|Reference : Identification of biochemical reaction networks using a parameter-free coordinate system|
|Parts of books : Contribution to collective works|
|Life sciences : Multidisciplinary, general & others|
Engineering, computing & technology : Multidisciplinary, general & others
|Identification of biochemical reaction networks using a parameter-free coordinate system|
|Fey, Dirk [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Méthodes computationnelles pour la biologie systémique >]|
|Findeisen, Rolf [> > > >]|
|Bullinger, Eric [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Méthodes computationnelles pour la biologie systémique >]|
|Control-Theoretic Approaches in Systems Biology|
|Iglesias, P. A.|
|[en] A fundamental step in systems biology is the estimation of kinetic parameters, such as association and dissociation constants. Often, their direct estimation from in-vivo studies on isolated reactions is expensive, time-consuming or even infeasible. Therefore, it is necessary to estimate them from indirect measurements, such as time-series data. This chapter proposes an observer-based parameter estimation methodology particularly suited for biochemical reaction networks in which the reaction kinetics are described by polynomial or rational functions. The parameter estimation is performed in three steps. First, the system is transformed into a new set of coordinates in which the system is parameter-free. This facilitates the design of a standard observer in the second step. Finally, the parameter estimates are obtained in a straight-forward way from the observer states, transforming them back to the original coordinates.
The approach is illustrated by an example of a MAP kinase signaling pathway.
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