Award details

Nonlinear dynamical modelling of the cytokine network

Reference	MMI09771
Principal Investigator / Supervisor	Professor Robin Callard
Co-Investigators / Co-Supervisors	Professor Jaroslav Stark
Institution	University College London
Department	Institute of Child Health
Funding type	Research
Value (£)	150,450
Status	Completed
Type	Research Grant
Start date	01/10/1998
End date	01/10/2001
Duration	36 months

Abstract

Cytokines are small soluble proteins that act as messengers between cells. More than 100 cytokines and their receptors have been identified and shown to interact in a network that controls growth and differentiation of a variety of cellular systems. The cytokine network exhibits incredible complexity involving negative and positive feedback loops and a variety of nonlinear interactions. In this project, the tools of modern non-linear dynamics will be applied to develop and analyse models of the cytokine network that will complement the conventional experimental approach. The main focus will be on the part of the network that controls human T lymphocyte subset (Th1/Th2) differentiation taking into account the cytokines and cell surface signalling molecules involved. The model will be used to make predictions of the behaviour of the system which will be tested experimentally.

Summary

unavailable

Committee	Closed Committee - Engineering & Biological Systems (EBS)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	Mathematical Modelling Initiative (MMI) [1997]
Funding Scheme	X – not Funded via a specific Funding Scheme

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