• Publications
  • Influence
Quantitative structure-permeability relationships for percutaneous absorption: re-analysis of steroid data.
  • G. Moss, M. Cronin
  • Medicine, Chemistry
  • International journal of pharmaceutics
  • 15 May 2002
Certain molecules, in particular steroids, have been observed to be outliers to quantitative structure-permeability relationships (QSPRs) for skin permeability (k(p)). Recently, however, many of theExpand
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Quantitative structure-permeability relationships (QSPRs) for percutaneous absorption.
Quantitative structure-permeability relationships (QSPRs) have been derived by many researchers to model the passive, diffusion-controlled, percutaneous penetration of exogenous chemicals. Most ofExpand
  • 232
  • 6
Investigation of the mechanism of flux across human skin in vitro by quantitative structure-permeability relationships.
Permeability coefficients for 114 compounds across excised human skin in vitro were taken from Kirchner et al. Forty-seven descriptors were calculated encompassing the relevant physicochemicalExpand
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Design, synthesis and characterization of captopril prodrugs for enhanced percutaneous absorption
Most drugs are designed primarily for oral administration, but the activity and stability profiles desirable for this route often make them unsuitable for transdermal delivery. We were thereforeExpand
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The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes
  • G. Moss, Y. Sun, +5 authors M. B. Brown
  • Materials Science, Medicine
  • The Journal of pharmacy and pharmacology
  • 1 November 2011
Objectives  Predicting the rate of percutaneous absorption of a drug is an important issue with the increasing use of the skin as a means of moderating and controlling drug delivery. One key featureExpand
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The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancers.
  • G. Moss, A. J. Shah, +4 authors Y. Sun
  • Computer Science, Medicine
  • European journal of pharmaceutical sciences…
  • 23 January 2012
TLDR
In this study several Machine Learning methods, including the K-nearest-neighbour (KNN) regression, single layer networks, radial basis function networks and the SVM classifier were applied to an enhancer dataset reported previously. Expand
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An investigation into solvent‐membrane interactions when assessing drug release from organic vehicles using regenerated cellulose membranes
The influence of organic solvents on artificial membranes when assessing drug release from topical formulations is, generally, poorly characterised yet current guidelines require no characterisationExpand
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An Investigation of the Mechanism of Flux Across Polydimethylsiloxane Membranes by use of Quantitative Structure‐Permeability Relationships
Quantitative structure‐permeability relationships (QSPRs) based on readily calculated parameters have been developed to study penetration across a polydimethylsiloxane membrane.
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In vitro transdermal delivery of caffeine, theobromine, theophylline and catechin from extract of Guarana, Paullinia Cupana.
Extracts of guarana (Paullinia cupana) feature as putatively stimulating ingredients in a number of foods, drinks and dietary/herbal supplements. The objective of this work was to investigate inExpand
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Discriminant analysis as a tool to identify compounds with potential as transdermal enhancers
Structure‐activity relationships were sought for 73 enhancers of hydrocortisone permeation from propylene glycol across hairless mouse skin. Enhancers had chain lengths (CC) from 0 to 16 carbonExpand
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