Deep Eutectic Solvents Enhancing Drug Solubility and Its Delivery

Journal of Medicinal Chemistry, Journal Year: 2024, Volume and Issue: 67(17), P. 14807 - 14819

Published: Aug. 26, 2024

Deep eutectic solvents (DES) are environmentally friendly with the potential to dissolve bioactive compounds without affecting their characteristics. DES has special qualities that can be customized meet unique characteristics of a biomolecule/active pharmaceutical ingredient (API) in accordance various therapeutic needs, providing reliable approach opening door for creation cutting-edge drug formulations by resolving solubility issues pharmaceutics. This study outlines newly developing approaches solve problem inefficient API extraction due poor solubility. These emerging strategies also have capacity alter chemical and physical stability API, which triggers drug's shelf life possible health benefits. It is anticipated highlighted methods processes will developed capitalize on improve delivery sector.

Language: Английский

---

Comments on “Artificial intelligence aided pharmaceutical engineering: Development of hybrid machine learning models for prediction of nanomedicine solubility in supercritical solvent”

Journal of Molecular Liquids, Journal Year: 2025, Volume and Issue: unknown, P. 126979 - 126979

Published: Jan. 1, 2025

Language: Английский

---

Computational intelligence investigations on evaluation of salicylic acid solubility in various solvents at different temperatures

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 28, 2025

This research shows the utilization of various tree-based machine learning algorithms with a specific focus on predicting Salicylic acid solubility values in 13 solvents. We employed four distinct models: cubist regression, gradient boosting (GB), extreme (XGB), and extra trees (ET) for correlation drug to pressure, temperature, solvent composition. The dataset was preprocessed using Standard Scaler standardize it, ensuring each feature has mean zero standard deviation one, followed by outlier detection Cook's distance. Hyperparameter optimization made Differential Evolution (DE) method improved performance models. Monte Carlo Cross-Valuation used evaluation Measures including R2 score, Root Mean Squared Error (RMSE), Absolute (MAE) helped measure their performance. With an value 0.996, Extra Trees model displayed remarkable accuracy consistency, so showing better than other study emphasizes resilience ensemble methods capturing intricate data patterns effectiveness regression tasks application pharmaceutical manufacturing.

Language: Английский

---

Prediction of the solubility of fluorinated gases in ionic liquids by machine learning with COSMO-RS-based descriptors

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 132413 - 132413

Published: March 1, 2025

Language: Английский

---

Hyaluronic acid-functionalized nanomedicines for CD44-receptors-mediated targeted cancer therapy: A review of selective targetability and biodistribution to tumor microenvironment

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 142486 - 142486

Published: March 1, 2025

Language: Английский

---

Quality by digital design to accelerate sustainable medicines development

International Journal of Pharmaceutics, Journal Year: 2025, Volume and Issue: unknown, P. 125625 - 125625

Published: April 1, 2025

Language: Английский

---

Advancing nanomedicine production via green method: Modeling and simulation of pharmaceutical solubility at different temperatures and pressures

Journal of Molecular Liquids, Journal Year: 2024, Volume and Issue: 411, P. 125806 - 125806

Published: Aug. 17, 2024

Language: Английский

---

Optimization of drug solubility inside the supercritical CO2 system via numerical simulation based on artificial intelligence approach

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 1, 2024

Language: Английский

---