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Updated: Sep 18, 2025

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
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预测化学物质抗氧化潜力的QSAR模型

Sofia Ghironi1, Edoardo Luca Viganò1, Gianluca Selvestrel2

  • 1Laboratory of Environmental Toxicology and Chemistry, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy.

Journal of xenobiotics
|June 25, 2025
PubMed
概括

开发了定量结构-活性关系 (QSAR) 模型,以预测抗氧化剂潜力. 综合方法实现了最高的准确性,超过了单个机器学习模型的快速物质选.

关键词:
在 DPPH 的情况下,DPPH 是 DPPH.在QSAR中使用QSAR.抗氧化剂 抗氧化剂是一种抗氧化剂.食物 食物 食物 食物食品补充剂 食品补充剂在的中.机器学习是机器学习.

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