Predicting drug solubility in organic solvents mixtures: A machine-learning approach supported by high-throughput experimentation-Reference-Cited by-同舟云学术

Predicting drug solubility in organic solvents mixtures: A machine-learning approach supported by high-throughput experimentation

Published:2024-07 Issue: Volume:660 Page:124233
ISSN:0378-5173
Container-title:International Journal of Pharmaceutics
language:en
Short-container-title:International Journal of Pharmaceutics

Author:

Cenci Francesca^ORCID,Diab Samir^ORCID,Ferrini Paola^ORCID,Harabajiu Catajina^ORCID,Barolo Massimiliano^ORCID,Bezzo Fabrizio^ORCID,Facco Pierantonio^ORCID

Publisher

Elsevier BV

Reference52 articles.

1. Mathematical representation of thermodynamic properties: Part 2. Derivation of the combined nearly ideal binary solvent (NIBS)/Redlich-Kister mathematical representation from a two-body and three-body interactional mixing model;Acree;Thermochim. Acta,1992

2. Thermodynamic properties of non-electrolyte solutions: Part 4. Estimation and mathematical representation of solute activity coefficients and solubilities in binary solvents using the NIBS and modified Wilson equations;Acree;Thermochim. Acta,1991

3. Solubilities of L-aspartic, DL-aspartic, DL-glutamic, p-hydroxybenzoic, o-anisic, p-anisic, and itaconic acids in water from T = 278 K to T = 345 K;Apelblat;J. Chem. Thermodyn.,1997

4. Solubilities of o-acetylsalicylic, 4-aminosalicylic, 3,5-dinitrosalicylic, and p-toluic acid, and magnesiumDL -aspartate in water from T = (278 to 348) K;Apelblat;J. Chem. Thermodyn.,1999

5. Machine learning with physicochemical relationships: solubility prediction in organic solvents and water;Boobier;Nat. Commun.,2020

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Solubility of nifedipine in twenty-one mono-solvents at various temperatures;Fluid Phase Equilibria;2025-11

2. Solubility Modeling for Key Organic Compounds Used in Adavosertib (Anticancer API) Manufacturing;ACS Omega;2025-06-25

3. Machine Learning Based Quantitative Structure–Dissolution Profile Relationship;Journal of Chemical Information and Modeling;2025-06-05

4. Application of high-precision solubility prediction models in the assisted design of drug-like compounds;Molecular Diversity;2025-05-27

5. Business Cases for Digital Twins in Biopharmaceutical Manufacturing—Market Overview, Stakeholders, Technologies in 2025 and Beyond;Processes;2025-05-13