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混合双层中 OmpA 附近的疏水失配和脂质排序:原子和粗粒模拟。

Hydrophobic mismatch and lipid sorting near OmpA in mixed bilayers: atomistic and coarse-grained simulations.

机构信息

Department of Chemistry, Emory University, Atlanta, Georgia, USA.

出版信息

Biophys J. 2012 May 16;102(10):2279-87. doi: 10.1016/j.bpj.2012.04.005. Epub 2012 May 15.

Abstract

To understand the effects of lipid composition on membrane protein function in a mixture as complex as a biomembrane, one must know whether the lipid composition local to the protein differs from the mean lipid composition. In this study, we simulated the transmembrane domain of a β-barrel protein, OmpA, in mixtures of lipids of different tail lengths under conditions of negative hydrophobic mismatch, i.e., local bilayer thinning. We modeled the influence of OmpA on the local lipid composition both at a coarse-grained (CG) resolution using conventional molecular dynamics, and at an atomistic resolution within the semi-grand canonical ensemble using mutation moves to rapidly approach an equilibrium lateral distribution of lipids. Moderate enrichment of the shorter tail component (either DDPC in DDPC/DMPC mixtures or DMPC in DMPC/DSPC mixtures) extending 2-3 nm away from the protein surface was observed with both the atomistic and CG models. The similarity in trends suggests that the more computationally economical CG models capture the essential features of lipid sorting induced by hydrophobic mismatch.

摘要

为了了解脂质组成对生物膜中复杂混合物中膜蛋白功能的影响,必须知道蛋白质局部的脂质组成是否与平均脂质组成不同。在这项研究中,我们在负疏水失配(即局部双层变薄)条件下模拟了不同尾部长度脂质的混合物中β-桶蛋白 OmpA 的跨膜结构域。我们使用常规分子动力学在粗粒度 (CG) 分辨率和半正则系综内的原子分辨率下模拟了 OmpA 对局部脂质组成的影响,使用突变移动来快速达到脂质的平衡侧向分布。使用原子和 CG 模型都观察到在距蛋白质表面 2-3nm 处,较短尾部成分(DDPC/DMPC 混合物中的 DDPC 或 DMPC/DMPC 混合物中的 DMPC)的适度富集。两种趋势的相似性表明,更节省计算资源的 CG 模型可以捕捉由疏水失配引起的脂质排序的基本特征。

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