MacDermaid Christopher M, Kashyap Hemant K, DeVane Russell H, Shinoda Wataru, Klauda Jeffery B, Klein Michael L, Fiorin Giacomo
Institute for Computational Molecular Science, Temple University, 1925 North 12th Street, Philadelphia, Pennsylvania 19122-1801, USA.
Department of Chemistry, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
J Chem Phys. 2015 Dec 28;143(24):243144. doi: 10.1063/1.4937153.
The architecture of a biological membrane hinges upon the fundamental fact that its properties are determined by more than the sum of its individual components. Studies on model membranes have shown the need to characterize in molecular detail how properties such as thickness, fluidity, and macroscopic bending rigidity are regulated by the interactions between individual molecules in a non-trivial fashion. Simulation-based approaches are invaluable to this purpose but are typically limited to short sampling times and model systems that are often smaller than the required properties. To alleviate both limitations, the use of coarse-grained (CG) models is nowadays an established computational strategy. We here present a new CG force field for cholesterol, which was developed by using measured properties of small molecules, and can be used in combination with our previously developed force field for phospholipids. The new model performs with precision comparable to atomistic force fields in predicting the properties of cholesterol-rich phospholipid bilayers, including area per lipid, bilayer thickness, tail order parameter, increase in bending rigidity, and propensity to form liquid-ordered domains in ternary mixtures. We suggest the use of this model to quantify the impact of cholesterol on macroscopic properties and on microscopic phenomena involving localization and trafficking of lipids and proteins on cellular membranes.
生物膜的结构取决于一个基本事实,即其性质并非仅由各个组分的简单加和所决定。对模型膜的研究表明,有必要从分子层面详细描述诸如厚度、流动性和宏观弯曲刚度等性质是如何通过单个分子间的相互作用以一种复杂的方式进行调控的。基于模拟的方法对于实现这一目标非常重要,但通常局限于较短的采样时间以及往往小于所需规模的模型系统。为了克服这两个限制,如今使用粗粒度(CG)模型已成为一种既定的计算策略。我们在此展示一种针对胆固醇的新型CG力场,它是通过利用小分子的实测性质开发而成的,并且可与我们先前开发的磷脂力场结合使用。在预测富含胆固醇的磷脂双层的性质方面,新模型的表现精度可与原子力场相媲美,这些性质包括每个脂质的面积、双层厚度、尾部序参数、弯曲刚度的增加以及在三元混合物中形成液相有序域的倾向。我们建议使用该模型来量化胆固醇对宏观性质以及对涉及细胞膜上脂质和蛋白质定位与运输的微观现象的影响。