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Effect of Temperature Change on Reaction Rate02:28

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Temperature Dependence on Reaction Rate02:55

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Related Experiment Video

Updated: Jun 23, 2026

Hot Biological Catalysis: Isothermal Titration Calorimetry to Characterize Enzymatic Reactions
13:00

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Published on: April 4, 2014

Resonant response to temperature modulation for enzymatic dynamics characterization.

H Berthoumieux1, C Antoine, L Jullien

  • 1Ecole Normale Supérieure, Département de Chimie, UMR 8640 CNRS ENS UPMC-Paris 6 PASTEUR, 24, rue Lhomond, 75231 Paris Cedex 05, France.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 28, 2009
PubMed
Summary

This study introduces a novel method using temperature modulations to screen enzymes and identify those with specific Michaelis-Menten kinetics. The technique determines enzyme dynamics without fitting, improving screening efficiency.

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Area of Science:

  • Biochemistry
  • Enzyme kinetics
  • Chemical dynamics

Background:

  • Michaelis-Menten kinetics describes enzyme reaction rates.
  • Understanding enzyme dynamics is crucial for biochemical research.
  • Temperature modulations can probe reaction mechanisms.

Purpose of the Study:

  • To develop a method for screening enzymes based on their kinetic properties.
  • To identify enzymes with specific three-state Michaelis-Menten kinetics.
  • To determine enzyme dynamical parameters without fitting.

Main Methods:

  • Applying small-amplitude temperature modulations to enzymes.
  • Analyzing first-order amplitudes of concentration oscillations.
  • Designing a resonant response function to identify target kinetics.

Main Results:

  • A response function was designed to maximize at desired chemical relaxation times.
  • The method allows for screening a large set of enzymes efficiently.
  • All dynamical parameters of target enzymes can be obtained without fitting.

Conclusions:

  • The developed method enables precise identification of enzymes with specific kinetics.
  • The technique provides a way to determine enzyme dynamical parameters directly.
  • The study offers insights into experimental validation and parameter precision.