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Updated: Sep 20, 2025

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
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基于定量结构活动关系的预测,对酸性化合物的急性暴露指南水平进行预测

JingJie Shi1, WeiHua Zheng1, XiongJun Yuan1

  • 1School of Safety Science and Engineering, Changzhou University, Changzhou, Jiangsu Province, China.

Environmental toxicology and chemistry
|May 27, 2025
PubMed
概括

本研究使用定量结构-活性关系 (QSAR) 建模预测危险化学品的急性暴露指导水平 (AEGL). 结合GBDT,XGBoost和ERT的投票回归模型在预测AEGL值方面取得了卓越的准确性.

关键词:
有关急性暴露的指导水平.模型预测模型预测定量结构活动关系的量化结构.

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