Rocco Paolo, Cilurzo Francesco, Minghetti Paola, Vistoli Giulio, Pedretti Alessandro
Department of Pharmaceutical Sciences, Università degli Studi di Milano, via G. Colombo, 71, I-20133 Milan, Italy.
Department of Pharmaceutical Sciences, Università degli Studi di Milano, via G. Colombo, 71, I-20133 Milan, Italy.
Eur J Pharm Sci. 2017 Aug 30;106:328-335. doi: 10.1016/j.ejps.2017.06.020. Epub 2017 Jun 13.
Prediction of skin permeability can have manifold applications ranging from drug delivery to toxicity prediction. Along with the semi-empirical or mechanistic models proposed in the last decades, Molecular Dynamics simulations have recently become a fruitful tool for investigating membrane permeability, in particular as they allow the involved mechanisms to be modelled at a molecular level. Despite their significant structural complexity, Molecular Dynamics simulations can also be utilized to study permeation through the lipid matrix that characterizes the stratum corneum. In this work, Steered Molecular Dynamics simulations are performed on a suitably developed stratum corneum lipid matrix model. Regardless of their actual tortuous path within the stratum corneum, the permeants, taken from a Fully Validated dataset of 80 compounds of known permeability coefficient, are moved through the bilayer along its normal. This allows the exploration of all the possible conformational and physicochemical constraints the molecule experiences when moving through the bilayer. The so performed Steered Molecular Dynamics simulations are then utilized to extract the corresponding lipophilicity and diffusion parameters as computed by subdividing the entire path in 18 regions of different polarity and composition. Correlative analyses showed that the water-lipids interface is the best performing region and that significant enhancements can be gained by including parameters accounting for the temperature effect. Taken together, the developed models possess an enhanced predictive power compared to the existing equations and statistics are approaching the best possible results, given the uncertainty in the utilized permeability data.
皮肤渗透性预测具有多种应用,范围从药物递送毒性预测。随着过去几十年提出的半经验或机理模型,分子动力学模拟最近已成为研究膜渗透性的有效工具,特别是因为它们允许在分子水平上对相关机制进行建模。尽管角质层具有显著的结构复杂性,但分子动力学模拟也可用于研究通过表征角质层的脂质基质的渗透过程。在这项工作中,对一个适当开发的角质层脂质基质模型进行了引导分子动力学模拟。无论渗透物在角质层内的实际曲折路径如何,从一个包含80种已知渗透系数化合物的完全验证数据集中选取的渗透物,都沿着双层膜的法线方向移动通过双层膜。这使得能够探索分子在通过双层膜时所经历的所有可能的构象和物理化学限制。然后,利用如此进行的引导分子动力学模拟,通过将整个路径细分为18个不同极性和组成的区域,来提取相应的亲脂性和扩散参数。相关分析表明,水-脂质界面是性能最佳的区域,并且通过纳入考虑温度效应的参数可以获得显著的增强。综上所述,与现有方程相比,所开发的模型具有更强的预测能力,并且鉴于所使用的渗透数据存在不确定性,统计结果正在接近最佳可能结果。