Support vector regression to estimate the permeability enhancement of potential transdermal enhancers.

Journal: The Journal of pharmacy and pharmacology

PMID: 26751826

Abstract

OBJECTIVES: Searching for chemicals that will safely enhance transdermal drug delivery is a significant challenge. This study applies support vector regression (SVR) for the first time to estimating the optimal formulation design of transdermal hydrocortisone formulations.

Authors

Alpa Shah

Department of Software Engineering and IT, Ecole de Technologie Superieure, Montreal, QC, Canada.
Yi Sun

Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA.
Rod G Adams

School of Computer Science, University of Hertfordshire, Hatfield, UK.
Neil Davey

School of Computer Science, University of Hertfordshire, Hatfield, UK.
Simon C Wilkinson

School of Pharmacy, Keele University, Keele, UK.
Gary P Moss

Medical Toxicology Centre, Wolfson Unit, Medical School, University of Newcastle-upon-Tyne, Newcastle-upon-Tyne, UK.

Keywords

Adjuvants, Pharmaceutic Administration, Cutaneous Hydrocortisone Models, Biological Principal Component Analysis Regression Analysis Skin Skin Absorption Structure-Activity Relationship Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (26751826)

Support vector regression to estimate the permeability enhancement of potential transdermal enhancers.

Abstract

Authors

Keywords

External Resources

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