Abstract
The control of synthetic genetic regulatory networks is an emerging engineering challenge. In this study, we propose a new synthetic genetic network that behaves as a digital clock, producing square waveform oscillations. We analyze two models of the network: a deterministic model based on Michaelis-Menten kinetics, as well as a stochastic model based on the Gillespie algorithm. Both models predict regions of oscillatory behavior; the deterministic model provides insight into the conditions required to produce the oscillating clock-like behavior, while the stochastic model is truer to natural dynamics. Intracellular stochasticity is seen to contribute phase noise to the oscillator, and we propose improvements for the network and discuss the conceptual foundations of these improvements.
Original language | English |
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Title of host publication | American Control Conference, 2007, vols 1-13 |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 2678-2682 |
ISBN (Print) | 1-4244-0988-8 |
DOIs | |
Publication status | Published - 2007 |
Event | American Control Conference, 2007 - New York, New York, NY, United States Duration: 2007 Jul 11 → 2007 Jul 13 Conference number: 26 |
Publication series
Name | |
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ISSN (Print) | 0743-1619 |
Conference
Conference | American Control Conference, 2007 |
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Abbreviated title | ACC´07 |
Country/Territory | United States |
City | New York, NY |
Period | 2007/07/11 → 2007/07/13 |
Subject classification (UKÄ)
- Control Engineering