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Related Experiment Videos

Diffusion in correlated random potentials, with applications to DNA.

Michael Slutsky1, Mehran Kardar, Leonid A Mirny

  • 1Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA. mich@mit.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|July 13, 2004
PubMed
Summary

Biological diffusion on complex energy landscapes shows significant fluctuations. These random walks, crucial for processes like DNA targeting, exhibit anomalous diffusion rules impacting transport times.

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Area of Science:

  • Biophysics
  • Statistical Mechanics
  • Computational Biology

Background:

  • One-dimensional diffusion occurs over correlated, inhomogeneous energy landscapes.
  • Key biological processes like protein-DNA targeting, nucleosome repositioning, and DNA translocation involve this type of diffusion.
  • The correlation length (ξ(c)) in these biological systems is approximately 10 nm.

Purpose of the Study:

  • To investigate transport processes on correlated inhomogeneous energy landscapes using the mean first passage time (MFPT) formalism.
  • To analyze the impact of energy landscape fluctuations on diffusion times and biological process efficiency.

Main Methods:

  • Utilized the mean first passage time (MFPT) formalism to model diffusion.
  • Analyzed the average MFPT and its standard deviation over an ensemble of energy profiles.

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  • Investigated the scaling behavior of diffusion times with displacement (N).
  • Main Results:

    • Diffusion times exhibit strong sample-to-sample fluctuations.
    • The average MFPT is diffusive, but its standard deviation scales as N(3/2).
    • Fluctuations dominate for displacements smaller than a characteristic N(c) >> ξ(c), leading to anomalous diffusion rules.

    Conclusions:

    • Random walks on these landscapes are characterized by rapid scans in favorable regions and occasional jumps.
    • Anomalous diffusion governs transport for smaller displacements, significantly differing from the mean behavior.
    • These findings have potential biological implications for understanding the efficiency and dynamics of molecular processes.