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dc.contributor.authorJouyban, A
dc.contributor.authorFakhree, MA
dc.contributor.authorGhafourian, T
dc.contributor.authorSaei, AA
dc.contributor.authorAcree, WE
dc.date.accessioned2018-08-26T06:33:21Z
dc.date.available2018-08-26T06:33:21Z
dc.date.issued2008
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/43688
dc.description.abstractDeviations 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%.
dc.language.isoEnglish
dc.relation.ispartofDie Pharmazie
dc.subjectAlgorithms
dc.subjectChemistry, Pharmaceutical
dc.subjectComputer Simulation
dc.subjectData Interpretation, Statistical
dc.subjectEthanol
dc.subjectModels, Chemical
dc.subjectModels, Statistical
dc.subjectPharmaceutical Preparations
dc.subjectPolyethylene Glycols
dc.subjectSoftware
dc.subjectSolubility
dc.subjectSolvents
dc.subjectWater
dc.titleDeviations of drug solubility in water-cosolvent mixtures from the Jouyban-Acree model--effect of solute structure.
dc.typearticle
dc.citation.volume63
dc.citation.issue2
dc.citation.spage113
dc.citation.epage21
dc.citation.indexPubmed


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