Evidence map›Paper›PMID 40379992›Full record

ArticleBulletin of mathematical biology2025

Accuracy Versus Predominance: Reassessing the Validity of the Quasi-Steady-State Approximation.

Kashvi Srivastava, Justin Eilertsen, Victoria Booth, Santiago Schnell

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In one paragraph

Article in Bulletin of mathematical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kashvi SrivastavaDepartment of Mathematics, University of Michigan, Ann Arbor, MI, 48109, USA.
Justin EilertsenMathematical Reviews, American Mathematical Society, 416 4th Street, Ann Arbor, MI, 48103, USA.
Victoria BoothDepartment of Mathematics, University of Michigan, Ann Arbor, MI, 48109, USA.
Santiago SchnellDepartment of Biological Sciences and Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, 46556, USA. santiago.schnell@nd.edu.ORCID http://orcid.org/0000-0002-9477-3914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of the standard quasi-steady-state approximation to the Michaelis-Menten reaction mechanism is a textbook example of biochemical model reduction, derived using singular perturbation theory. However, determining the specific biochemical conditions that dictate the validity of the standard quasi-steady-state approximation remains a challenging endeavor. Emerging research suggests that the accuracy of the standard quasi-steady-state approximation improves as the ratio of the initial enzyme concentration,

Indexed as

Models, BiologicalComputer SimulationEnzymesKineticsMathematical ConceptsReproducibility of ResultsEnzymesMichaelis–Menten reaction mechanismQuasi-steady-state approximationSingular perturbationTimescale separation

Identifiers

PMID40379992
PMCPMC12084256

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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.