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Dynein-Inspired Multilane Exclusion Process with Open Boundary Conditions.

Riya Nandi1, Uwe C Täuber2, Priyanka3

  • 1Department of Genetics and Evolution, University of Geneva, 1205 Geneva, Switzerland.

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|October 23, 2021
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Summary
This summary is machine-generated.

This study models dynein motor dynamics using an exclusion process, revealing a new phase diagram under varying load conditions. The maximal-current phase disappears at lower loads, impacting motor behavior.

Keywords:
dwell time distributiondynein motorsexclusion processphase diagram

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Area of Science:

  • Biophysics
  • Statistical Mechanics
  • Motor Protein Dynamics

Background:

  • Dynein motors exhibit complex sidewise motions.
  • Understanding multistep dynamics is crucial for cellular processes.

Purpose of the Study:

  • To model dynein motor multistep dynamics on a cylinder with open ends.
  • To investigate the emergence of a novel phase diagram under varied load conditions.
  • To compare dynein dynamics with the Totally Asymmetric Simple Exclusion Process (TASEP) model.

Main Methods:

  • Utilized a variant of the exclusion process for modeling.
  • Simulated quasi-two-dimensional topology with varied particle step sizes.
  • Analyzed numerical findings under high-, medium-, and low-load conditions.
  • Measured single dynein particle dynamics and dwell time distributions.

Main Results:

  • A novel phase diagram emerged based on load conditions.
  • High-load conditions showed standard TASEP phases (LD, HD, MC).
  • Medium- to low-load conditions lacked the MC phase, showing only LD and HD phases.
  • Single dynein particle dynamics were logarithmically slower than TASEP particles.
  • Dwell time distributions were exponential (less crowded) and double exponential (overcrowded).

Conclusions:

  • The exclusion process model effectively captures dynein motor dynamics.
  • Load conditions significantly influence the phase behavior of dynein motors.
  • Dynein motor behavior deviates from standard TASEP under reduced load.
  • Crowding affects dynein dwell time distributions, aligning with experimental observations.