双组分脂质混合物中的自发曲率变异软化现象

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL The Journal of Physical Chemistry B Pub Date : 2024-06-18 DOI:10.1021/acs.jpcb.3c08117
Amirali Hossein, Andrew H. Beaven, Kayla Sapp and Alexander J. Sodt*, 
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引用次数: 0

摘要

脂质双分子层的弯曲模量可量化其对曲率的机械阻力。人们通常从厚度的角度来理解它;例如,较厚的双分子层通常较硬。在这里,我们描述了刚性的另一个强大的分子决定因素--脂质和脂质构象的曲率敏感性分布差异。甘油磷脂的头基团中的两性离子胆碱和乙醇胺动态地探索物种间和物种内的相互作用,从而导致瞬时聚类。我们证明,这些聚类与负曲率强烈耦合,激发了起伏的膜模式并降低了表观弯曲模量。三个力场(马提尼 2、马提尼 3 和全原子 CHARMM C36)在不同程度上显示了这种效应,粗粒度的马提尼模型显示了最多的聚类,因此也显示了最多的软化。该理论是理解生物膜复杂组成的刚度以及力场参数化选择如何转化为机械刚度的指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Softening in Two-Component Lipid Mixtures by Spontaneous Curvature Variance

The bending modulus of a lipid bilayer quantifies its mechanical resistance to curvature. It is typically understood in terms of thickness; e.g., thicker bilayers are usually stiffer. Here, we describe an additional and powerful molecular determinant of stiffness─the variance in the distribution of curvature sensitivity of lipids and lipid conformations. Zwitterionic choline and ethanolamine headgroups of glycerophospholipids dynamically explore inter- and intraspecies interactions, leading to transient clustering. We demonstrate that these clusters couple strongly to negative curvature, exciting undulatory membrane modes and reducing the apparent bending modulus. Three force fields (Martini 2, Martini 3, and all-atom CHARMM C36) each show the effect to a different extent, with the coarse-grained Martini models showing the most clustering and thus the most softening. The theory is a guide to understanding the stiffness of biological membranes with their complex composition, as well as how choices of force field parameterization are translated into mechanical stiffness.

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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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