Negative feedback enables structurally signed steady-state influences in artificial biomolecular networks

Giulia Giordano, Elisa Franco

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

We examine the capacity of artificial biomolecular networks to respond to perturbations with structurally signed steady-state changes. We consider network architectures designed to balance their output production as a function of downstream demand: the species producing the output, called a source, up- or down-regulates its production rate as a function of the demand. Using an exact algorithm we show that, in certain negative feedback architectures, changes in the total source concentration cause structurally signed variations of the steady-state output concentration, regardless of reaction rate parameters. Conversely, positive feedback schemes can exhibit the same signed behaviour for reasonable (but not for arbitrary) values of the parameters. Numerical simulations demonstrate how the steady-state concentrations of different network architectures vary, responding to perturbations in total source amounts, consistently with our structural previsions.

Original languageEnglish
Title of host publication2016 IEEE 55th Conference on Decision and Control, CDC 2016
PublisherIEEE
Pages3369-3374
ISBN (Electronic)9781509018376
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States
Duration: 12 Dec 201614 Dec 2016

Conference

Conference55th IEEE Conference on Decision and Control, CDC 2016
Abbreviated titleCDC 2016
CountryUnited States
CityLas Vegas
Period12/12/1614/12/16

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  • Cite this

    Giordano, G., & Franco, E. (2016). Negative feedback enables structurally signed steady-state influences in artificial biomolecular networks. In 2016 IEEE 55th Conference on Decision and Control, CDC 2016 (pp. 3369-3374). [7798776] IEEE. https://doi.org/10.1109/CDC.2016.7798776