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Fluctuating enzymes: lessons from single-molecule studies.

Wei Min1, Brian P English, Guobin Luo

  • 1Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA.

Accounts of Chemical Research
|December 20, 2005
PubMed
Summary
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Single enzyme molecules show significant fluctuations in turnover rates over time, a phenomenon known as dynamic disorder. This research explains these enzyme kinetics using a novel theoretical model.

Area of Science:

  • Biochemistry
  • Chemical Kinetics
  • Enzyme Dynamics

Background:

  • Enzyme activity typically analyzed via ensemble averages, masking single-molecule behavior.
  • Recent advances allow observation of temporal fluctuations in enzyme turnover rates.

Purpose of the Study:

  • Investigate dynamic disorder in single enzyme molecules.
  • Reconcile single-molecule observations with ensemble-averaged models.
  • Explain enzyme kinetics fluctuations using theoretical modeling.

Main Methods:

  • Single-molecule enzymology measurements with enhanced statistics.
  • Analysis of temporal fluctuations in turnover rate constants (1 ms to 100 s).
  • Theoretical modeling using generalized Langevin equation (GLE) for Kramers' barrier crossing.

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Main Results:

  • Demonstrated large temporal fluctuations in single enzyme turnover rates.
  • Linked rate constant fluctuations (dynamic disorder) to protein conformational changes.
  • Showed that GLE model naturally explains dynamic disorder and dispersed kinetics.

Conclusions:

  • Single enzyme molecules exhibit dynamic disorder due to conformational fluctuations.
  • The generalized Langevin equation provides a robust framework for understanding enzyme kinetics.
  • Dynamic disorder is a key factor in enzyme behavior not captured by traditional ensemble methods.