Predicting Glass-Forming Ability of Pharmaceutical Compounds by Using Machine Learning Technologies-Reference-Cited by-同舟云学术

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Predicting Glass-Forming Ability of Pharmaceutical Compounds by Using Machine Learning Technologies

Published:2023-04-18 Issue:5 Volume:24 Page:
ISSN:1530-9932
Container-title:AAPS PharmSciTech
language:en
Short-container-title:AAPS PharmSciTech

Author:

Jiang Junhuang,Ouyang Defang,Williams Robert O.

Publisher

Springer Science and Business Media LLC

Subject

Drug Discovery,Pharmaceutical Science,Agronomy and Crop Science,Ecology,Aquatic Science,General Medicine,Ecology, Evolution, Behavior and Systematics

Link

https://link.springer.com/content/pdf/10.1208/s12249-023-02535-6.pdf

Reference51 articles.

1. Savjani KT, Gajjar AK, Savjani JK. Drug solubility: importance and enhancement techniques. 1957;2012. https://doi.org/10.5402/2012/195727.

2. Jermain S v., Brough C, Williams RO. Amorphous solid dispersions and nanocrystal technologies for poorly water-soluble drug delivery – an update. Int J Pharm. 2018;535(1–2):379–392. https://doi.org/10.1016/J.IJPHARM.2017.10.051.

3. Adachi M, Hinatsu Y, Kusamori K, et al. Improved dissolution and absorption of ketoconazole in the presence of organic acids as pH-modifiers. Eur J Pharm Sci. 2015;76:225–30. https://doi.org/10.1016/J.EJPS.2015.05.015.

4. Balakrishnan A, Rege BD, Amidon GL, Polli JE. Surfactant-mediated dissolution: contributions of solubility enhancement and relatively low micelle diffusivity. J Pharm Sci. 2004;93(8):2064–75. https://doi.org/10.1002/JPS.20118.

5. Jain NK, Gupta U. Application of dendrimer–drug complexation in the enhancement of drug solubility and bioavailability. 2008;4(8):1035–1052. 101517/17425255481035.

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