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Mathematical modelling in microbiology and metabolism

Reference	BBS/E/J/000C0620
Principal Investigator / Supervisor	Professor Martin Howard
Co-Investigators / Co-Supervisors
Institution	John Innes Centre
Department	John Innes Centre Department
Funding type	Research
Value (£)	314,514
Status	Completed
Type	Institute Project
Start date	01/07/2007
End date	31/03/2017
Duration	116 months

Abstract

The aim of this project is to use mathematical modelling to understand key processes in bacteria and also the dynamics of metabolism in plants. A particular interest has been modelling spatiotemporal protein dynamics inside individual bacterial cells, including the MinCDE system regulating cell division positioning in E. coli. Current work in this area focuses on the dynamics of the ParABC system regulating low copy number plasmid partitioning in E. coli, and on uncovering the dynamics of DivIVA regulating branch morphogenesis in Streptomyces. A further topic of current interest is the dynamics of starch metabolism in Arabidopsis. Techniques used include ordinary/partial differential equation models, often in the form of reaction-diffusion equations, as well as Langevin equations. Stochastic simulations are frequently employed, typically using Monte-Carlo methods. Close collaboration with experimental groups both at the John Innes Centre and elsewhere is a key element of our approach.

Summary

unavailable

Committee	Not funded via Committee
Research Topics	Microbiology, Plant Science, Systems Biology
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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