DocumentCode
2735459
Title
Consequences of deterministic and stochastic modeling of a promoter
Author
Zhou, Z.H. ; Davies, S.W.
Author_Institution
Dept. of Electr. & Comput., Toronto Univ., Ont., Canada
Volume
2
fYear
2004
fDate
1-5 Sept. 2004
Firstpage
2873
Lastpage
2876
Abstract
For an engineered genetic oscillator, deterministic analysis indicates sustained oscillations and stochastic simulations show irregular or absent oscillations. Since the major difference is in the modeling of the promoters, we have performed a detailed analysis of a generic repressible promoter system. Deterministic, stochastic, thermodynamic, and hybrid models were developed for the promoter. The average behavior of the stochastic model converged to the thermodynamic model. The deterministic model is a special case of the thermodynamic model. The hybrid model could lock into the off state. Adding an unrelated background reaction allowed it to exit that state. Increasing the background rate allowed the hybrid model to converge to thermodynamic and stochastic model. Adding a background reaction to the stochastic oscillator simulation noticeably improved its performance.
Keywords
biocybernetics; cellular biophysics; genetics; molecular biophysics; oscillators; stochastic processes; deterministic modeling; engineered genetic oscillator; generic repressible promoter system; stochastic modeling; stochastic oscillator simulation; systems biology; thermodynamic model; Biological system modeling; Circuit simulation; Genetics; Oscillators; Proteins; RNA; Stochastic processes; Stochastic resonance; Switches; Thermodynamics; genetic networks; modeling; stochastic simulation; systems biology;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-8439-3
Type
conf
DOI
10.1109/IEMBS.2004.1403818
Filename
1403818
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