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近年来,利用分子动力学模拟研究膜β-桶蛋白的进展:从其脂质环境到组装。

Recent Advances in Modeling Membrane β-Barrel Proteins Using Molecular Dynamics Simulations: From Their Lipid Environments to Their Assemblies.

机构信息

Department of Chemistry, Aarhus University, Aarhus, Denmark.

School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai, China.

出版信息

Methods Mol Biol. 2024;2778:311-330. doi: 10.1007/978-1-0716-3734-0_19.

Abstract

Spurred by advances in AI-driven modeling and experimental methods, molecular dynamics simulations are now acting as a platform to integrate these different approaches. This combination of methods is especially useful to understand β-barrel proteins from the molecular level, e.g., identifying specific interactions with lipids or small molecules, up to assemblies comprised of hundreds of proteins and thousands of lipids. In this minireview, we will discuss recent advances, mainly from the last 5 years, in modeling β-barrel proteins and their assemblies. These approaches require specific kinds of modeling and potentially different model resolutions that we will first describe in Subheading 1. We will then focus on different aspects of β-barrel protein modeling: how different types of molecules can diffuse through β-barrel proteins (Subheading 2); how lipids can interact with these proteins (Subheading 3); how β-barrel proteins can interact with membrane partners (Subheading 4) or periplasmic extensions and partners (Subheading 5) to form large assemblies.

摘要

受人工智能驱动的建模和实验方法的推动,分子动力学模拟现在正成为整合这些不同方法的平台。这种方法的结合对于从分子水平理解β-桶蛋白特别有用,例如,识别与脂质或小分子的特定相互作用,以及由数百种蛋白质和数千种脂质组成的组装体。在这篇综述中,我们将讨论最近的进展,主要来自过去 5 年,在建模β-桶蛋白及其组装体方面。这些方法需要特定类型的建模,并且可能需要不同的模型分辨率,我们将在小标题 1 中首先描述这些。然后,我们将重点讨论β-桶蛋白建模的不同方面:不同类型的分子如何通过β-桶蛋白扩散(小标题 2);脂质如何与这些蛋白质相互作用(小标题 3);β-桶蛋白如何与膜伴侣(小标题 4)或周质延伸和伴侣(小标题 5)相互作用形成大的组装体。

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