Projects
Projects: Projects for Investigator |
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| Reference Number | BB/F003382/1 | |
| Title | SysMO: Systems Biology of Clostridium acetobutylicum - a possible answer to dwindling crude oil reserves. | |
| Status | Completed | |
| Energy Categories | Renewable Energy Sources(Bio-Energy, Production of other biomass-derived fuels (incl. Production from wastes)) 50%; Renewable Energy Sources(Bio-Energy, Production of transport biofuels (incl. Production from wastes)) 50%; |
|
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Prof J (John ) King No email address given Mathematical Sciences University of Nottingham |
|
| Award Type | Research Grant | |
| Funding Source | BBSRC | |
| Start Date | 03 April 2007 | |
| End Date | 02 April 2010 | |
| Duration | 36 months | |
| Total Grant Value | £260,304 | |
| Industrial Sectors | Manufacturing; Transport Systems and Vehicles | |
| Region | East Midlands | |
| Programme | Systems Biology of Microorganisms (SysMo) | |
| Investigators | Principal Investigator | Prof J (John ) King , Mathematical Sciences, University of Nottingham (100.000%) |
| Web Site | ||
| Objectives | This grant is linked to BB/F003390/1. |
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| Abstract | The current research forms part of a SysMO project on the systems biology of Clostridium acetobutylicum and is focussed on the development of multiscale mathematical models for key processes involved, namely: (1) intercellular signalling and quorum sensing; (2) the regulatory networks associated with solventogenesis and sporulation; (3) the effects of redox state and glycosylation on solventogenesis; (4) stress response during transition. The main focus will be on the development and analysis of deterministic (primarily ordinary-differential-equation) models describing the above processes; stochastic effects will also be considered where appropriate. These new models will be the subject of extensive numerical simulations, together with parametrisation using, and verification against, experimental data (including that from partner teams). They will also be subject to sensitivity analyses and studies using asymptotic and dynamical-systems approaches in order to enhance their predictive capacity and to maximise the intuition they provide into the complex hierarchies of network interactions that are possible. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 10/12/13 | |
