Using multiscale molecular dynamics simulations to explore the fusion machinery underlying neurotransmitter release.

IF 7.2 2区 生物学 Q1 BIOPHYSICS
Dong An, Satyan Sharma, Manfred Lindau
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引用次数: 0

Abstract

Neurotransmitter release via synaptic vesicle fusion with the plasma membrane is driven by SNARE proteins (Synaptobrevin, Syntaxin, and SNAP-25) and accessory proteins (Synaptotagmin, Complexin, Munc13, and Munc18). While extensively studied experimentally, the precise mechanisms and dynamics remain elusive due to spatiotemporal limitations. Molecular dynamics (MD) simulations-both all-atom (AA) and coarse-grained (CG)-bridge these gaps by capturing fusion dynamics beyond experimental resolution. This review explores the use of these simulations in understanding SNARE-mediated membrane fusion and its regulation by Synaptotagmin and Complexin. We first examine two competing hypotheses regarding the driving force of fusion: (1) SNARE zippering transducing energy through rigid juxtamembrane domains (JMDs) and (2) SNAREs generating entropic forces via flexible JMDs. Despite different origins of forces, the conserved fusion pathway - from membrane adhesion to stalk and fusion pore (FP) formation - emerges across models. We also highlight the critical role of SNARE transmembrane domains (TMDs) and their regulation by post-translational modifications like palmitoylation in fast fusion. Further, we review Ca²⁺-dependent interactions of Synaptotagmin's C2 domains with lipids and SNAREs at the primary and tripartite interfaces, and how these interactions regulate fusion timing. Complexin's role in clamping spontaneous fusion while facilitating evoked release via its central and accessory helices is also discussed. We present a case study leveraging AA and CG simulations to investigate ion selectivity in FPs, balancing timescale and accuracy. We conclude with the limitations in current simulations and using AI tools to construct complete fusion machinery and explore isoform-specific functions in fusion machinery.

利用多尺度分子动力学模拟探索神经递质释放背后的融合机制。
神经递质通过突触囊泡与质膜融合释放,由SNARE蛋白(Synaptobrevin、Syntaxin和SNAP-25)和辅助蛋白(Synaptotagmin、Complexin、Munc13和Munc18)驱动。虽然实验研究广泛,但由于时空限制,精确的机制和动力学仍然难以捉摸。分子动力学(MD)模拟——包括全原子(AA)和粗粒度(CG)——通过捕捉超出实验分辨率的聚变动力学,弥补了这些空白。这篇综述探讨了利用这些模拟来理解snare介导的膜融合及其由Synaptotagmin和Complexin调控。我们首先考察了两种相互竞争的关于核聚变驱动力的假设:(1)SNARE通过刚性近膜结构域(jmd)产生能量;(2)SNARE通过柔性近膜结构域产生熵力。尽管力的来源不同,但保守的融合途径-从膜粘附到茎和融合孔(FP)的形成-在模型中出现。我们还强调了SNARE跨膜结构域(TMDs)及其通过翻译后修饰(如棕榈酰化)在快速融合中的调节的关键作用。此外,我们回顾了Synaptotagmin的C2结构域与脂质和SNAREs在初级和三方界面上的Ca 2 +依赖的相互作用,以及这些相互作用如何调节融合时间。络合蛋白在箝制自发融合的同时通过其中心和附属螺旋促进诱发释放的作用也进行了讨论。我们提出了一个案例研究,利用AA和CG模拟来研究FPs中的离子选择性,平衡时间尺度和精度。最后,我们总结了当前模拟和使用人工智能工具构建完整融合机制以及探索融合机制中异构体特定功能的局限性。
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
Quarterly Reviews of Biophysics
Quarterly Reviews of Biophysics 生物-生物物理
CiteScore
12.90
自引率
1.60%
发文量
16
期刊介绍: Quarterly Reviews of Biophysics covers the field of experimental and computational biophysics. Experimental biophysics span across different physics-based measurements such as optical microscopy, super-resolution imaging, electron microscopy, X-ray and neutron diffraction, spectroscopy, calorimetry, thermodynamics and their integrated uses. Computational biophysics includes theory, simulations, bioinformatics and system analysis. These biophysical methodologies are used to discover the structure, function and physiology of biological systems in varying complexities from cells, organelles, membranes, protein-nucleic acid complexes, molecular machines to molecules. The majority of reviews published are invited from authors who have made significant contributions to the field, who give critical, readable and sometimes controversial accounts of recent progress and problems in their specialty. The journal has long-standing, worldwide reputation, demonstrated by its high ranking in the ISI Science Citation Index, as a forum for general and specialized communication between biophysicists working in different areas. Thematic issues are occasionally published.
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