Understanding the coarse-grained free energy landscape of phospholipids and their phase separation

IF 3.2 3区 生物学 Q2 BIOPHYSICS Biophysical journal Pub Date : 2024-12-31 DOI:10.1016/j.bpj.2024.12.030
Patrick G. Sahrmann, Gregory A. Voth
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Abstract

The cell membrane exhibits lateral heterogeneity due to the preferential association among the large number of lipid species that constitute the membrane. In particular, the preferential association of cholesterol (CHOL) with saturated lipids into ordered domains has been an area of intense investigation. The large spatiotemporal scales that comprise spontaneous domain formation largely precludes computational investigation via conventional all-atom molecular dynamics. We demonstrate here that molecular coarse-grained (CG) models, obtained from the bottom-up, i.e., via statistical mechanical renormalization of atomistic models, are capable of spontaneous assembly and phase separation for two model raft-like systems, DLiPC/DPPC/CHOL and DOPC/DPPC/CHOL. The resulting bottom-up CG models exhibit spontaneous self-assembly and phase separation and recapitulate the structural correlations of the underlying atomistic models. The accuracy and fast dynamics of these CG models constitute an effective means of bypassing the limited spatiotemporal scales of atomistic simulations. As the first bottom-up CG models of lipid phase separation, the CG models in this work provide an informative analysis for further construction of bottom-up CG models transferable across a range of lipid compositions.
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了解磷脂的粗粒度自由能景观及其相分离
由于构成细胞膜的大量脂质物种之间的优先关联,细胞膜表现出横向异质性。特别是,胆固醇(CHOL)与饱和脂质进入有序结构域的优先关联一直是一个深入研究的领域。包含自发畴形成的大时空尺度在很大程度上排除了通过传统的全原子分子动力学进行计算研究。我们在这里证明了分子粗粒度(CG)模型,从自下而上,即通过原子模型的统计力学重整化,能够自发组装和相分离两个模型筏状系统,DLiPC/DPPC/CHOL和DOPC/DPPC/CHOL。由此产生的自下而上的CG模型表现出自发的自组装和相分离,并概括了底层原子模型的结构相关性。这些CG模型的准确性和快速动态构成了绕过原子模拟有限时空尺度的有效手段。作为脂相分离的第一个自下而上的CG模型,本工作中的CG模型为进一步构建可在一系列脂质组成中转移的自下而上CG模型提供了信息分析。
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来源期刊
Biophysical journal
Biophysical journal 生物-生物物理
CiteScore
6.10
自引率
5.90%
发文量
3090
审稿时长
2 months
期刊介绍: BJ publishes original articles, letters, and perspectives on important problems in modern biophysics. The papers should be written so as to be of interest to a broad community of biophysicists. BJ welcomes experimental studies that employ quantitative physical approaches for the study of biological systems, including or spanning scales from molecule to whole organism. Experimental studies of a purely descriptive or phenomenological nature, with no theoretical or mechanistic underpinning, are not appropriate for publication in BJ. Theoretical studies should offer new insights into the understanding ofexperimental results or suggest new experimentally testable hypotheses. Articles reporting significant methodological or technological advances, which have potential to open new areas of biophysical investigation, are also suitable for publication in BJ. Papers describing improvements in accuracy or speed of existing methods or extra detail within methods described previously are not suitable for BJ.
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