Team:ETH Zurich/Modeling/Analysis
From 2011.igem.org
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- | The degradation rate of TetR does not influence the existence of the band and the amplitude of its peak. The GFP band seems to be present at all parameter values, however its position and width change in the region of low degradation rates, but it is completely robust at higher concentration values. | + | The degradation rate of TetR does not influence the existence of the band and the amplitude of its peak. The GFP band seems to be present at all parameter values, however its position and width change in the region of low degradation rates, but it is completely robust at higher concentration values. The CI degradation rate allows the band to appear only when its value is low, at higher rates the band formation is stopped. |
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|[[File:GG.png|thumb|400px|center|'''Figure 13''': Exploring the parameter space of GFP degradation rate]] | |[[File:GG.png|thumb|400px|center|'''Figure 13''': Exploring the parameter space of GFP degradation rate]] | ||
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+ | We notice that the amplitude of the GFP peak and the bandwidth exhibit positive correlation with respect to the LacI degradation rate. | ||
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Revision as of 23:57, 21 September 2011
System Analysis |
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We wanted to analyse the effect of the parameters on the output of our system. We achieved this by looking at how the characteristics of the GFP band change when we explore the parameter space of a certain constant and at the sensitivity of GFP to the value of the toxic input substance (acetaldehyde or xylene) . |
Parameter SweepsFor the parameters that belong to the band detector module, we explored their parameter spaces to quantify how they affect the features of the GFP band . As we varied each parameter (while keeping the rest constant), we varied also the acetaldehyde input and monitored the GFP output. We analyzed the parameter space only for the model that uses acetaldehyde as an input parameter. In both models the band is affected in the same way by the parameters of the band detector module. The sensor mechanism can only cause shifts in the band but the band detector module itself is unaffected by the input of the system. The parameter sweeps for the xylene model would therefore be similar to the acetaldehyde model, with differences only for the parameters involved in the sensor mechanism. The following figures show how the band changes with the variation of protein production rates, repression coefficients and degradation rates.
Protein Synthesis Rates
Repression Coefficients
Protein Degradation Rates
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Sensitivity AnalysisSensitivity analysis is a technique that studies the change of the output (or any observable) of a certain function with the variation of a certain parameter. It gives us an overview of how sensitive the model is with respect to the parameter, i.e. what the impact of the parameter is. The sensitivity is defined as the partial differential equation of the observable with respect to a certain parameter. We performed sensitivity analysis with respect to acetaldehyde or xylene. For different input concentrations we monitored the change in the GFP output (dGFP/dAcetaldehyde or dGFP/dXylene. For the acetaldehyde model, it can be seen from the figure below that the sensitivity is highest when GFP rises. For the peak itself (at [AA] = 1000uM), the sensitivity drops down and then rises again once GFP concentration starts decreasing. This tells us that the GFP concentration level is most sensitive to acetaldehyde at those concentrations where GFP rises and falls.
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