Cysewski, P.; Jeliński, T.; Przybyłek, M.; Mai, A.; Kułak, J.
Experimental and Machine-Learning-Assisted Design of Pharmaceutically Acceptable Deep Eutectic Solvents for the Solubility Improvement of Non-Selective COX Inhibitors Ibuprofen and Ketoprofen. Molecules 2024, 29, 2296.
https://doi.org/10.3390/molecules29102296
AMA Style
Cysewski P, Jeliński T, Przybyłek M, Mai A, Kułak J.
Experimental and Machine-Learning-Assisted Design of Pharmaceutically Acceptable Deep Eutectic Solvents for the Solubility Improvement of Non-Selective COX Inhibitors Ibuprofen and Ketoprofen. Molecules. 2024; 29(10):2296.
https://doi.org/10.3390/molecules29102296
Chicago/Turabian Style
Cysewski, Piotr, Tomasz Jeliński, Maciej Przybyłek, Anna Mai, and Julia Kułak.
2024. "Experimental and Machine-Learning-Assisted Design of Pharmaceutically Acceptable Deep Eutectic Solvents for the Solubility Improvement of Non-Selective COX Inhibitors Ibuprofen and Ketoprofen" Molecules 29, no. 10: 2296.
https://doi.org/10.3390/molecules29102296
APA Style
Cysewski, P., Jeliński, T., Przybyłek, M., Mai, A., & Kułak, J.
(2024). Experimental and Machine-Learning-Assisted Design of Pharmaceutically Acceptable Deep Eutectic Solvents for the Solubility Improvement of Non-Selective COX Inhibitors Ibuprofen and Ketoprofen. Molecules, 29(10), 2296.
https://doi.org/10.3390/molecules29102296
