括
一个新的结构-活性关系 (SAR) 模型预测了多元组件纳米材料 (MCNMs) 的毒性. 这种计算方法有助于理解MCNM对人类和环境健康的安全性.
科学领域:
- 纳米材料的安全性
- 计算毒理学计算毒理学
- 结构-活动关系建模模型.
背景情况:
- 人类和环境对工程纳米材料 (ENM) 的暴露越来越多,需要进行强有力的安全评估.
- 传统的ENM体内和体外毒性测试是具有挑战性和耗时的.
- 现有的in silico方法,如SAR模型,对于单组件纳米材料来说已经得到很好的发展,但缺乏对多组件纳米材料 (MCNMs) 的关注.
研究的目的:
- 开发和提出一种新的结构-活性关系 (SAR) 方法来评估金属和金属氧化物MCNMs的毒性.
- 为弥补MCNM的计算毒性评估中的差距.
- 提供对MCNM毒性的机制性见解.
主要方法:
- 开发了一种SAR框架,使用了包括340个不同的MCNM的796个毒性测量的综合数据集.
- 包括人类细胞,哺乳动物细胞和细菌的毒性数据.
- 计算了表面载荷MCNM的特定描述符,并分析了模型衍生的机械见解.
主要成果:
- 开发的SAR模型准确地预测了MCNM在异质数据集和各种细胞类型中的毒性类别.
- 该方法成功地处理了MCNM数据固有的复杂性和多样性.
- 确定了与金属氧化物MCNMs相关的关键毒性途径和机制.
结论:
- 新的SAR方法为MCNM毒性评估提供了一种可靠的in silico方法.
- 该框架增强了对MCNM安全性的理解,特别是对金属和金属氧化物变体的理解.
- 这项工作有助于对MCNM对人类和环境健康的风险进行更全面的评估.
相关概念视频
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