We propose a notion of robustness for biochemical networks that, intuitively, measures the ability of the network to exhibit step-by-step limited variations on the concentration of a species of interest at varying of the initial concentration of other species. We provide a statistical technique allowing for estimating robustness and showcase it on the EnvZ/OmpR Osmoregulatory Signal System of E. coli.

Step-by-step Robustness for Biochemical Networks

Lanotte R.;Manicardi D.
;
Tini S.
2023-01-01

Abstract

We propose a notion of robustness for biochemical networks that, intuitively, measures the ability of the network to exhibit step-by-step limited variations on the concentration of a species of interest at varying of the initial concentration of other species. We provide a statistical technique allowing for estimating robustness and showcase it on the EnvZ/OmpR Osmoregulatory Signal System of E. coli.
2023
24th Italian Conference on Theoretical Computer Science
24th Italian Conference on Theoretical Computer Science, ICTCS 2023
Palermo, Italy
2023
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/11383/2165991
 Attenzione

L'Ateneo sottopone a validazione solo i file PDF allegati

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact