Evidence map›Paper›PMID 30346036›Full record

ArticleFEBS letters2018

SNARE-mediated membrane fusion is a two-stage process driven by entropic forces.

Zachary A McDargh, Anirban Polley, Ben O'Shaughnessy

Abstract read
In one paragraph

Article in FEBS letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Molecular Dynamics Simulation for Membrane Fusion.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  4. Article
  5. CHARMM-GUIJournal of chemical theory and computation · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. SNARE-Mediated Exocytosis in Neuronal Development.Frontiers in molecular neuroscience · 2020
    Review
  12. SNARE machinery is optimized for ultrafast fusion.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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.

Zachary A McDarghDepartment of Chemical Engineering, Columbia University, New York City, NY, USA.ORCID 0000-0001-9022-5593
Anirban PolleyDepartment of Chemical Engineering, Columbia University, New York City, NY, USA.
Ben O'ShaughnessyDepartment of Chemical Engineering, Columbia University, New York City, NY, USA.

Funding

Modeling SNARE-Mediated Membrane FusionR01GM117046 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI O'SHAUGHNESSY, BEN · 2017 to 2025
$2.6M
NIGMS NIH HHS R01 GM117046
6 · The paper itself

Abstract

SNARE proteins constitute the core of the exocytotic membrane fusion machinery. Fusion occurs when vesicle-associated and target membrane-associated SNAREs zipper into trans-SNARE complexes ('SNAREpins'), but the number required is controversial and the mechanism of cooperative fusion is poorly understood. We developed a highly coarse-grained molecular dynamics simulation to access the long fusion timescales, which revealed a two-stage process. First, zippering energy was dissipated and cooperative entropic forces assembled the SNAREpins into a ring; second, entropic forces expanded the ring, pressing membranes together and catalyzing fusion. We predict that any number of SNAREs fuses membranes, but fusion is faster with more SNAREs.

Indexed as

ExocytosisMembrane FusionMolecular Dynamics SimulationAlgorithmsAnimalsCalciumEntropyHumansModels, NeurologicalNeuronsProtein BindingQa-SNARE ProteinsSNARE ProteinsSynapsesVesicular Transport ProteinsCalciumQa-SNARE ProteinsSNARE ProteinsVAPA protein, humanVesicular Transport Proteinsentropic forceexocytosismembrane fusionneurotransmitter releaseSNAREsynaptic vesicle fusion

Identifiers

PMID30346036
PMCPMC6298751

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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 OpenQuestion graph.