4.7 Article

A computational model for bacterial run-and-tumble motion

Journal

JOURNAL OF CHEMICAL PHYSICS
Volume 150, Issue 17, Pages -

Publisher

AMER INST PHYSICS
DOI: 10.1063/1.5085836

Keywords

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Funding

  1. Deutsche Forschungsgemeinschaft (DFG) [SPP 1726, HO1108/24-2, CRC 1313]
  2. single particle motion to collective behavior [HO1108/24-2, CRC 1313]
  3. Trans port und Deformation

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In this article we present a computational model for the simulation of self-propelled anisotropic bacteria. To this end we use a self propelled particle model and augment it with a statistical algorithm for the run-and-tumble motion. We derive an equation for the distribution of reorientations of the bacteria that we use to analyze the statistics of the random walk and that allows us to tune the behavior of our model to the characteristics of an E. coli bacterium. We validate our implementation in terms of a single swimmer and demonstrate that our model is capable of reproducing E. coli's run-and-tumble motion with excellent accuracy. Published under license by AIP Publishing.

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