
pmid: 18380397
Deviations of the predicted solubilities using the Jouyban-Acree model from experimental data were correlated to the structural descritptors of the drugs computed by HyperChem® software. The proposed models are able to predict the solubility in water-cosolvent mixtures and reduced the mean percentage deviations (MPD) of predicted solubilities from 24%, 48%, and 53% to 16%, 33% and 38%, respectively for water-propylene glycol, water-ethanol and water-polyethylene glycol 400 mixtures, with the overall improvement in prediction capability of the model being ∼13%.
Models, Statistical, Ethanol, Chemistry, Pharmaceutical, Water, Polyethylene Glycols, Models, Chemical, Pharmaceutical Preparations, Solubility, Data Interpretation, Statistical, Solvents, Computer Simulation, Algorithms, Software
Models, Statistical, Ethanol, Chemistry, Pharmaceutical, Water, Polyethylene Glycols, Models, Chemical, Pharmaceutical Preparations, Solubility, Data Interpretation, Statistical, Solvents, Computer Simulation, Algorithms, Software
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