Evidence map›Paper›PMID 30218978›Full record

ArticleBiophysical chemistry2018

A theory of reactant-stationary kinetics for a mechanism of zymogen activation.

Justin Eilertsen, Wylie Stroberg, Santiago Schnell

Abstract read
In one paragraph

Article in Biophysical chemistry, 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Phase-plane geometries in coupled enzyme assays.Mathematical biosciences · 2018
    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.

Justin EilertsenDepartment of Molecular & Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Wylie StrobergDepartment of Molecular & Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Santiago SchnellDepartment of Molecular & Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Computational Medicine & Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA. Electronic address: schnells@umich.edu.

Funding

Michigan IRACDA: Training Future Professors of Engineering and PhysiologyK12GM111725 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, SUSAN V, SEPT, DAVID · 2016 to 2025
$7.9M
NIGMS NIH HHS K12 GM111725
6 · The paper itself

Abstract

A theoretical analysis is performed on the nonlinear ordinary differential equations that govern the dynamics of a reaction mechanism of zymogen activation. The reaction consists of a primary non-observable zymogen activation reaction that it is coupled to an indicator (observable) reaction. The product of the first reaction is the enzyme of the indicator reaction, and both reactions are governed by the Michaelis-Menten reaction mechanism. Using singular perturbation methods, we derive asymptotic solutions that are valid under the quasi-steady-state and reactant-stationary assumptions. In particular, we obtain closed form solutions that are analogous to the Schnell-Mendoza equation for Michaelis-Menten type reactions. These closed-form solutions approximate the evolution of the observable reaction and provide the mathematical link necessary to measure the enzyme activity of the non-observable reaction. Conditions for the validity of the asymptotic solutions are also derived, and we demonstrate that these asymptotic expressions are applicable under reactant-stationary kinetics.

Indexed as

AlgorithmsEnzyme AssaysEnzyme PrecursorsEnzymesKineticsModels, TheoreticalEnzyme PrecursorsEnzymesCoupled enzyme assaySchnell–Mendoza equationSingular perturbation analysisTime course experimentsTimescale separation analysisZymogen activation

Identifiers

PMID30218978
PMCPMC6532997

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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.