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Related Concept Videos

Introduction to Enzyme Kinetics01:19

Introduction to Enzyme Kinetics

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...
Enzyme Kinetics01:19

Enzyme Kinetics

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...
Turnover Number and Catalytic Efficiency01:19

Turnover Number and Catalytic Efficiency

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. The...
Determination of Michaelis Constant and Maximum Elimination Rate01:20

Determination of Michaelis Constant and Maximum Elimination Rate

The Michaelis constant (KM) and the theoretical maximum process rate (Vmax) are vital parameters in the Michaelis-Menten equation, central to many biochemical reactions. They provide essential insights into enzyme kinetics and drug metabolism.
These parameters can be estimated by analyzing plasma concentration data post-drug administration. A notable example of this application is phenytoin, a drug with capacity-limited kinetics. It's recommended that phenytoin should be administered at two...
Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

The theory of catalytically perfect enzymes was first proposed by W.J. Albery and J. R. Knowles in 1976. These enzymes catalyze biochemical reactions at high-speed. Their catalytic efficiency values range from 108-109 M-1s-1. These enzymes are also called 'diffusion-controlled' as the only rate-limiting step in the catalysis is that of the substrate diffusion into the active site. Examples include triose phosphate isomerase, fumarase, and superoxide dismutase.
Nonlinear Pharmacokinetics: Michaelis-Menten Equation01:18

Nonlinear Pharmacokinetics: Michaelis-Menten Equation

The Michaelis–Menten equation is a fundamental model for describing capacity-limited kinetics in drug metabolism. It offers insights into the rate of decline of plasma drug concentration Cp over time, with Vmax and KM as pivotal parameters.
Vmax represents the maximum achievable process rate, while KM, known as the Michaelis constant, signifies the drug concentration at which the process rate reaches half its maximum. This relationship between Vmax, KM, and Cp gives rise to three distinct...

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Hot Biological Catalysis: Isothermal Titration Calorimetry to Characterize Enzymatic Reactions
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Published on: April 4, 2014

Fitting enzyme kinetic data with KinTek Global Kinetic Explorer.

Kenneth A Johnson1

  • 1Department of Chemistry and Biochemistry, Institute for Cell and Molecular Biology, University of Texas, Austin, Texas, USA.

Methods in Enzymology
|November 10, 2009
PubMed
Summary

KinTek Global

Area of Science:

  • Biochemistry
  • Enzyme Kinetics
  • Computational Biology

Background:

  • Enzyme kinetic data fitting is crucial for understanding enzyme mechanisms.
  • Standard nonlinear regression methods can provide misleading parameter estimates.
  • Distinguishing between a good fit and well-constrained parameters is essential.

Purpose of the Study:

  • To highlight the advantages of KinTek Global's Kinetic Explorer software for enzyme kinetic data analysis.
  • To demonstrate the software's ability to provide reliable parameter estimates and identify unconstrained parameters.
  • To illustrate the limitations of standard nonlinear regression in enzyme kinetics.

Main Methods:

  • Utilizing fast algorithms for numerical integration of rate equations.
  • Employing dynamic simulation for real-time feedback and parameter exploration.

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An Introduction to Processing, Fitting, and Interpreting Transient Absorption Data

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Last Updated: Jun 18, 2026

Hot Biological Catalysis: Isothermal Titration Calorimetry to Characterize Enzymatic Reactions
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Published on: April 4, 2014

Kinetic Screening of Nuclease Activity using Nucleic Acid Probes
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  • Implementing brute-force computation of confidence contours for parameter constraint analysis.

    • Main Results:

    • Kinetic Explorer provides immediate feedback, aiding in learning and data fitting.
    • Dynamic simulation facilitates obtaining initial parameter estimates and exploring parameter space.
    • Confidence contours reveal parameter constraints, unlike standard nonlinear regression which can yield misleading standard errors.

    Conclusions:

    • Kinetic Explorer offers a superior approach to fitting enzyme kinetic data compared to standard methods.
    • The software effectively distinguishes between statistically good fits and fits with well-constrained parameters.
    • Accurate parameter constraint analysis is vital for reliable enzyme kinetic studies.