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Validated models for predicting skin penetration from different vehicles

Ghafourian, Taravat, Samaras, Eleftherios G., Brooks, James D., Riviere, Jim E. (2010) Validated models for predicting skin penetration from different vehicles. European Journal of Pharmaceutical Sciences, 41 (5). pp. 612-616. ISSN 0928-0987. (doi:10.1016/j.ejps.2010.08.014) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1016/j.ejps.2010.08.014

Abstract

The permeability of a penetrant though skin is controlled by the properties of the penetrants and the mixture components, which in turn relates to the molecular structures. Despite the well-investigated models for compound permeation through skin, the effect of vehicles and mixture components has not received much attention. The aim of this Quantitative Structure Activity Relationship (QSAR) study was to develop a statistically validated model for the prediction of skin permeability coefficients of compounds dissolved in different vehicles. Furthermore, the model can help with the elucidation of the mechanisms involved in the permeation process. With this goal in mind, the skin permeability of four different penetrants each blended in 24 different solvent mixtures were determined from diffusion cell studies using porcine skin. The resulting 96 kp values were combined with a previous dataset of 288 kp data for QSAR analysis. Stepwise regression analysis was used for the selection of the most significant molecular descriptors and development of several regression models. The selected QSAR employed two penetrant descriptors of Wiener topological index and total lipole moment, boiling point of the solvent and the difference between the melting point of the penetrant and the melting point of the solvent. The QSAR was validated internally, using a leave-many-out procedure, giving a mean absolute error of 0.454 for the log. kp value of the test set. © 2010 Elsevier B.V.

Item Type: Article
DOI/Identification number: 10.1016/j.ejps.2010.08.014
Additional information: Unmapped bibliographic data: PY - 2010/// [EPrints field already has value set] AD - Medway School of Pharmacy, Universities of Kent and Greenwich, Central Avenue, Chatham Maritime, Kent ME4 4TB, United Kingdom [Field not mapped to EPrints] AD - Center for Chemical Toxicology Research and Pharmacokinetics, North Carolina State University, 4700 Hillsborough Street, Raleigh, United States [Field not mapped to EPrints] JA - Eur. J. Pharm. Sci. [Field not mapped to EPrints]
Uncontrolled keywords: Formulation, Mixture, Penetration, Permeation, QSAR, Skin, 4 nitrophenol, atrazine, caffeine, chlorpyrifos, codeine, drug vehicle, fenthion, nimodipine, nonylphenol, octanol, parathion, parathion methyl, pentachlorophenol, phenol derivative, propazine, simazine, solvent, testosterone, triazine, article, drug formulation, drug solubility, priority journal, quantitative structure activity relation, skin penetration, skin permeability, statistical model, swine, validation study, Administration, Cutaneous, Animals, Caffeine, Codeine, Complex Mixtures, Models, Chemical, Models, Statistical, Molecular Structure, Octanols, Permeability, Pharmaceutical Vehicles, Quantitative Structure-Activity Relationship, Skin, Skin Absorption, Swine, Testosterone
Subjects: Q Science > QD Chemistry
R Medicine > RM Therapeutics. Pharmacology
R Medicine > RS Pharmacy and materia medica
Divisions: Faculties > Sciences > Medway School of Pharmacy
Depositing User: Taravat Ghafourian
Date Deposited: 29 Dec 2013 18:41 UTC
Last Modified: 29 May 2019 08:58 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/29415 (The current URI for this page, for reference purposes)
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