title: Prediction of drug solubility in water-propylene glycol mixtures using Jouyban-Acree model.
abstract: A trained version of the Jouyban-Acree model was presented to predict drug solubility in water-propylene glycol mixtures at various temperatures. The model is able to predict the solubility in various solubility units and requires the experimental solubility of a solute in mono-solvent systems. The mean percentage deviation (MPD) of predicted solubilities was computed to show the accuracy of the predicted data and 24% was found as the average MPD for 27 data sets studied. The proposed model enables the researchers to predict solubiliy in water-propylene glycol mixtures at various temperatures and reduces the number of required experimental data from five to two points.
authors.affiliation: Faculty of Pharmacy and Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. ajouyban@hotmail.com
authors.forename: A
authors.initials: A
authors.lastname: Jouyban
mesh_terms: D000465:Algorithms; D055598:Chemical Phenomena; D002626:Chemistry, Pharmaceutical; D002627:Chemistry, Physical; D005544:Forecasting; D016014:Linear Models; D008956:Models, Chemical; D008959:Models, Neurological; D015233:Models, Statistical; D011409:Propylene Glycols / Q000737:chemistry*; D012997:Solvents; D014867:Water / Q000737:chemistry*
chemical_list: D011409:Propylene Glycols; D012997:Solvents; D014867:Water