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Updated: Sep 20, 2025

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使用Caco-2细胞生物可用性指标 (BA) 开发定量结构-性质关系 (QSPR) 模型,以预测植物化学品的BA

Kang-Woo Lee1, Dong-Ho Lee1, In-Su Na1

  • 1Department of Food Science and Biotechnology, Sejong University, Seoul, South Korea.

Journal of the science of food and agriculture
|May 30, 2025
PubMed
概括

这项研究使用机器学习和定量结构属性关系 (QSPR) 分析开发了植物化学物质生物可用性的预测模型. 该模型准确地预测了关键的生物可用性指标,有助于发现功能成分和药物.

关键词:
在Caco-2中.在QSPR模型中.生物可用性 生物可用性机器学习是机器学习.植物化学品 植物化学品

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