This model represents the first step towards studying the dynamics of gene regulation system in-silico. The model, when simulated with stochastic algorithms like Gillespie Algorithms or Gibson Algorithms, is in good agreement with experimental results. In addition, this model also provides valuable insight of how the binding efficiency of promoter affects the production of protein and stability of the system. Details on the model can be obtained from [1].
The model involves 11 molecular species and 10 reactions. The project file “LacZ.cwm” is provided in folder “/modelRepository/LacZ/”. Upon opening the project file, user will be able to see the model as shown in Figure 6-12.
Figure 6-12: LacZ Operon Gene Expression Model
The project file contains all the information necessary for simulating the model. Upon running the simulation, user will be able to see the results as shown in Figure 6-13. The figure shows results of protein production and RBS fluctuation in the system.
Figure 6-13: Results of Simulation on LacZ.cwm
Due to the low number of molecules in the system, the model can only be simulated using the stochastic algorithms like Gillespie Algorithms and Gibson Algorithms. User can modify the reaction kinetics in the reaction panels (figure 6-14) to compare the effects of each parameter on the behaviour of the system.
Figure 6-14: Changing the Reaction Kinetic Constant
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