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Driven transport on open filaments with interfilament switching processes.

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This study models intracellular transport using a two-filament lattice gas system. It reveals unique phases and density profiles arising from particle movement and switching between filaments.

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Area of Science:

  • Physics
  • Biophysics
  • Computational Biology

Background:

  • Intracellular transport relies on motor proteins moving along cytoskeletal filaments.
  • Microtubule-based transport involves cargo movement on parallel filaments with potential switching.

Purpose of the Study:

  • To model and understand particle dynamics in a two-filament lattice gas system.
  • To investigate the effects of filament switching and boundary processes on transport.
  • To explore emergent phenomena like phase transitions and density variations.

Main Methods:

  • Developed a two-filament driven lattice gas model.
  • Incorporated filament-switching processes correlated with site occupation.
  • Utilized mean-field (MF) theory and Monte Carlo (MC) simulations for analysis.

Main Results:

  • Observed diverse phases with inhomogeneous density profiles, including density shocks.
  • Identified density differences across filaments and bidirectional current flows.
  • MF theory predictions closely matched MC simulation results for density, current, and phase diagrams.

Conclusions:

  • The interplay of boundary processes and filament switching creates complex transport behaviors.
  • The model provides a framework for understanding multifilament intracellular transport.
  • Mean-field theory effectively captures the system's essential dynamics.