Department of Clinical and Pharmaceutical Sciences , University of Hertfordshire , AL10 9AB Hatfield , United Kingdom.
Department of Biological Chemical and Pharmaceutical Sciences and Technologies , University of Palermo , 90123 Palermo , Italy.
J Chem Inf Model. 2019 May 28;59(5):1759-1771. doi: 10.1021/acs.jcim.8b00934. Epub 2019 Feb 5.
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.
皮肤是人体内部环境与外部环境之间的主要屏障。该屏障的特性及其性质能够改变和影响药物输送和化学毒性参数。因此,通过多种体外和体内技术测量许多不同化合物的渗透性也就不足为奇了。此外,还使用了许多不同的计算方法来识别渗透物的结构与其渗透性之间的相关性,以重现皮肤的行为,并预测特定化学物质渗透该屏障的能力。许多问题,如实验室间变异性、实验条件、数据集构建原理以及皮肤起源和水合作用部位,仍然阻止我们获得确定的预测皮肤渗透性模型。本文综述旨在展示用于预测该特性的计算方法的主要进展和主要方法,阐明所出现的主要问题,并解决未来研究中需要解决的挑战。