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基于无偏动态分子动力学模拟的脂质双分子层中跨膜二聚化的自由能、速率和机制

Free Energy, Rates, and Mechanism of Transmembrane Dimerization in Lipid Bilayers from Dynamically Unbiased Molecular Dynamics Simulations.

作者信息

Jackel Emil, Lazzeri Gianmarco, Covino Roberto

机构信息

Institute of Biophysics, Goethe University Frankfurt, Frankfurt am Main 60438, Germany.

Frankfurt Institute for Advanced Studies, Frankfurt am Main 60438, Germany.

出版信息

J Phys Chem B. 2025 Feb 6;129(5):1586-1596. doi: 10.1021/acs.jpcb.4c05242. Epub 2025 Jan 23.

DOI:10.1021/acs.jpcb.4c05242
PMID:39848609
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11808646/
Abstract

The assembly of proteins in membranes plays a key role in many crucial cellular pathways. Despite their importance, characterizing transmembrane assembly remains challenging for experiments and simulations. Equilibrium molecular dynamics simulations do not cover the time scales required to sample the typical transmembrane assembly. Hence, most studies rely on enhanced sampling schemes that steer the dynamics of transmembrane proteins along a collective variable that should encode all slow degrees of freedom. However, given the complexity of the condensed-phase lipid environment, this is far from trivial, with the consequence that free energy profiles of dimerization can be poorly converged. Here, we introduce an alternative approach, which relies only on simulating short, dynamically unbiased paths, avoiding using collective variables or biasing forces. By merging all paths, we obtain free energy profiles, rates, and mechanisms of transmembrane dimerization with the same set of simulations. We showcase our algorithm by sampling the spontaneous association and dissociation of a transmembrane protein in a lipid bilayer, the popular coarse-grained Martini force field. Our algorithm represents a promising way to investigate assembly processes in biologically relevant membranes, overcoming some of the challenges of conventional methods.

摘要

膜中蛋白质的组装在许多关键细胞途径中起着关键作用。尽管它们很重要,但表征跨膜组装对于实验和模拟来说仍然具有挑战性。平衡分子动力学模拟无法涵盖采样典型跨膜组装所需的时间尺度。因此,大多数研究依赖于增强采样方案,这些方案沿着一个应编码所有慢自由度的集体变量来引导跨膜蛋白的动力学。然而,鉴于凝聚相脂质环境的复杂性,这绝非易事,其结果是二聚化的自由能分布可能收敛性很差。在这里,我们引入一种替代方法,该方法仅依赖于模拟短的、无动力学偏差的路径,避免使用集体变量或偏置力。通过合并所有路径,我们用同一组模拟获得了跨膜二聚化的自由能分布、速率和机制。我们通过在脂质双层(流行的粗粒度Martini力场)中对跨膜蛋白的自发缔合和解离进行采样来展示我们的算法。我们的算法代表了一种有前途的方法来研究生物相关膜中的组装过程,克服了传统方法的一些挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/11808646/f62a2f940018/jp4c05242_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/11808646/cc0df06484dd/jp4c05242_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/11808646/4e42d7ee7abd/jp4c05242_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/11808646/ac3270b3fc71/jp4c05242_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/11808646/e0d72d9160c7/jp4c05242_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/11808646/f62a2f940018/jp4c05242_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/11808646/cc0df06484dd/jp4c05242_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/11808646/4e42d7ee7abd/jp4c05242_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/11808646/ac3270b3fc71/jp4c05242_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/11808646/e0d72d9160c7/jp4c05242_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ab/11808646/f62a2f940018/jp4c05242_0005.jpg

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