Institute of Physical Chemistry , WWU Muenster , Corrensstr. 28/30 , 48149 Muenster , Germany.
Center for Multiscale Theory and Computation (CMTC) , WWU Muenster , 48149 Muenster , Germany.
J Chem Theory Comput. 2019 Nov 12;15(11):6393-6402. doi: 10.1021/acs.jctc.9b00390. Epub 2019 Oct 24.
Simulations of lipid bilayers at different levels of detail is of major interest in computational biophysics. With a recently proposed algorithm, by mapping the information from a Molecular Dynamics (MD) simulation of a lipid bilayer on a 2D lattice model, it is possible to gain insight into the enthalpic and entropic contributions, governing the interaction of adjacent lipids and the individual chain entropy, respectively. The contributions are obtained as a function of the lipid chain order parameter. Here we use this approach for the case of pure DPPC (1,2-dipalmitoyl--glycero-3-phosphocholine) to compare the all-atom CHARMM36 DPPC lipid with the respective MARTINI coarse-grained DPPC lipid. We individually compare the enthalpy and entropy functions as well as the resulting free energies. This allows us to gain new insight into the comparison of both levels of description. When numerically solving the 2D lattice model via Monte Carlo (MC) simulations, the 2D model displays the gel/liquid transition at the same temperature as the respective MD simulation. The dramatic increase in efficiency of the 2D lattice model as compared to the MD simulation allows us to estimate the equilibrium order parameters of the gel phase, inaccessible by the MD simulations even after 3 μs.
在计算生物物理学中,对不同细节水平的脂质双层进行模拟是非常重要的。最近提出的一种算法通过将脂质双层的分子动力学(MD)模拟信息映射到二维格点模型上,可以深入了解控制相邻脂质相互作用的焓和熵贡献,以及分别控制单个链熵的焓和熵贡献。这些贡献是作为脂质链序参数的函数获得的。在这里,我们使用这种方法来比较纯 DPPC(1,2-二棕榈酰基-sn-甘油-3-磷酸胆碱)的情况,将全原子 CHARMM36 DPPC 脂质与相应的 MARTINI 粗粒 DPPC 脂质进行比较。我们分别比较焓和熵函数以及由此产生的自由能。这使我们能够深入了解这两种描述水平的比较。通过蒙特卡罗(MC)模拟对二维格点模型进行数值求解时,二维模型在与相应 MD 模拟相同的温度下显示出凝胶/液体转变。与 MD 模拟相比,二维格点模型的效率显著提高,即使在 3 μs 后,MD 模拟也无法估计凝胶相的平衡序参数。