Evidence map›Paper›PMID 30599071›Full record

ArticleBulletin of mathematical biology2019

A Deficiency-Based Approach to Parametrizing Positive Equilibria of Biochemical Reaction Systems.

Matthew D Johnston, Stefan Müller, Casian Pantea

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Oscillations and bistability in a model of ERK regulation.Journal of mathematical biology · 2019
    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.

Matthew D JohnstonDepartment of Mathematics, San José State University, One Washington Square, San Jose, CA, 95192, USA.ORCID 0000-0003-2230-880X
Stefan MüllerFaculty of Mathematics, University of Vienna, Vienna, Austria. st.mueller@univie.ac.at.
Casian PanteaDepartment of Mathematics, West Virginia University, Morgantown, WV, 26506, USA.

Funding

Austrian Science Fund FWF P 28406
6 · The paper itself

Abstract

We present conditions which guarantee a parametrization of the set of positive equilibria of a generalized mass-action system. Our main results state that (1) if the underlying generalized chemical reaction network has an effective deficiency of zero, then the set of positive equilibria coincides with the parametrized set of complex-balanced equilibria and (2) if the network is weakly reversible and has a kinetic deficiency of zero, then the equilibrium set is nonempty and has a positive, typically rational, parametrization. Via the method of network translation, we apply our results to classical mass-action systems studied in the biochemical literature, including the EnvZ-OmpR and shuttled WNT signaling pathways. A parametrization of the set of positive equilibria of a (generalized) mass-action system is often a prerequisite for the study of multistationarity and allows an easy check for the occurrence of absolute concentration robustness, as we demonstrate for the EnvZ-OmpR pathway.

Indexed as

Metabolic Networks and PathwaysModels, BiologicalBacterial Outer Membrane ProteinsBacterial ProteinsBiochemical PhenomenaEscherichia coli ProteinsHistidine KinaseKineticsMathematical ConceptsMultienzyme ComplexesSignal TransductionSystems BiologyTrans-ActivatorsWnt Signaling PathwayBacterial Outer Membrane ProteinsBacterial ProteinsenvZ protein, E coliEscherichia coli ProteinsHistidine KinaseMultienzyme Complexesosmolarity response regulator proteinsTrans-ActivatorsAlgebraic varietyChemical kineticsChemical reaction networkDeficiencyEquilibrium

Identifiers

PMID30599071
PMCPMC6397143

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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.