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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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Kinetic Analysis App

Authors: Price, Claire L.; Noble, J. Gareth; Seeley, Aidan;

Kinetic Analysis App

Abstract

This interactive Shiny app allows students and educators to explore enzyme kinetics using common linear and non-linear models. Users can input their own experimental data or modify built-in examples to fit kinetic curves and calculate parameters like Vmax and Km. The app supports multiple visualisations including: Michaelis–Menten plots Lineweaver–Burke plots Hanes–Woolf plots Eadie–Hofstee plots The tool is designed for teaching in biochemistry, pharmacology and biomedical science programs and helps reinforce core concepts of enzyme behaviour under varying substrate concentrations. Try it live: https://claireprice.shinyapps.io/KineticsApp/ Licensed under CC BY 4.0. Free to use, adapt, and redistribute with attribution. This work was supported by an education grant from the British Pharmacological Society.

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United Kingdom
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average