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Updated: Jun 26, 2025

Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid
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Published on: September 20, 2017

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预测有机溶剂混合物中的药物溶解度:由高通量实验支持的机器学习方法

Francesca Cenci1, Samir Diab2, Paola Ferrini3

  • 1GSK, Park Road, Ware SG12 0DP, United Kingdom; CAPE-Lab - Computer-Aided Process Engineering Laboratory, Department of Industrial Engineering, University of Padova, via Marzolo 9, 35131 Padova, Italy.

International journal of pharmaceutics
|May 19, 2024
PubMed
概括

一个新的机器学习模型准确地预测混合有机溶剂中的药物溶解度. 这种方法使用分子描述符和部分最小平方回归来在复杂的制药应用中可靠地预测溶解度.

关键词:
结晶化过程中的结晶.药物可溶性预测药物可溶性预测高通量试验的实验.机器学习就是机器学习.有机溶剂的混合物 有机溶剂的混合物新药可溶性数据 新药可溶性数据

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