Membrane lateral organization from potential energy disconnectivity graph

IF 3.3 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Sahithya Sridharan Iyer , Anand Srivastava
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引用次数: 0

Abstract

Understanding the thermodynamic and kinetic properties of biomolecules requires elucidation of their complex energy landscape. A disconnectivity graph analysis of the energy landscape provides a framework for mapping the multi-dimensional landscape onto a two-dimensional representation while preserving the key features of the energy landscape. Several studies show that the structure or shape of the disconnectity graph is directly associated with the function of protein and nucleic acid molecules. In this review, we discuss how disconnectivity analysis of the potential energy surface can be extended to lipid molecules to glean important information about membrane organization. The shape of the disconnectivity graphs can be used to predict the lateral organization of multi-component lipid bilayer. We hope that this review encourages the use of disconnectivity graphs routinely by membrane biophysicists to predict the lateral organization of lipids.

Abstract Image

从势能断开图看薄膜横向组织。
要了解生物分子的热力学和动力学特性,就必须阐明其复杂的能量景观。能量图谱的断开图分析提供了一个框架,可将多维图谱映射到二维图谱上,同时保留能量图谱的关键特征。一些研究表明,断开图的结构或形状与蛋白质和核酸分子的功能直接相关。在这篇综述中,我们将讨论如何将势能面的断开分析扩展到脂质分子,以收集有关膜组织的重要信息。断开图的形状可用于预测多组分脂质双分子层的横向组织。我们希望这篇综述能鼓励膜生物物理学家常规使用断开图来预测脂质的横向组织。
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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来源期刊
Biophysical chemistry
Biophysical chemistry 生物-生化与分子生物学
CiteScore
6.10
自引率
10.50%
发文量
121
审稿时长
20 days
期刊介绍: Biophysical Chemistry publishes original work and reviews in the areas of chemistry and physics directly impacting biological phenomena. Quantitative analysis of the properties of biological macromolecules, biologically active molecules, macromolecular assemblies and cell components in terms of kinetics, thermodynamics, spatio-temporal organization, NMR and X-ray structural biology, as well as single-molecule detection represent a major focus of the journal. Theoretical and computational treatments of biomacromolecular systems, macromolecular interactions, regulatory control and systems biology are also of interest to the journal.
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