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Control Theory and Systems Biology$
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Pablo A. Iglesias and Brian P. Ingalls

Print publication date: 2009

Print ISBN-13: 9780262013345

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262013345.001.0001

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 22 September 2021

Identification of Biochemical Reaction Networks Using a Parameter-Free Coordinate System

Identification of Biochemical Reaction Networks Using a Parameter-Free Coordinate System

Chapter:
(p.297) 14 Identification of Biochemical Reaction Networks Using a Parameter-Free Coordinate System
Source:
Control Theory and Systems Biology
Author(s):

Dirk Fey

Rolf Findeisen

Eric Bullinger

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262013345.003.0014

This chapter proposes an observer-based parameter estimation methodology particularly suited for biochemical reaction networks in which the reaction kinetics is described by polynomial or rational functions. It describes the modeling of biochemical reaction networks and the model class considered. It reviews the existing parameter estimation techniques for these models. It uses the proposed methodology to model the mitogen-activated protein kinase (MAPK) cascade. This chapter clearly shows the applicability of the proposed parameter estimation method. This method performs a global parameter search and ensures a guaranteed convergence.

Keywords:   observer-based parameter estimation, biochemical reaction networks, mitogen-activated protein kinase, reaction kinetics, polynomial functions, rational functions

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