Université Côte d'Azur, CNRS, IPMC, Sophia-Antipolis, France.
Institut Jacques Monod, CNRS Université Paris-Diderot, Sorbonne Paris Cité, Paris, France.
Biophys J. 2018 Aug 7;115(3):436-444. doi: 10.1016/j.bpj.2018.06.025. Epub 2018 Jul 5.
The analysis of the structural organization of lipid bilayers is generally performed across the direction normal to the bilayer/water interface, whereas the surface properties of the bilayer at the interface with water are often neglected. Here, we present PackMem, a bioinformatic tool that performs a topographic analysis of the bilayer surface from various molecular dynamics simulations. PackMem unifies and rationalizes previous analyses based on a Cartesian grid. The grid allows identification of surface regions defined as lipid-packing defects where lipids are loosely packed, leading to cavities in which aliphatic carbons are exposed to the solvent, either deep inside or close to the membrane surface. Examples are provided to show that the abundance of lipid-packing defects varies according to the temperature and to the bilayer composition. Because lipid-packing defects control the adsorption of peripheral proteins with hydrophobic insertions, PackMem is instrumental for us to understand and quantify the adhesive properties of biological membranes as well as their response to mechanical perturbations such as membrane deformation.
通常,脂质双层的结构组织分析是在垂直于双层/水界面的方向上进行的,而双层与水的界面的表面性质往往被忽略。在这里,我们介绍了 PackMem,这是一种生物信息学工具,可从各种分子动力学模拟中对双层表面进行地形分析。PackMem 统一并合理化了以前基于笛卡尔网格的分析。该网格允许识别表面区域,这些区域被定义为脂质堆积缺陷,其中脂质松散堆积,导致脂肪碳暴露在溶剂中的空腔,这些空腔要么在膜内部深处,要么靠近膜表面。提供的示例表明,脂质堆积缺陷的丰度根据温度和双层组成而变化。由于脂质堆积缺陷控制具有疏水性插入的外周蛋白的吸附,因此对于我们理解和量化生物膜的粘附特性以及它们对膜变形等机械扰动的响应,PackMem 是非常有用的。