A deterministic model for one-dimensional excluded flow with local interactions.

Natural phenomena frequently involve a very large number of interacting molecules moving in confined regions of space. Cellular transport by motor proteins is an example of such collective behavior. We derive a deterministic compartmental model for the unidirectional flow of particles along a one-di...

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Main Authors: Yoram Zarai, Michael Margaliot, Anatoly B Kolomeisky
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5552133?pdf=render
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spelling doaj-2f9237287e354308ae4207f296cc49ba2020-11-25T00:01:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01128e018207410.1371/journal.pone.0182074A deterministic model for one-dimensional excluded flow with local interactions.Yoram ZaraiMichael MargaliotAnatoly B KolomeiskyNatural phenomena frequently involve a very large number of interacting molecules moving in confined regions of space. Cellular transport by motor proteins is an example of such collective behavior. We derive a deterministic compartmental model for the unidirectional flow of particles along a one-dimensional lattice of sites with nearest-neighbor interactions between the particles. The flow between consecutive sites is governed by a "soft" simple exclusion principle and by attracting or repelling forces between neighboring particles. Using tools from contraction theory, we prove that the model admits a unique steady-state and that every trajectory converges to this steady-state. Analysis and simulations of the effect of the attracting and repelling forces on this steady-state highlight the crucial role that these forces may play in increasing the steady-state flow, and reveal that this increase stems from the alleviation of traffic jams along the lattice. Our theoretical analysis clarifies microscopic aspects of complex multi-particle dynamic processes.http://europepmc.org/articles/PMC5552133?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Yoram Zarai
Michael Margaliot
Anatoly B Kolomeisky
spellingShingle Yoram Zarai
Michael Margaliot
Anatoly B Kolomeisky
A deterministic model for one-dimensional excluded flow with local interactions.
PLoS ONE
author_facet Yoram Zarai
Michael Margaliot
Anatoly B Kolomeisky
author_sort Yoram Zarai
title A deterministic model for one-dimensional excluded flow with local interactions.
title_short A deterministic model for one-dimensional excluded flow with local interactions.
title_full A deterministic model for one-dimensional excluded flow with local interactions.
title_fullStr A deterministic model for one-dimensional excluded flow with local interactions.
title_full_unstemmed A deterministic model for one-dimensional excluded flow with local interactions.
title_sort deterministic model for one-dimensional excluded flow with local interactions.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description Natural phenomena frequently involve a very large number of interacting molecules moving in confined regions of space. Cellular transport by motor proteins is an example of such collective behavior. We derive a deterministic compartmental model for the unidirectional flow of particles along a one-dimensional lattice of sites with nearest-neighbor interactions between the particles. The flow between consecutive sites is governed by a "soft" simple exclusion principle and by attracting or repelling forces between neighboring particles. Using tools from contraction theory, we prove that the model admits a unique steady-state and that every trajectory converges to this steady-state. Analysis and simulations of the effect of the attracting and repelling forces on this steady-state highlight the crucial role that these forces may play in increasing the steady-state flow, and reveal that this increase stems from the alleviation of traffic jams along the lattice. Our theoretical analysis clarifies microscopic aspects of complex multi-particle dynamic processes.
url http://europepmc.org/articles/PMC5552133?pdf=render
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