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Updated: May 9, 2025

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预测硫甲醇的水解途径和动力学:基于机器学习的分子动力学和实验研究

Tong Xu1, Yuanning He1, Yueli Lan1

  • 1Pollution Prevention Biotechnology Laboratory of Hebei Province, School of Environmental Science and Technology, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, China.

Journal of hazardous materials
|May 1, 2025
PubMed
概括

机器学习准确地预测了硫胺抗生素的水解,揭示了水分子加速污染物分解. 这加快了对关键受控污染物的环境持久性评估.

关键词:
水解机制的水解机制.水解路径的水解路径.基于机器学习的分子动力学.硫甲佐 (sulfamethoxazole) 是一种硫甲佐 (sulfamethoxazole) 的一种化合物.

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