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dc.contributor.authorKilian, D.
dc.contributor.authorLemmer, H.J.R.
dc.contributor.authorGerber, M.
dc.contributor.authorDu Preez, J.L.
dc.contributor.authorDu Plessis, J.
dc.date.accessioned2016-03-30T12:44:12Z
dc.date.available2016-03-30T12:44:12Z
dc.date.issued2016
dc.identifier.citationKilian, D. et al. 2016. Exploratory data analysis of the dependencies between skin permeability, molecular weight and log P. Die Pharmazie, 71(6):311-319. [https://doi.org/10.1691/ph.2015.5170]en_US
dc.identifier.issn0031-7144
dc.identifier.urihttp://hdl.handle.net/10394/16742
dc.identifier.urihttp://www.ingentaconnect.com/contentone/govi/pharmaz/2016/00000071/00000006/art00003
dc.identifier.urihttps://doi.org/10.1691/ph.2015.5170
dc.description.abstractMolecular weight and log P remain the most frequently used physicochemical properties in models that predict skin permeability. However, several reports over the past two decades have suggested that predictions made by these models may not be sufficiently accurate. In this study, exploratory data analysis of the probabilistic dependencies between molecular weight, log P and log Kp was performed on a dataset constructed from the combination of several popular datasets. The results suggest that, in general, molecular weight and log P are poorly correlated to log Kp. However, after employing several exploratory data analysis techniques, regions within the dataset of statistically significant dependence were identified. As an example of the applicability of the information extracted from the exploratory data analyses, a multiple linear regression model was constructed, bounded by the ranges of dependence. This model gave reasonable approximations to log Kp values obtained from skin permeability studies of selected non-steroidal ant-inflammatory drugs (NSAIDs) administered from a buffer solution and a lipid-based drug delivery system. A method of testing whether a given drug falls within the regions of statistical dependence was also presented. Knowing the ranges within which molecular weight and log P are statistically related to log Kp can supplement existing methods of screening, risk analysis or early drug development decision making to add confidence to predictions made regarding skin permeabilityen_US
dc.description.sponsorshipNational Research Foundation of South Africa (NRF) (Grants no. IFRR81178 and CPRR13091742482) and The Centre of Excellence for Pharmaceutical Sciences (Pharmacen) of the North-West University, Potchefstroom Campus, South Africaen_US
dc.language.isoenen_US
dc.publisherGovi-Verlagen_US
dc.subjectTransdermal drug deliveryen_US
dc.subjectExploratory data analysisen_US
dc.subjectMultivariate analysisen_US
dc.subjectPhysicochemical propertiesen_US
dc.subjectPheroid™en_US
dc.titleExploratory data analysis of the dependencies between skin permeability, molecular weight and log Pen_US
dc.typeArticleen_US
dc.contributor.researchID11329025 - Gerber, Minja
dc.contributor.researchID10060510 - Du Preez, Jan Lourens
dc.contributor.researchID10065318 - Du Plessis, Jeanetta
dc.contributor.researchID11985070 - Kilian, Dewald
dc.contributor.researchID12932574 - Lemmer, Hendrik Jacobus Righard


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