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Use of interactive mathematical simulations in Fundamentals of Biochemistry, a LibreText online educational resource, to promote understanding of dynamic reactions.
Jakubowski, Henry V; Agnew, Henry; Jardine, Bartholomew; Sauro, Herbert M.
Afiliación
  • Jakubowski HV; Department of Chemistry, College of Saint Benedict/Saint John's University, Saint Joseph, Minnesota, USA.
  • Agnew H; Department of Chemistry and Biochemistry, University of California San Diego, San Diego, California, USA.
  • Jardine B; Department of Bioengineering, University of Washington, Seattle, Washington, USA.
  • Sauro HM; Department of Bioengineering, University of Washington, Seattle, Washington, USA.
Biochem Mol Biol Educ ; 52(4): 426-435, 2024.
Article en En | MEDLINE | ID: mdl-38516799
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 (v0) versus substrate concentration.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Bioquímica Límite: Humans Idioma: En Revista: Biochem Mol Biol Educ Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Bioquímica Límite: Humans Idioma: En Revista: Biochem Mol Biol Educ Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos