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Constrained optimisation of metabolic and signalling pathway models: towards an understanding of the language of cells

Reference	BB/C007158/1
Principal Investigator / Supervisor	Professor Douglas Kell
Co-Investigators / Co-Supervisors	Professor David Sidney Broomhead, Dr Martin Brown, Professor David Foster, Professor Joshua Knowles, Professor Stefano Panzeri, Professor Hong Wang, Professor Michael White
Institution	The University of Manchester
Department	Chemistry
Funding type	Research
Value (£)	353,608
Status	Completed
Type	Research Grant
Start date	01/07/2005
End date	31/08/2008
Duration	38 months

Abstract

By bringing together expertise in biology, control engineering, information theory and applied mathematics, we shall (a) improve our ability to effect system identification in models of biological pathways in which we know only variables and not parameters, and (b) be able to understand the chain of causality linking complex time series of data to downstream decisions about cell fate. This will be done by (i) developing a family of improved metrics for fitting models to data, including metrics based on information theory, (ii) using the methods of multi-objective optimisation to exploit such novel metrics, (iii) developing the link between the theories of dynamical systems and of communication channels. By exploiting single-cell time series data from the NF-kappaB signalling pathway, (iv) we shall be able to determine what it is that determines cell fate (apoptosis or proliferation) following the activation of this pathway.

Summary

unavailable

Committee	Closed Committee - Engineering & Biological Systems (EBS)
Research Topics	Systems Biology, Technology and Methods Development
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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