Evidence map›Paper›PMID 38516799›Full record

ArticleBiochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology

Use of interactive mathematical simulations in Fundamentals of Biochemistry, a LibreText online educational resource, to promote understanding of dynamic reactions.

Henry V Jakubowski, Henry Agnew, Bartholomew Jardine, Herbert M Sauro

Abstract read
In one paragraph

Article in Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Henry V JakubowskiDepartment of Chemistry, College of Saint Benedict/Saint John's University, Saint Joseph, Minnesota, USA.ORCID 0000-0002-9629-9339
Henry AgnewDepartment of Chemistry and Biochemistry, University of California San Diego, San Diego, California, USA.
Bartholomew JardineDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Herbert M SauroDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.

Funding

High Performance Simulation Libraries for Systems BiologyR01GM123032 · NIGMS · UNIVERSITY OF WASHINGTON · PI SAURO, HERBERT M. · 2017 to 2020
$1.7M
Department of Education Open Textbook Pilot Project (FIPSE), the UC Davis Office of the Provost, the UC Davis Library, the California State University Affordable Learning Solutions Program, and MerlotNIGMS NIH HHS R01 GM123032NIH/NIGMS R01-GM123032-04
6 · The paper itself

Abstract

Biology is perhaps the most complex of the sciences, given the incredible variety of chemical species that are interconnected in spatial and temporal pathways that are daunting to understand. Their interconnections lead to emergent properties such as memory, consciousness, and recognition of self and non-self. To understand how these interconnected reactions lead to cellular life characterized by activation, inhibition, regulation, homeostasis, and adaptation, computational analyses and simulations are essential, a fact recognized by the biological communities. At the same time, students struggle to understand and apply binding and kinetic analyses for the simplest reactions such as the irreversible first-order conversion of a single reactant to a product. This likely results from cognitive difficulties in combining structural, chemical, mathematical, and textual descriptions of binding and catalytic reactions. To help students better understand dynamic reactions and their analyses, we have introduced two kinds of interactive graphs and simulations into the online educational resource, Fundamentals of Biochemistry, a LibreText biochemistry book. One is available for simple binding and kinetic reactions. The other displays progress curves (concentrations vs. time) for simple reactions and complex metabolic and signal transduction pathways. Users can move sliders to change dissociation and kinetic constants as well as initial concentrations and see instantaneous changes in the graphs. They can also export data into a spreadsheet for further processing, such as producing derivative Lineweaver-Burk and traditional Michaelis-Menten graphs of initial velocity (v

Indexed as

BiochemistryComputer SimulationHumansInternetKineticsStudentseducationequilbriumkineticsmodelingsignalingsteady‐state

Identifiers

PMID38516799
PMCPMC11245375

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.