Evidence map›Paper›PMID 32211950›Full record

ArticleJournal of mathematical biology2020

Time-dependent product-form Poisson distributions for reaction networks with higher order complexes.

David F Anderson, David Schnoerr, Chaojie Yuan

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of mathematical biology, 2020. 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
0.3field-weighted citation impact, top 44% of its field
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, 9 citations in OpenAlex.

  1. Review
  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 at 2 institutions in 2 countries.

David F AndersonUniversity of Wisconsin-Madison, Wisconsin, USA. anderson@math.wisc.edu.ORCID 0000-0002-2344-614X
David SchnoerrImperial College, London, UK.
Chaojie YuanUniversity of Wisconsin-Madison, Wisconsin, USA.
University of Wisconsin–Madison · USImperial College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/P028306/1
6 · The paper itself

Abstract

It is well known that stochastically modeled reaction networks that are complex balanced admit a stationary distribution that is a product of Poisson distributions. In this paper, we consider the following related question: supposing that the initial distribution of a stochastically modeled reaction network is a product of Poissons, under what conditions will the distribution remain a product of Poissons for all time? By drawing inspiration from Crispin Gardiner's "Poisson representation" for the solution to the chemical master equation, we provide a necessary and sufficient condition for such a product-form distribution to hold for all time. Interestingly, the condition is a dynamical "complex-balancing" for only those complexes that have multiplicity greater than or equal to two (i.e. the higher order complexes that yield non-linear terms to the dynamics). We term this new condition the "dynamical and restricted complex balance" condition (DR for short).

Indexed as

Models, BiologicalGene Regulatory NetworksKineticsLinear ModelsMarkov ChainsMathematical ConceptsMetabolic Networks and PathwaysModels, ChemicalNonlinear DynamicsPoisson DistributionSignal TransductionStochastic ProcessesSystems BiologyComplex balancingDeficiencyPoisson distributionReaction networksStochastic processes

Identifiers

PMID32211950
OpenAlexW3013178105

What OpenQuestion holds

Textmetadata
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.