论文标题
α-溶血素的当前矫正和离子选择性:粗粒分子动力学模拟
Current rectification and ionic selectivity of alpha-hemolysin: Coarse-Grained Molecular Dynamics simulations
论文作者
论文摘要
为了了解分子水平上纳米孔实验的物理过程,非常需要从分子动力学的微观信息。粗粒元模型是经典全原子模型的良好替代品,因为它们允许更长的模拟和较低电势的应用,更接近实验。我们通过$α$ hemolysin蛋白纳米孔进行了离子转运的粗粒分子动力学,并插入了被溶剂和离子包围的脂质双层中。为此,我们使用了Martini粗粒力场及其可极化的水溶剂(PW)。此外,通过将电场应用于系统,可以模仿实验上应用的电势差。在这项研究中,我们介绍了十二个不同的系统的1.5微秒长分子动力学模拟的结果,该系统对此进行了中和,在+/- 0.04 v/nm之间的九个不同的电场(总计约100个模拟)之间,它们中的每一个。我们能够观察该孔,当前的不对称和阴离子选择性的几个特定特征,与以前的研究和实验一致,并确定了负责这些当前行为的带电氨基酸,因此验证了我们通过纳米孔研究离子传输的粗粒剂方法。我们还提出了使用离子密度图对这些离子电流特征的微观解释。
In order to understand the physical processes of nanopore experiments at the molecular level, microscopic information from molecular dynamics is greatly needed. Coarse-grained models are a good alternative to classical all-atom models since they allow longer simulations and application of lower electric potentials, closer to the experimental ones. We performed coarse-grained molecular dynamics of the ionic transport through the $α$-hemolysin protein nanopore, inserted into a lipid bilayer surrounded by solvent and ions. For this purpose, we used the MARTINI coarse-grained force field and its polarizable water solvent (PW). Moreover, the electric potential difference applied experimentally was mimicked by the application of an electric field to the system. We present, in this study, the results of 1.5 microsecond long-molecular dynamics simulations of twelve different systems for which different charged amino acids were neutralized, each of them in the presence of nine different electric fields ranging between +/- 0.04 V/nm (a total of around 100 simulations). We were able to observe several specific features of this pore, current asymmetry and anion selectivity, in agreement with previous studies and experiments, and identified the charged amino acids responsible for these current behaviors, therefore validating our coarse-grain approach to study ionic transport through nanopores. We also propose a microscopic explanation of these ionic current features using ionic density maps.