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Related Concept Videos

Introduction to Enzyme Kinetics01:19

Introduction to Enzyme Kinetics

30.5K
Enzyme kinetics studies the rates of biochemical reactions. Scientists monitor the reaction rates for a particular enzymatic reaction at various substrate concentrations. Additional trials with inhibitors or other molecules that affect the reaction rate may also be performed.
The experimenter can then plot the initial reaction rate or velocity (Vo) of a given trial against the substrate concentration ([S]) to obtain a graph of the reaction properties. For many enzymatic reactions involving a...
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Enzyme Kinetics01:19

Enzyme Kinetics

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Enzymes speed up reactions by lowering the activation energy of the reactants. The speed at which the enzyme turns reactants into products is called the rate of reaction. Several factors impact the rate of reaction, including the number of available reactants. Enzyme kinetics is the study of how an enzyme changes the rate of a reaction.
Scientists typically study enzyme kinetics with a fixed amount of enzyme in the controlled environment of a test tube. When more reactant, or substrate, is...
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Turnover Number and Catalytic Efficiency01:19

Turnover Number and Catalytic Efficiency

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The turnover number of an enzyme is the maximum number of substrate molecules it can transform per unit time. Turnover numbers for most enzymes range from 1 to 1000 molecules per second. Catalase has the known highest turnover number, capable of converting up to 2.8×106 molecules of hydrogen peroxide into water and oxygen per second. Lysozyme has the lowest known turnover number of half a molecule per second.
Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion....
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Related Experiment Video

Updated: Dec 13, 2025

Metabolic Mapping: Quantitative Enzyme Cytochemistry and Histochemistry to Determine the Activity of Dehydrogenases in Cells and Tissues
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Metabolic Mapping: Quantitative Enzyme Cytochemistry and Histochemistry to Determine the Activity of Dehydrogenases in Cells and Tissues

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Measuring Metabolic Enzyme Performance.

Amanda M Williams-Rhaesa1, Michael W W Adams2

  • 1New Materials Institute, University of Georgia, Athens, GA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|July 29, 2020
PubMed
Summary
This summary is machine-generated.

Characterizing metabolic enzyme kinetics is crucial for metabolic engineering. Understanding enzyme activity, not just gene expression, ensures accurate pathway optimization and improved performance.

Keywords:
Enzyme kineticsMetabolic engineeringMetabolic enzymes

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Area of Science:

  • Metabolic Engineering
  • Enzyme Kinetics
  • Synthetic Biology

Background:

  • Metabolic engineering relies on understanding enzyme performance for pathway optimization.
  • Gene expression levels do not always correlate with fully active enzyme production, especially for enzymes needing cofactor assembly.
  • Accurate kinetic data is essential for effective metabolic engineering strategies.

Purpose of the Study:

  • To emphasize the critical need for characterizing metabolic enzyme kinetics.
  • To highlight the limitations of gene expression as a sole indicator of enzyme activity.
  • To underscore the importance of kinetic parameters for computational and in vitro pathway optimization.

Main Methods:

  • Enzyme kinetic parameter determination.
  • Development of accurate and reproducible enzyme assays.
  • Analysis of enzyme roles within target pathways and related metabolic networks.

Main Results:

  • Kinetic parameters provide a more accurate measure of enzyme function than gene expression alone.
  • Accurate kinetic data enables the use of computational tools for pathway optimization.
  • Understanding enzymes in related pathways is key to preventing intermediate "siphoning" and improving overall pathway flux.

Conclusions:

  • Characterizing metabolic enzyme kinetics is indispensable for successful metabolic engineering.
  • Accurate kinetic data and assays are vital for leveraging advanced pathway optimization tools.
  • A holistic understanding of enzyme function, including those in ancillary pathways, is necessary for maximizing engineered pathway performance.