Modeling transport of extended interacting objects with drop-off phenomenon

Author:

Jain Aditi,Gupta Arvind KumarORCID

Abstract

We study a deterministic framework for important cellular transport phenomena involving a large number of interacting molecules called the excluded flow of extended interacting objects with drop-off effect (EFEIOD). This model incorporates many realistic features of biological transport process including the length of biological “particles” and the fact that they can detach along the biological ‘tracks’. The flow between the consecutive sites is unidirectional and is described by a “soft” simple exclusion principle and by repelling or attracting forces between neighboring particles. We show that the model admits a unique steady-state. Furthermore, if the parameters are periodic with common period T, then the steady-state profile converge to a unique periodic solution of period T. Simulations of the EFEIOD demonstrate several non-trivial effects of the interactions on the system steady-state profile. For example, detachment rates may help in increasing the steady-state flow by alleviating traffic jams that can exist due to several reasons like bottleneck rate or interactive forces between the particles. We also analyze the special case of our model, when there are no forces exerted by neighboring particles, and called it as the ribosome flow model of extended objects with drop-off effect (RFMEOD), and study the sensitivity of its steady-state to variations in the parameters.

Funder

Science and Engineering Research Board

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference68 articles.

1. Motor Proteins and Molecular Motors

2. Piazzesi G, Lucii L, Lombardi V. The size and the speed of the working stroke of muscle myosin and its dependence on the force.

3. Obstacles on the microtubule reduce the processivity of Kinesin-1 in a minimal in vitro system and in cell extract;IA Telley;Biophysical journal,2009

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