From aggressive driving to molecular motor traffic
Ambarish Kunwar, Andreas Schadschneider, Debashish Chowdhury

TL;DR
This paper develops a cellular automata model for dynein motor traffic, incorporating unique step size features and attachment-detachment dynamics, providing insights into intracellular motor transport mechanisms.
Contribution
It introduces a novel automata-based model for dynein motors, extending vehicular traffic models to include biological motor behaviors and compares dynein with kinesin transport efficiencies.
Findings
Analytical and simulation results reveal phase coexistence of high and low density motor regions.
The model captures the impact of attachment and detachment on motor traffic phases.
Dynein and kinesin efficiencies vary with model parameters, highlighting different transport regimes.
Abstract
Motivated by recent experimental results for the step sizes of dynein motor proteins, we develope a cellular automata model for intra-cellular traffic of dynein motors incorporating special features of the hindrance-dependent step size of the individual motors. We begin by investigating the properties of the aggressive driving model (ADM), a simple cellular automata-based model of vehicular traffic, a unique feature of which is that it allows a natural extension to capture the essential features of dynein motor traffic. We first calculate several collective properties of the ADM, under both periodic and open boundary conditions, analytically using two different mean-field approaches as well as by carrying out computer simulations. Then we extend the ADM by incorporating the possibilities of attachment and detachment of motors on the track which is a common feature of a large class of…
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