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Pharmazie ; 63(2): 113-21, 2008 Feb.
Article in English | MEDLINE | ID: mdl-18380397

ABSTRACT

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 approximately 13%.


Subject(s)
Chemistry, Pharmaceutical/statistics & numerical data , Pharmaceutical Preparations/chemistry , Algorithms , Computer Simulation , Data Interpretation, Statistical , Ethanol , Models, Chemical , Models, Statistical , Polyethylene Glycols , Software , Solubility , Solvents , Water
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