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Coarse-grained model for phospholipid/cholesterol bilayer

机译:磷脂/胆固醇双层的粗粒模型

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We construct a coarse-grained (CG) model for dipalmitoylphosphatidylcholine (DPPC)/cholesterol bilayers and apply it to large-scale simulation studies of lipid membranes. Our CG model is a two-dimensional representation of the membrane, where the individual lipid and sterol molecules are described by pointlike particles. The effective intermolecular interactions used in the model are systematically derived from detailed atomic-scale molecular dynamics simulations using the Inverse Monte Carlo technique, which guarantees that the radial distribution properties of the CG model are consistent with those given by the corresponding atomistic system. We find that the coarse-grained model for the DPPC/cholesterol bilayer is substantially more efficient than atomistic models, providing a speedup of approximately eight orders of magnitude. The results are in favor of formation of cholesterol-rich and cholesterol-poor domains at intermediate cholesterol concentrations, in agreement with the experimental phase diagram of the system. We also explore the limits of the coarse-grained model, and discuss the general validity and applicability of the present approach. (C) 2004 American Institute of Physics.
机译:我们构建二棕榈酰磷脂酰胆碱(DPPC)/胆固醇双层的粗粒(CG)模型,并将其应用于脂质膜的大规模模拟研究。我们的CG模型是膜的二维表示,其中单个脂质和固醇分子由点状颗粒描述。模型中使用的有效分子间相互作用是使用反向蒙特卡洛技术从详细的原子级分子动力学模拟系统地得出的,这保证了CG模型的径向分布特性与相应原子系统给出的径向分布特性一致。我们发现,DPPC /胆固醇双层的粗粒度模型比原子模型更有效,提供了大约八个数量级的加速。结果有利于在中等胆固醇浓度下形成富含胆固醇和缺乏胆固醇的结构域,与该系统的实验相图一致。我们还探讨了粗粒度模型的局限性,并讨论了该方法的一般有效性和适用性。 (C)2004年美国物理研究所。

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