Evidence map›Paper›PMID 28951955›Full record

ArticleJournal of mathematical biology2018

Conditions for extinction events in chemical reaction networks with discrete state spaces.

Matthew D Johnston, David F Anderson, Gheorghe Craciun, Robert Brijder

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In one paragraph

Article in Journal of mathematical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

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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

4 authors at 3 institutions in 2 countries.

Matthew D JohnstonDepartment of Mathematics, San José State University, San Jose, CA, 95192, USA. matthew.johnston@sjsu.edu.
David F AndersonDepartment of Mathematics, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Gheorghe CraciunDepartment of Mathematics, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Robert BrijderDepartment WET-INF, Hasselt University, Diepenbeek, Belgium.
University of Wisconsin–Madison · USHasselt University · BESan Jose State University · US

Funding

Seizure frequency, Quality of Life and stigma reduction in people living with epilepsyK43TW010401 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI KADDUMUKASA, MARK · 2017 to 2021
$589k
Army Research Office W911NF-14-1-0401National Science Foundation NSF-DMS-1318832National Science Foundation NSF-DMS-1412643
6 · The paper itself

Abstract

We study chemical reaction networks with discrete state spaces and present sufficient conditions on the structure of the network that guarantee the system exhibits an extinction event. The conditions we derive involve creating a modified chemical reaction network called a domination-expanded reaction network and then checking properties of this network. Unlike previous results, our analysis allows algorithmic implementation via systems of equalities and inequalities and suggests sequences of reactions which may lead to extinction events. We apply the results to several networks including an EnvZ-OmpR signaling pathway in Escherichia coli.

Indexed as

Metabolic Networks and PathwaysModels, BiologicalBacterial Outer Membrane ProteinsBacterial ProteinsBiochemical PhenomenaComputational BiologyEscherichia coliEscherichia coli ProteinsKineticsMathematical ConceptsMultienzyme ComplexesSignal TransductionStochastic ProcessesTrans-ActivatorsBacterial Outer Membrane ProteinsBacterial ProteinsenvZ protein, E coliEscherichia coli ProteinsMultienzyme Complexesosmolarity response regulator proteinsTrans-ActivatorsExtinctionPetri netReaction graphReaction networkStochastic process

Identifiers

PMID28951955
OpenAlexW2572651849

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.