Evidence map›Paper›PMID 30120513›Full record

ArticleJournal of mathematical biology2019

Exponential equilibration of genetic circuits using entropy methods.

José A Cañizo, José A Carrillo, Manuel Pájaro

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

José A CañizoDepartamento de Matemática Aplicada, Universidad de Granada, 18071, Granada, Spain.
José A CarrilloDepartment of Mathematics, Imperial College London, London, SW7 2AZ, UK. carrillo@imperial.ac.uk.ORCID 0000-0001-8819-4660
Manuel PájaroBioProcess Engineering Group, IIM-CSIC, Spanish Council for Scientific Research, Eduardo Cabello 6, 36208, Vigo, Spain.ORCID 0000-0001-7340-9737

Funding

Engineering and Physical Sciences Research Council EP/P031587/1
6 · The paper itself

Abstract

We analyse a continuum model for genetic circuits based on a partial integro-differential equation initially proposed in Friedman et al. (Phys Rev Lett 97(16):168302, 2006) as an approximation of a chemical master equation. We use entropy methods to show exponentially fast convergence to equilibrium for this model with explicit bounds. The asymptotic equilibration for the multidimensional case of more than one gene is also obtained under suitable assumptions on the equilibrium stationary states. The asymptotic equilibration property for networks involving one and more than one gene is investigated via numerical simulations.

Indexed as

Gene Regulatory NetworksModels, GeneticAlgorithmsComputational BiologyComputer SimulationEntropyKineticsMathematical ConceptsSystems Biology35B4039B9965M9992Dxx

Identifiers

PMID30120513
PMCPMC6437139

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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.