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Updated: Jan 9, 2026

Preparation of Binary and Ternary Deep Eutectic Systems
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基于数据的分类可溶性空间在深层乳化溶剂:破译驱动力使用PCA和K-意味着集群的驱动力

Piotr Cysewski1, Maciej Przybyłek1, Tomasz Jeliński1

  • 1Department of Physical Chemistry, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Kurpińskiego 5, 85-950 Bydgoszcz, Poland.

Molecules (Basel, Switzerland)
|December 11, 2025
PubMed
概括

这项研究引入了一种数据驱动的框架,用于预测在深溶解剂 (DES) 中的药物溶解度,超越试错. 该方法将DES药物组合分为四种可溶性模式,用于合理的配方设计.

关键词:
在COSMO-RS的基础上,K-表示集群.数据驱动的设计是基于数据的.深层欧性溶剂 深层欧性溶剂制药配方 制药配方 制药配方主要组件分析的主要组件分析溶解度预测 溶解度预测

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