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,

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: Husmeier, Professor Dirk and Rogers, Dr Simon and Palmer, Dr Timothy and Filippone, Dr Maurizio and Dondelinger, Mr Frank
• 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 > School of Cardiovascular & Metabolic Health; 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

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
49272	1	Theoretical modelling and predictive analysis of cytokine receptor signalling and its inhibitory regulation in vascular endothelial cells	Timothy Palmer	British Heart Foundation (BHF)	FS/08/070/25933	RI CARDIOVASCULAR & MEDICAL SCIENCES