二维分析:用于分析二维空间中的脂质膜和生物聚合物的工具箱。

Ricardo X Ramirez, Antonio M Bosch, Rubén Pérez, Horacio V Guzman, Viviana Monje
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摘要

分子模拟扩展了我们了解生物分子相互作用的能力。生物膜由具有不同物理化学性质的多种脂质组成,是参与细胞功能的高度动态环境。蛋白质、核酸、聚糖和生物相容性聚合物是细胞质溶胶和脂质膜界面上细胞过程的机器。脂质直接调节膜的性质,并影响其他生物分子的相互作用和功能。自然分子扩散导致局部脂质分布的改变,影响膜的性质。将生物物理和结构膜和生物聚合物的性质投射到二维平面上,有助于在降维空间中量化分子特征,以确定感兴趣的界面(即膜表面或生物聚合物-表面界面)上的相关相互作用。在这里,我们提出了一个工具箱,旨在将膜和生物聚合物的性质投射到二维平面上,以表征脂质-脂质和脂质-生物聚合物界面之间的相互作用模式和空间相关性。该工具箱包含两个使用MDAKits架构实现的集线器,一个用于膜,一个用于生物聚合物,它们可以单独使用,也可以一起使用。三个案例研究演示了该工具箱的多功能性,并在GitHub中提供了详细的教程。工具箱和教程将定期更新其他功能和分辨率,以扩大我们对二维生物分子结构-功能关系的理解。
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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2Danalysis: A toolbox for analysis of lipid membranes and biopolymers in two-dimensional space.

Molecular simulations expand our ability to learn about the interplay of biomolecules. Biological membranes, composed of diverse lipids with varying physicochemical properties, are highly dynamic environments involved in cellular functions. Proteins, nucleic acids, glycans and bio-compatible polymers are the machinery of cellular processes both in the cytosol and at the lipid membrane interface. Lipid species directly modulate membrane properties, and affect the interaction and function of other biomolecules. Natural molecular diffusion results in changes of local lipid distribution, affecting the membrane properties. Projecting biophysical and structural membrane and biopolymer properties to a two-dimensional plane can be beneficial to quantify molecular signatures in a reduced dimensional space to identify relevant interactions at the interface of interest, i.e. the membrane surface or biopolymer-surface interface. Here, we present a toolbox designed to project membrane and biopolymer properties to a two-dimensional plane to characterize patterns of interaction and spatial correlations between lipid-lipid and lipid-biopolymer interfaces. The toolbox contains two hubs implemented using MDAKits architecture, one for membranes and one for biopolymers, that can be used independently or together. Three case studies demonstrate the versatility of the toolbox with detailed tutorials in GitHub. The toolbox and tutorials will be periodically updated with other functionalities and resolutions to expand our understanding of the structure-function relationship of biomolecules in two-dimensions.

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