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.
2007
9781424418138
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/157304
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 2
social impact