Evidence map›Paper›PMID 40574507›Full record

ReviewQuarterly reviews of biophysics2025

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

Dong An, Satyan Sharma, Manfred Lindau

Abstract readReview
In one paragraph

Review in Quarterly reviews of biophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dong AnDepartment of Physiology and Biophysics, https://ror.org/02dgjyy92University of Miami Miller School, Miami, FL, USA.
Satyan SharmaDepartment of Chemistry - BMC, https://ror.org/048a87296Uppsala University, Uppsala, Sweden.
Manfred LindauDepartment of Physiology and Biophysics, https://ror.org/02dgjyy92University of Miami Miller School, Miami, FL, USA.ORCID 0000-0002-5722-9557

Funding

Molecular mechanisms of exocytotic vesicle fusion and release.R35GM139608 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI LINDAU, MANFRED · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM139608
6 · The paper itself

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.

Indexed as

Membrane FusionMolecular Dynamics SimulationNeurotransmitter AgentsAnimalsHumansSNARE ProteinsNeurotransmitter AgentsSNARE Proteinsfusion machineryMD simulationmembrane fusionneurotransmissionSNARE complex

Identifiers

PMID40574507
PMCPMC13092361

What Socratic holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.