Data–driven modelling makes quantitative predictions regarding bacteria surface motility
Daniel L. Barton,
Yow-Ren Chang,
William Ducker
et al.
Abstract:In this work, we quantitatively compare computer simulations and existing cell tracking data of P. aeruginosa surface motility in order to analyse the underlying motility mechanism. We present a three dimensional twitching motility model, that simulates the extension, retraction and surface association of individual Type IV Pili (TFP), and is informed by recent experimental observations of TFP. Sensitivity analysis is implemented to minimise the number of model parameters, and quantitative estimates for the re… Show more
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