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A Stochastic Analysis of a Brownian Ratchet Model for Actin-Based Motility

Hong Qian1

Department of Applied Mathematics, University of Washington, Seattle, WA 98195

Molecular & Cellular Biomechanics 2004, 1(4), 267-278. https://doi.org/10.3970/mcb.2004.001.267

Abstract

In recent single-particle tracking (SPT) measurements on Listeria monocytogenes motility in cells [Kuo and McGrath (2000)], the actin-based stochastic dynamics of the bacterium movement has been analyzed statistically in terms of the mean-square displacement (MSD) of the trajectory. We present a stochastic analysis of a simplified polymerization Brownian ratchet (BR) model in which motions are limited by the bacterium movement. Analytical results are obtained and statistical data analyses are investigated. It is shown that the MSD of the stochastic bacterium movement is a monotonic quadratic function while the MSD for detrended trajectories is linear. Both the short-time relaxation and the long-time kinetics in terms the mean velocity and effective diffusion constant of the propelled bacterium are obtained from the MSD analysis. The MSD of the gap between actin tip and the bacterium exhibits an oscillatory behavior when there is a large resistant force from the bacterium. For comparison, a continuous diffusion formalism of the BR model with great analytical simplicity is also studied.

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Cite This Article

APA Style
Qian, H. (2004). A stochastic analysis of a brownian ratchet model for actin-based motility. Molecular & Cellular Biomechanics, 1(4), 267-278. https://doi.org/10.3970/mcb.2004.001.267
Vancouver Style
Qian H. A stochastic analysis of a brownian ratchet model for actin-based motility. Mol Cellular Biomechanics . 2004;1(4):267-278 https://doi.org/10.3970/mcb.2004.001.267
IEEE Style
H. Qian, “A Stochastic Analysis of a Brownian Ratchet Model for Actin-Based Motility,” Mol. Cellular Biomechanics , vol. 1, no. 4, pp. 267-278, 2004. https://doi.org/10.3970/mcb.2004.001.267



cc Copyright © 2004 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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