Predictive Tools and in Silico Approaches used in Solubility and Dissolution Studies (Pages 1-9)

Nastaran Hashemzadeh1,2 and Abolghasem Jouyban1,3

1Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran; 2Research Center for Pharmaceutical Nanotechnology, Tabriz University of Medical Sciences, Tabriz, Iran; 3Faculty of Pharmacy, Near East University, PO BOX: 99138 Nicosia, North Cyprus, Mersin 10, Turkey

https://doi.org/10.31437/2309-4435.2022.10.01

Abstract: Solubility and dissolution studies are notable areas of pharmaceutical science. Various in vitro conventional approaches are performed to investigate these factors. Before a new drug is released, it must undergo rigorous testing for FDA approval, where the preparation of solutions of the drug candidate is required to conduct the tests. Despite experimental determinations of solubility and dissolution tests, in silico techniques have become widespread in this area due to the various restrictions imposed by the drug discovery process. Herein, we aim to review the current in silico strategies in solubility and dissolution studies, and explore recent advances in this field.

Keywords: Solubility, Dissolution, In silico, Molecular dynamic, Machine learning, QSPR models.