Solubility prediction of drugs in methanol + water mixtures using minimum number of data points: Comparison of various models-Reference-Cited by-同舟云学术

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Solubility prediction of drugs in methanol + water mixtures using minimum number of data points: Comparison of various models

Published:2023-12-12 Issue: Volume: Page:1-14
ISSN:0031-9104
Container-title:Physics and Chemistry of Liquids
language:en
Short-container-title:Physics and Chemistry of Liquids

Author:

Jafari Parisa¹²,Rahimpour Elaheh¹³

Affiliation:

1. Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical sciences, Tabriz, Iran

2. Kimia Idea Pardaz Azarbayjan (KIPA) Science Based Company, Tabriz University of Medical Sciences, Tabriz, Iran

3. Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran

Publisher

Informa UK Limited

Subject

Materials Chemistry,Physical and Theoretical Chemistry,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

https://www.tandfonline.com/doi/pdf/10.1080/00319104.2023.2289180

Reference84 articles.

1. Solubilizing Excipients in Oral and Injectable Formulations

2. High throughput solubility measurement in drug discovery and development

3. Computational prediction of formulation strategies for beyond-rule-of-5 compounds

4. Solubility Prediction of Drugs in Binary Solvent Mixtures at Various Temperatures Using a Minimum Number of Experimental Data Points

5. Thermodynamic modeling of activity coefficient and prediction of solubility: Part 1 predictive models

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