In this paper we study the state estimation problem for a basic model of gene expression. The model describes the interrelation between mRNA and protein within the transcription-translation process. Based on such generic dynamic model, we address the problem of estimating mRNA concentration by only measuring total protein concentration, and we propose a solution to it by means of different state estimation schemes, namely a nonlinear observer, an approximate linear observer and a hybrid extended Kalman filter. Finally, by means of in silico experiments, we compare the proposed structures using a model of the p53 gene network.
State observers for the estimation of mRNA and Protein dynamics
LILLACCI, GABRIELE;VALIGI, Paolo
2007
Abstract
In this paper we study the state estimation problem for a basic model of gene expression. The model describes the interrelation between mRNA and protein within the transcription-translation process. Based on such generic dynamic model, we address the problem of estimating mRNA concentration by only measuring total protein concentration, and we propose a solution to it by means of different state estimation schemes, namely a nonlinear observer, an approximate linear observer and a hybrid extended Kalman filter. Finally, by means of in silico experiments, we compare the proposed structures using a model of the p53 gene network.File in questo prodotto:
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