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Related Experiment Videos

Finite concentration effects on diffusion-controlled reactions.

Sanjib Senapati1, Chung F Wong, J Andrew McCammon

  • 1Department of Chemistry and Biochemistry, University of California-San Diego, La Jolla, CA 92093-0365, USA.

The Journal of Chemical Physics
|October 16, 2004
PubMed
Summary
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High substrate concentrations necessitate accounting for substrate-substrate interactions in enzymatic reaction rate calculations. A new simulation model demonstrates significant effects at 0.1M, unlike at 0.1mM.

Area of Science:

  • Biophysical Chemistry
  • Computational Biology
  • Chemical Kinetics

Background:

  • The Northrup, Allison, and McCammon algorithm is widely used for diffusion-influenced enzymatic reaction rates.
  • This algorithm assumes substrate-substrate interactions are negligible, which may be inaccurate at high ligand concentrations.

Purpose of the Study:

  • To develop and validate a simulation model incorporating substrate-substrate interactions for enzymatic reactions.
  • To investigate the impact of substrate-substrate interactions on diffusion-controlled reaction rates across different concentrations.

Main Methods:

  • Construction of a novel simulation model accounting for substrate-substrate interactions.
  • Validation of the simulation model against established analytical theories.

Related Experiment Videos

  • Simulation of enzymatic reactions at varying substrate concentrations (0.1 mM and 0.1 M).

    • Main Results:

    • Diffusion-controlled reaction rates showed minimal sensitivity to substrate-substrate interactions at 0.1 mM.
    • Significant influence of substrate-substrate interactions on reaction rates was observed at 0.1 M substrate concentration.

    Conclusions:

    • A simulation model including substrate-substrate interactions is crucial for accurate prediction of diffusion-controlled reaction rates at high substrate concentrations.
    • The presented simulation model offers a reliable approach for such predictions.