Evidence map›Paper›PMID 31710808›Full record

ArticleBiochemistry2019

Measurement of Net Rate Constants from Enzyme Progress Curves without Curve Fitting.

Mark W Ruszczycky, Hung-Wen Liu

Abstract read
In one paragraph

Article in Biochemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Mark W RuszczyckyDivision of Chemical Biology and Medicinal Chemistry, College of Pharmacy , The University of Texas at Austin , Austin , Texas 78712 , United States.
Hung-Wen LiuDivision of Chemical Biology and Medicinal Chemistry, College of Pharmacy , The University of Texas at Austin , Austin , Texas 78712 , United States.ORCID 0000-0001-8953-4794

Funding

Three-Membered Ring Metabolites, Inhibition &FormationR01GM040541 · NIGMS · UNIVERSITY OF TEXAS AUSTIN · PI LIU, HUNG-WEN · 1989 to 2023
$7.4M
NIGMS NIH HHS R01 GM040541
6 · The paper itself

Abstract

A method is described whereby net rate constants can be directly inferred from the progress curves of enzyme intermediates without the need for model specification, numerical analysis, curve fitting, or the steady-state approximation. Specifically, if an enzyme intermediate in an ultimately irreversible serial subsequence is perturbed from and returns back to its equilibrium state as the substrate is consumed, then its net rate constant is given by the ratio of the total substrate consumed and the area under the progress curve for the enzyme intermediate. A rigorous analysis demonstrates this result to hold independent of the complete enzymatic reaction in which the subsequence is embedded, making it broadly applicable to a very wide range of kinetic mechanisms, including those complicated by inhibition. As a theoretical consequence, it is shown that traditionally steady-state parameters such as

Indexed as

EnzymesEnzyme StabilityKineticsModels, ChemicalEnzymes

Identifiers

PMID31710808
PMCPMC6910778

What OpenQuestion holds

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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.