AIMC Topic: Solubility

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A nanoparticulate drug-delivery system for glaucocalyxin A: formulation, characterization, increased in vitro, and vivo antitumor activity.

Drug delivery Feb 26, 2015
Glaucocalyxin A (GLA) is a phytochemical component with multiple pharmacological activities; however, glaucocalyxin A's wider use has been restricted by its poor solubility. In this study, GLA nanosuspensions were prepared with precipitation-combined...
Animals Diterpenes, Kaurane Drug Delivery Systems Nanoparticles Neoplasms Mice Suspensions Solubility Calorimetry, Differential Scanning
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Refining in silico simulation to study digestion parameters affecting the bioaccessibility of lipophilic nutrients and micronutrients.

Food & function Oct 23, 2014
Despite the considerable number of in vivo and in vitro studies on the digestive fate of lipophilic nutrients, micronutrients, and bioactives, the effects of the structure and composition of foods on the physicochemical mechanisms of luminal digestio...
Caprylates Solubility Vitamin A Hydrophobic and Hydrophilic Interactions Expert Systems Lipolysis Bile Acids and Salts Dietary Fats Gastric Juice Computational Biology Triolein Food Analysis Models, Biological Humans Viscosity Computer Simulation Triglycerides Animals Intestinal Absorption Chemical Phenomena Digestion
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Comparison of novel granulated pellet-containing tablets and traditional pellet-containing tablets by artificial neural networks.

Pharmaceutical development and technology Apr 24, 2014
Novel granulated pellets technique was adopted to prepare granulated pellet-containing tablets (GPCT). GPCT and traditional pellet-containing tablets (PCT) were prepared according to 29 formulations devised by the Design Expert 7.0, with doxycycline ...
Excipients Tablets Hardness Doxycycline Solubility Drug Compounding Particle Size Neural Networks, Computer Polymethacrylic Acids Models, Chemical Anti-Bacterial Agents
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Predicting the solubility of drugs in supercritical carbon dioxide using machine learning and atomic contribution.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V Jun 1, 2025
The pharmaceutical sector is aware of supercritical CO (SC-CO) as a possible replacement for problematic organic solvents. Using a novel artificial intelligence (AI) strategy to predict drug solubility using the SC-CO system mathematically has been d...
Machine Learning Solvents Chemistry, Pharmaceutical Chromatography, Supercritical Fluid Pharmaceutical Preparations Carbon Dioxide Solubility
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Prediction of the Appropriate Temperature and Pressure for Polymer Dissolution Using Machine Learning Models.

Molecular informatics Feb 1, 2025
The widespread use of polymer solutions in the chemical industry poses a significant challenge in determining optimal dissolution conditions. Traditionally, researchers have relied on experimental methods to estimate the processing parameters needed ...
Solvents Neural Networks, Computer Pressure Machine Learning Polymers Algorithms Temperature Solubility
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Solubility of dapsone in deep eutectic solvents: Experimental analysis, molecular insights and machine learning predictions.

Polimery w medycynie Jan 1, 2024
BACKGROUND: Dapsone (DAP) is an anti-inflammatory and antimicrobial active pharmaceutical ingredient used to treat, e.g., AIDS-related diseases. However, low solubility is a feature hampering its efficient use.
Thermodynamics Deep Eutectic Solvents Solubility Solvents Dapsone Machine Learning
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Combining machine learning and molecular simulations to predict the stability of amorphous drugs.

The Journal of chemical physics Jul 7, 2023
Amorphous drugs represent an intriguing option to bypass the low solubility of many crystalline formulations of pharmaceuticals. The physical stability of the amorphous phase with respect to the crystal is crucial to bring amorphous formulations into...
Drug Design Solubility Drug Stability Machine Learning Crystallization
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A general optimization protocol for molecular property prediction using a deep learning network.

Briefings in bioinformatics Jan 17, 2022
The key to generating the best deep learning model for predicting molecular property is to test and apply various optimization methods. While individual optimization methods from different past works outside the pharmaceutical domain each succeeded i...
Neural Networks, Computer Deep Learning Bayes Theorem Solubility
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Different molecular enumeration influences in deep learning: an example using aqueous solubility.

Briefings in bioinformatics May 20, 2021
Aqueous solubility is the key property driving many chemical and biological phenomena and impacts experimental and computational attempts to assess those phenomena. Accurate prediction of solubility is essential and challenging, even with modern comp...
Solubility Deep Learning Water Neural Networks, Computer Algorithms
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Improvement of solubility and dissolution of ebastine by fabricating phosphatidylcholine/ bile salt bilosomes.

Pakistan journal of pharmaceutical sciences Sep 1, 2020
Although ebastine (EBT) can impede histamine-induced skin allergic reaction and persuade long acting selective H1 receptor antagonistic effects but its poor water solubility circumscribed its clinical application. The main objective of this research ...
Phosphatidylcholines Biological Availability Butyrophenones Solubility Piperidines Drug Liberation Drug Compounding Bile Acids and Salts Liposomes Histamine H1 Antagonists Nanoparticles Administration, Oral
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