Evidence map›Paper›PMID 37416823›Full record

ArticleRoyal Society open science2023

Implications of different membrane compartmentalization models in particle-based

Philipp Henning, Till Köster, Fiete Haack, Kevin Burrage, Adelinde M Uhrmacher

Abstract read
In one paragraph

Article in Royal Society open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Philipp HenningInstitute for Visual and Analytic Computing, University of Rostock, Rostock, Germany.ORCID 0000-0002-9758-4596
Till KösterInstitute for Visual and Analytic Computing, University of Rostock, Rostock, Germany.ORCID 0000-0003-0869-381X
Fiete HaackInstitute for Visual and Analytic Computing, University of Rostock, Rostock, Germany.ORCID 0000-0003-3713-8313
Kevin BurrageSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-8111-1137
Adelinde M UhrmacherInstitute for Visual and Analytic Computing, University of Rostock, Rostock, Germany.ORCID 0000-0001-5256-4682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying membrane dynamics is important to understand the cellular response to environmental stimuli. A decisive spatial characteristic of the plasma membrane is its compartmental structure created by the actin-based membrane-skeleton (fences) and anchored transmembrane proteins (pickets). Particle-based reaction-diffusion simulation of the membrane offers a suitable temporal and spatial resolution to analyse its spatially heterogeneous and stochastic dynamics. Fences have been modelled via hop probabilities, potentials or explicit picket fences. Our study analyses the different approaches' constraints and their impact on simulation results and performance. Each of the methods comes with its own constraints; the picket fences require small timesteps, potential fences might induce a bias in diffusion in crowded systems, and probabilistic fences, in addition to carefully scaling the probability with the timesteps, induce higher computational costs for each propagation step.

Indexed as

membraneparticle-based simulationrestricted diffusion

Identifiers

PMID37416823
PMCPMC10320350

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.