Ugander, Johan and Dunlop, Mary J. and Murray, Richard M. (2007) Analysis of a Digital Clock for Molecular Computing. In: 2007 American Control Conference. IEEE , Piscataway, NJ, pp. 1595-1599. ISBN 1-4244-0988-8. https://resolver.caltech.edu/CaltechAUTHORS:20170420-134616638
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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.
| Item Type: | Book Section | |||||||||
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| Additional Information: | © 2007 IEEE. Research supported in part by the Institute for Collaborative Biotechnologies through grant DAAD19-03-D-0004 from the U.S. Army Research Office. | |||||||||
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| DOI: | 10.1109/ACC.2007.4282583 | |||||||||
| Record Number: | CaltechAUTHORS:20170420-134616638 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20170420-134616638 | |||||||||
| Official Citation: | J. Ugander, M. J. Dunlop and R. M. Murray, "Analysis of a Digital Clock for Molecular Computing," 2007 American Control Conference, New York, NY, 2007, pp. 1595-1599. doi: 10.1109/ACC.2007.4282583 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 76784 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Kristin Buxton | |||||||||
| Deposited On: | 20 Apr 2017 20:57 | |||||||||
| Last Modified: | 15 Nov 2021 17:02 |
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