Evidence map›Paper›PMID 39601934›Full record

ArticleBulletin of mathematical biology2024

Multi-Grid Reaction-Diffusion Master Equation: Applications to Morphogen Gradient Modelling.

Radek Erban, Stefanie Winkelmann

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2024. 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

2 authors.

Radek ErbanMathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK. erban@maths.ox.ac.uk.ORCID http://orcid.org/0000-0001-8470-3763
Stefanie WinkelmannZuse Institute Berlin (ZIB), Takustrasse 7, 14195, Berlin, Germany. winkelmann@zib.de.

Funding

Deutsche Forschungsgemeinschaft 390685689Deutsche Forschungsgemeinschaft CRC 1114Engineering and Physical Sciences Research Council EP/V047469/1
6 · The paper itself

Abstract

The multi-grid reaction-diffusion master equation (mgRDME) provides a generalization of stochastic compartment-based reaction-diffusion modelling described by the standard reaction-diffusion master equation (RDME). By enabling different resolutions on lattices for biochemical species with different diffusion constants, the mgRDME approach improves both accuracy and efficiency of compartment-based reaction-diffusion simulations. The mgRDME framework is examined through its application to morphogen gradient formation in stochastic reaction-diffusion scenarios, using both an analytically tractable first-order reaction network and a model with a second-order reaction. The results obtained by the mgRDME modelling are compared with the standard RDME model and with the (more detailed) particle-based Brownian dynamics simulations. The dependence of error and numerical cost on the compartment sizes is defined and investigated through a multi-objective optimization problem.

Indexed as

Computer SimulationMathematical ConceptsModels, BiologicalStochastic ProcessesAnimalsDiffusionMorphogenesisMorphogen gradient formationMulti-grid methodsReaction-diffusion master equationStochastic simulation algorithms

Identifiers

PMID39601934
PMCPMC11602816

What OpenQuestion holds

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Registered trials

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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.