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Self-organizing molecular networks

P Stange1, D Zanette, A Mikhailov

  • 1Abteilung Physikalische Chemie, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin, Germany.

Biophysical Chemistry
|July 4, 1998
PubMed
Summary
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In small reaction volumes, enzyme turnover times dictate kinetics, enabling allosteric enzyme networks to display self-organized collective dynamics. This reveals novel molecular network behaviors under specific micro-scale conditions.

Area of Science:

  • Biochemistry
  • Chemical Kinetics
  • Molecular Biology

Background:

  • Micrometer and sub-micrometer reaction volumes exhibit rapid mixing and short delivery times.
  • Individual enzyme molecule turnover times can become the dominant timescale in chemical kinetics under these conditions.

Purpose of the Study:

  • To investigate the collective dynamics of cross-regulating allosteric enzyme networks in confined reaction volumes.
  • To understand how enzyme turnover times influence molecular network behavior.

Main Methods:

  • Theoretical analysis of chemical kinetics in small-volume systems.
  • Modeling of allosteric enzyme populations and their cross-regulation.
  • Simulation of molecular network dynamics.

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Main Results:

  • Enzyme turnover times emerge as the largest characteristic timescale in micro-scale reaction kinetics.
  • Populations of cross-regulating allosteric enzymes form molecular networks.
  • These networks exhibit self-organized coherent collective dynamics.

Conclusions:

  • The unique kinetic regime in small volumes allows for emergent collective behaviors in enzyme networks.
  • Allosteric enzyme networks can display complex dynamics driven by individual enzyme kinetics.
  • Understanding these dynamics is crucial for designing synthetic biological systems and comprehending cellular processes.