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Updated: Jun 29, 2025

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在药理动力学中预测小分子药物半衰期的消除,使用集体和共识机器学习方法

Jianing Fan1,2, Shaohua Shi3, Hong Xiang4

  • 1Health Management Center, Third Xiangya Hospital of Central South University, Changsha, Hunan 410013, P. R. China.

Journal of chemical information and modeling
|April 2, 2024
PubMed
概括

预测药物半衰期对于药物开发至关重要. 这项研究使用机器学习开发了准确的定量结构-活性关系 (QSAR) 模型,共识模型显示了评估药物半衰期的最佳性能.

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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
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