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Team:Calgary/Modelling/Results
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Revision as of 19:03, 21 October 2009
UNIVERSITY OF CALGARY
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MODELLING INDEX
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A TOUR OF THE UNIVERSITY OF CALGARY iGEM TEAM
We've reached modelling, the fifth stop on our tour! We've looked in to two different methods of modelling our system: Differential Equation Based Modelling and Membrane Computing. Here, you can explore the similarities and differences, as well as the functions of each method. As well, you can find the results of our characterization of the signalling pathway. Once you're done, we'll move on to the Second Life component of the project HERE. |
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DIFFERENTIAL EQUATIONS MODELLING RESULTS
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The Effect of Variation of AI-2 on the Production of GFP
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The Effect of Variation of LuxPQ on the Production of GFP
The following is the graph produced by our differential equation based model under five different levels of LuxPQ (1, 10, 100, 1000, 10000):
As one may notice, the green fluorescent protein (GFP) degradation rate remain relatively constant from one LuxPQ to 100 LuxPQ. This may be due to the amplifying effect of LuxPQ phosphatase activity. Since one LuxPQ have the potential to de-phosphorylate large amount of LuxU, having more LuxPQ around does not necessarily translate into faster de-phosphorylation of LuxU. Beyond 1,000 LuxPQ, however, the GFP degradation rate starts to fall. The reason behind this phenomenon could be that because the binding of AI-2 to LuxPQ is not 100%, not all of 1,000 LuxPQ are bound to 1,000 AI-2 molecules, leading to slower de-phosphorylation of LuxU. Having a slower de-phosphorylation rate of LuxU means that there are more than enough Luxu:pi and LuxO:pi to initiate the production of GFP, and therefore the degradation rate of GFP is slow or remain constant. |
