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Updated: May 29, 2025

Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid
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在脂质环境中基于机器学习的药物溶解性的预测:Sol_ME工具用于优化基于脂质的配方,采用初步的阿帕胺案例研究

Swayamprakash Patel1, Ami Kalasariya2, Jagruti Desai2

  • 1Department of Pharmaceutical Technology, Ramanbhai Patel College of Pharmacy, Charotar University of Science and Technology (CHARUSAT), CHARUSAT Campus, Changa, 388421, India. Swayamprakashpatel.ph@charusat.ac.in.

AAPS PharmSciTech
|February 3, 2025
PubMed
概括

一个新的机器学习模型,Sol_ME,预测药物在脂质中的溶解度,帮助配方. 它成功地优化了阿帕胺的输送,使囊大小减少了75%.

关键词:
在PubChem®指纹检查中.药物溶解度 药物溶解度 药物溶解度基于脂质的配方机器学习是机器学习.神经网络的神经网络的神经网络

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