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RESEARCH PRODUCT
Biopartitioning micellar chromatoraphy to predict blood to lung, blood to liver, blood to fat and blood to skin partition coefficients of drugs
Rosa María Villanueva-camañasSalvador SagradoS. Torres-cartasYolanda Martín-bioscaM.j. Medina-hernándezsubject
Quantitative structure–activity relationshipBlood to skinQuantitative Structure-Activity RelationshipPredictive capabilityPartition coefficientsBiochemistryAnalytical ChemistryPharmacokineticsBlood to lungLinear regressionQUIMICA ANALITICAmedicineAnimalsHumansEnvironmental ChemistryPharmacokineticsTissue DistributionLungMicellesSpectroscopySkinLungChromatographyChemistryComputational BiologyChromatography liquidBiopartitioning micellar chromatographyRatsPartition coefficientmedicine.anatomical_structureAdipose TissueLiverPharmaceutical PreparationsMicellar liquid chromatographyLinear ModelsBlood to fatRabbitsChromatography LiquidBlood to liverdescription
[EN] Biopartitioning micellar chromatography (BMC), a mode of micellar liquid chromatography that uses micellar mobile phases of Brij35 in adequate experimental conditions, has demonstrated to be useful in mimicking the drug partitioning process into biological systems. In this paper, the usefulness of BMC for predicting the partition coefficients from blood to lung, blood to liver. blood to fat and blood to skin is demonstrated. PLS2 and multiple linear regression (MLR) models based on BMC retention data are proposed and compared with other ones reported in bibliography. The proposed models present better or similar descriptive and predictive capability. (C) 2008 Elsevier B.V. All rights reserved.
year | journal | country | edition | language |
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2009-01-01 |