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
Link To Document :
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