6533b833fe1ef96bd129c3f0

RESEARCH PRODUCT

Predicting Skin Permeability by Means of Computational Approaches: Reliability and Caveats in Pharmaceutical Studies

Beatrice PecoraroVictoria HutterM.j. TraynorMarco TutoneEwelina HoffmanAnna Maria Almerico

subject

Molecular dynamicComputer scienceGeneral Chemical EngineeringSkin AbsorptionSkin permeabilityLibrary and Information SciencesPrinciple component regressionPartial least square01 natural sciencesModels BiologicalQuantitative structure-property relationship0103 physical sciencesDrug DiscoveryAnimalsHumansComputer SimulationSite of originSkinIn silico prediction010304 chemical physicsChemical toxicityGeneral ChemistrySettore CHIM/08 - Chimica Farmaceutica0104 chemical sciencesComputer Science ApplicationsMultilinear regression010404 medicinal & biomolecular chemistryPharmaceutical PreparationsDrug deliverySkin permeabilityBiochemical engineeringAlgorithms

description

The skin is the main barrier between the internal body environment and the external one. The characteristics of this barrier and its properties are able to modify and affect drug delivery and chemical toxicity parameters. Therefore, it is not surprising that permeability of many different compounds has been measured through several in vitro and in vivo techniques. Moreover, many different in silico approaches have been used to identify the correlation between the structure of the permeants and their permeability, to reproduce the skin behavior, and to predict the ability of specific chemicals to permeate this barrier. A significant number of issues, like interlaboratory variability, experimental conditions, data set building rationales, and skin site of origin and hydration, still prevent us from obtaining a definitive predictive skin permeability model. This review wants to show the main advances and the principal approaches in computational methods used to predict this property, to enlighten the main issues that have arisen, and to address the challenges to develop in future research.

10.1021/acs.jcim.8b00934http://hdl.handle.net/10447/368408