Quantitative modeling of Escherichia coli chemotactic motion in environments varying in space and time.
Escherichia coli chemotactic motion in spatiotemporally varying environments is studied by using a computational model based on a coarse-grained description of the intracellular signaling pathway dynamics. We find that the cell's chemotaxis drift velocity v(d) is a constant in an exponential at...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2010-04-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC2851563?pdf=render |