Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, 31/4 Leninskiy Prospekt, 119071 Moscow, Russia.
Biomolecules. 2023 Nov 30;13(12):1731. doi: 10.3390/biom13121731.
Thickness of lipid bilayer membranes is a key physical parameter determining membrane permeability and stability with respect to formation of through pores. Most membrane inclusions or impurities like amphipathic peptides, transmembrane peptides, lipid inclusions of a different molecular shape, lipid domains, and protein-lipid domains, locally deform the membrane. The detailed structure of the locally deformed region of the membrane is a kind of "fingerprint" for the inclusion type. However, most experimental methods allow determining only averaged parameters of membranes with incorporated inclusions, thus preventing the direct obtaining of the characteristics of the inclusion. Here we developed a model that allows the obtaining of characteristic parameters of three types of membrane inclusions (amphipathic peptides, transmembrane peptides, monolayer lipid patches) from experimentally observable dependencies of the average thickness of lipid bilayer on the surface concentration of the inclusions. In the case of amphipathic peptides, the model provided the peptide parameters that were in qualitative agreement with the available experimental data.
脂质双层膜的厚度是决定膜透过性和稳定性的关键物理参数,其与形成贯穿孔有关。大多数膜包含物或杂质,如两亲性肽、跨膜肽、不同分子形状的脂质包含物、脂质域和蛋白-脂质域,都会使膜局部变形。膜局部变形区域的详细结构是包含物类型的一种“指纹”。然而,大多数实验方法只能确定包含物的膜的平均参数,从而阻止了对包含物特性的直接获取。在这里,我们开发了一种模型,该模型可以从可观察到的脂质双层的平均厚度与包含物的表面浓度之间的关系中,获得三种类型的膜包含物(两亲性肽、跨膜肽、单层脂质斑)的特征参数。在两亲性肽的情况下,该模型提供的肽参数与现有实验数据定性一致。