Parameter inference in mechanistic models of cellular regulation and signalling pathways using gradient matching

Dondelinger, F., Rogers, S. , Filippone, M., Cretella, R., Palmer, T., Smith, R., Millar, A. and Husmeier, D. (2012) Parameter inference in mechanistic models of cellular regulation and signalling pathways using gradient matching. In: WCSB2012 - 9th International Workshop on Computational Systems Biology, Ulm, Germany, 4-6 Jun 2012,

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Abstract

A challenging problem in systems biology is parameter inference in mechanistic models of signalling pathways. In the present article, we investigate an approach based on gradient matching and nonparametric Bayesian modelling with Gaussian processes. We evaluate the method on two biological systems, related to the regulation of PIF4/5 in Arabidopsis thaliana, and the JAK/STAT signal transduction pathway.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Filippone, Dr Maurizio and Dondelinger, Mr Frank and Husmeier, Professor Dirk and Palmer, Dr Timothy and Rogers, Dr Simon
Authors: Dondelinger, F., Rogers, S., Filippone, M., Cretella, R., Palmer, T., Smith, R., Millar, A., and Husmeier, D.
College/School:College of Medical Veterinary and Life Sciences > Institute of Cardiovascular and Medical Sciences
College of Science and Engineering > School of Computing Science
College of Science and Engineering > School of Mathematics and Statistics > Statistics
Copyright Holders:Copyright © 2012 The Authors
Publisher Policy:Reproduced with the permission of the conference organisers

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
492721Theoretical modelling and predictive analysis of cytokine receptor signalling and its inhibitory regulation in vascular endothelial cellsTimothy PalmerBritish Heart Foundation (BHF)FS/08/070/25933RI CARDIOVASCULAR & MEDICAL SCIENCES