NetLogo Models Library:
This a multi-agent model of a genetic circuit in a bacterial cell and is an extension of the GenEvo 1 model. This model shows how biologists can use laboratory techniques to tweak certain aspects of a genetic circuit in order to affect the cell's behavior.
Synthetic biology allows biologists to design and test their own genetic circuits. For example, a biologist could design a genetic circuit that caused a bacterium to glow when it was placed in water with a high lead content. This kind of biological engineering is a new frontier being actively explored by scientists around the globe.
The genetic circuit modelled here has the following components:
The model explicitly incorporates transcription by showing the movement of RNA polymerases across DNA. It implicitly incorporates translation and does not incorporate mRNAs or ribosomes.
A user can select the promoter and RBS strengths, add ONPG (by making 'CONST-ONPG' ON) and run the model. The model simulates interactions between the components of the genetic circuit that results in an emergent cellular behavior. The cellular behavior of interest in this model is LacZ (beta-galactosidase) activity which can be observed in a graph and is also represented in the change in the color of the cell to yellow. Beta-galactosidase cleaves ONPG to produce an intensely yellow colored compound.
Select the promoter strength and RBS strength using the two choosers.
Press SETUP to initialize the components in the model.
Press GO to run the model.
You can use the RUN EXPERIMENT button to run experiments for a specified time duration (2500 ticks). This is useful for comparing the behavior of the cell in different simulations of the same conditions. You could also use this button to run a timed experiment for different initial conditions (e.g. different promoter and RBS strengths).
‘CONST-ONPG?’ is a switch which keeps ONPG concentration constant throughout the simulation. This switch can be used to emulate situations where ONPG concentration in the medium is excess and not a limiting factor.
Run the model with 'ONPG?' switch OFF. Notice the molecular interactions inside the cell - interaction of the LacI protein with the operator - RNAPs binding to promoter - RNAPs moving along the DNA - proteins being generated after an RNAP transcribes the DNA
Observe the same interactions when 'ONPG?' is ON.
Run the model with a set PROMOTER-STRENGTH and RBS-STRENGTH and observe changes in the scaled transcription and translation rates. Also, observe changes in the LacZ activity in the graph as well as in the simulation. Run it multiple times and observe the differences.
Change the PROMOTER-STRENGTH and RBS-STRENGTH combination and observe the behavior again.
See which combination has the most robust and optimum behavior.
Change the parameter values of LACI-BOND-LEAKAGE, ONPG-DEGRADATION-CHANCE, COMPLEX-SEPARATION-CHANCE, COMPLEX-FORMATION-CHANCE, and LACZ-DEGRADATION-CHANCE. Notice how these changes affects the behavior of the model.
If you mention this model or the NetLogo software in a publication, we ask that you include the citations below.
For the model itself:
Please cite the NetLogo software as:
To cite the GenEvo Systems Biology curriculum as a whole, please use:
Copyright 2016 Uri Wilensky.
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Commercial licenses are also available. To inquire about commercial licenses, please contact Uri Wilensky at email@example.com.