A universal methodology for reliable predicting the non-steroidal anti-inflammatory drug solubility in supercritical carbon dioxide

Understanding the drug solubility behavior is likely the first essential requirement for designing the supercritical technology for pharmaceutical processing. Therefore, this study utilizes different machine learning scenarios to simulate the solubility of twelve non-steroidal anti-inflammatory drug...

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Detalles Bibliográficos
Autores principales: Rezaei, Tahereh, Nazarpour, Vesal, Shahini, Nahal, Bahmani, Soufia, Shahkar, Amir, Abdihaji, Mohammadreza, Ahmadi, Sina, Shahdost, Farzad Tat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776948/
https://www.ncbi.nlm.nih.gov/pubmed/35058504
http://dx.doi.org/10.1038/s41598-022-04942-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776948/
https://www.ncbi.nlm.nih.gov/pubmed/35058504
http://dx.doi.org/10.1038/s41598-022-04942-4

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