Related Experiment Video
Updated: Jul 17, 2026

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
Published on: January 31, 2014
Consequences of deterministic and stochastic modeling of a promoter
1Dept. of Electr. & Comput., Toronto Univ., Ont., Canada.
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.
Related Concept Videos
The Eukaryotic Promoter Region
The Eukaryotic Promoter Region
RNA Polymerase II Accessory Proteins
Operon Model
Chromatin Structure Regulates pre-mRNA Processing
The chromatin structure, especially...
Regulation of Expression at Multiple Steps

