Quantifying the effect of interconnections on the steady states of biomolecular networks

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Interconnections of biomolecular networks result in new steady states, compared to isolated subsystems, due to the context-dependent effect of perturbations of subsystem 'local' parameters like total enzyme availabilities. This paper presents a new theoretical approach, and an algorithm derived from the approach, which allows the determination of the signs of global changes in steady states upon perturbation of parameters in individual subsystems.

Original languageEnglish (US)
Article number7040236
Pages (from-to)5419-5424
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume2015-February
Issue numberFebruary
DOIs
StatePublished - Jan 1 2014
Event2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 - Los Angeles, United States
Duration: Dec 15 2014Dec 17 2014

Fingerprint

Interconnection
Subsystem
Enzymes
Availability
Perturbation
Dependent
Context

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Control and Systems Engineering
  • Modeling and Simulation

Cite this

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title = "Quantifying the effect of interconnections on the steady states of biomolecular networks",
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Quantifying the effect of interconnections on the steady states of biomolecular networks. / Sontag, Eduardo.

In: Proceedings of the IEEE Conference on Decision and Control, Vol. 2015-February, No. February, 7040236, 01.01.2014, p. 5419-5424.

Research output: Contribution to journalConference article

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