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采用具有热力学约束的逆蒙特卡罗方法的磷脂/胆固醇双层粗粒度模型。

Coarse-grained model for phospholipid/cholesterol bilayer employing inverse Monte Carlo with thermodynamic constraints.

作者信息

Murtola Teemu, Falck Emma, Karttunen Mikko, Vattulainen Ilpo

机构信息

Laboratory of Physics, Helsinki University of Technology, P.O. Box 1100, FI-02015 Espoo, Finland.

出版信息

J Chem Phys. 2007 Feb 21;126(7):075101. doi: 10.1063/1.2646614.

DOI:10.1063/1.2646614
PMID:17328634
Abstract

The authors introduce a coarse-grained (CG) model for a lipid membrane comprised of phospholipids and cholesterol at different molar concentrations, which allows them to study systems that are approximately 100 nm in linear size. The systems are studied in the fluid phase above the main transition temperature. The effective interactions for the CG model are extracted from atomic-scale molecular dynamics simulations using the inverse Monte Carlo (IMC) technique, an approach similar to the one the authors used earlier to construct another CG bilayer model [T. Murtola et al., J. Chem. Phys. 121, 9156 (2004)]. Here, the authors improve their original CG model by employing a more accurate description of the molecular structure for the phospholipid molecules. Further, they include a thermodynamic constraint in the IMC procedure to yield area compressibilities in line with experimental data. The more realistic description of the molecular structure of phospholipids and a more accurate representation of the interaction between cholesterols and phospholipid tails are shown to improve the behavior of the model significantly. In particular, the new model predicts the formation of denser transient regions in a pure phospholipid system, a finding that the authors have verified through large scale atomistic simulations. They also find that the model predicts the formation of cholesterol-rich and cholesterol-poor domains at intermediate cholesterol concentrations, in agreement with the original model and the experimental phase diagram. However, the domains observed here are much more distinct compared to the previous model. Finally, the authors also explore the limitations of the model, discussing its advantages and disadvantages.

摘要

作者介绍了一种针对由不同摩尔浓度的磷脂和胆固醇组成的脂质膜的粗粒度(CG)模型,这使他们能够研究线性尺寸约为100纳米的系统。这些系统在高于主要转变温度的流体相中进行研究。CG模型的有效相互作用是使用逆蒙特卡罗(IMC)技术从原子尺度分子动力学模拟中提取的,该方法类似于作者之前用于构建另一个CG双层模型的方法 [T. Murtola等人,《化学物理杂志》121, 9156 (2004)]。在这里,作者通过对磷脂分子的分子结构采用更精确的描述来改进他们原来的CG模型。此外,他们在IMC过程中纳入了一个热力学约束,以使面积压缩率与实验数据一致。磷脂分子结构的更真实描述以及胆固醇与磷脂尾部之间相互作用的更精确表示被证明能显著改善模型的行为。特别是,新模型预测在纯磷脂系统中会形成更密集的瞬态区域,作者已通过大规模原子模拟验证了这一发现。他们还发现,该模型预测在中等胆固醇浓度下会形成富含胆固醇和贫胆固醇的区域,这与原始模型和实验相图一致。然而,与之前的模型相比,这里观察到的区域要明显得多。最后,作者还探讨了该模型的局限性,讨论了其优缺点。

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