Development of advanced model for understanding the behavior of drug solubility in green solvents: Machine learning modeling for small-molecule API solubility prediction-Reference-Cited by-同舟云学术

Development of advanced model for understanding the behavior of drug solubility in green solvents: Machine learning modeling for small-molecule API solubility prediction

Published:2023-09 Issue: Volume:386 Page:122446
ISSN:0167-7322
Container-title:Journal of Molecular Liquids
language:en
Short-container-title:Journal of Molecular Liquids

Author:

Ghazwani Mohammed,Yasmin Begum M.,Naglah Ahmed M.,Alkahtani Hamad M.,Almehizia Abdulrahman A.

Publisher

Elsevier BV

Subject

Materials Chemistry,Physical and Theoretical Chemistry,Spectroscopy,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference36 articles.

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4. Computational intelligence modeling of nanomedicine preparation using advanced processing: Solubility of fludrocortisone acetate in supercritical carbon dioxide;Hani;Case Stud. Therm. Eng.,2023

5. Development of green technology based on supercritical solvent for production of nanomedicine: Solubility prediction using computational methods;Huwaimel;J. Mol. Liq.,2023

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