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
3587
299
313
15
CEUR-WS
24th Italian Conference on Theoretical Computer Science, ICTCS 2023
Palermo, Italy
2023
contributo
Inglese
Behavioural distances; Biochemical networks; Robustness
no
Atti di Convegno::Relazione (in Volume)
none
273
info:eu-repo/semantics/conferenceObject
3
Lanotte, R.; Manicardi, D.; Tini, S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2165991
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