Team:Colombia Uniandes/Parameters

From 2013.igem.org

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(Glucocorticoid sensor)
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In order to see which if the parameters had a significant effect in the signal response, we performed a Sensitivity analysis. For each parameter, we took the value found in the literature (or guessed value) and evaluated the model in a range that varied from one order of magnitude below to one order of magnitude greater. Depending on how much the response varied to each parameter the screening was planned.
In order to see which if the parameters had a significant effect in the signal response, we performed a Sensitivity analysis. For each parameter, we took the value found in the literature (or guessed value) and evaluated the model in a range that varied from one order of magnitude below to one order of magnitude greater. Depending on how much the response varied to each parameter the screening was planned.
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You can see the complete analysis here: [[File:Sensitivity.pdf|Full Document]]
 
After perfoming the analysis we found some parameters that had little effect on the desired response of the system. For example the destruction rate of Glucocorticoid inside the cell and the reverse kinetic constant for the formation of the complex:
After perfoming the analysis we found some parameters that had little effect on the desired response of the system. For example the destruction rate of Glucocorticoid inside the cell and the reverse kinetic constant for the formation of the complex:
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[[File:Nosens.png|left|950x700px]]  
[[File:Nosens.png|left|950x700px]]  
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You can see the complete analysis here: [[File:Sensitivity.pdf|Full Document]]
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Revision as of 12:50, 6 August 2013


Parameters

The second step in the deterministic model is to find the parameters that define the system. There are 3 possible ways to do this:

  1. Literature: Many of the genes that we use in iGEM have been characterised before, and the constants that model their behaviour have been found. Sometimes an exact value is not found, so we have to find at least the order of magnitude or a range where the parameter can be found
  2. Experiments: This is the most reliable way of knowing the parameters. But in our case we need the to perform de deterministic model first in order to see if the system works as expected in the lab. So the experimental way can only work to check if the parameters were correctly found.
  3. Screening: If the parameters we are looking of are not found in literature we proceed to perform a screening of parameters as described in Colombia 2012 Team Wiki

Below is shown how we found the parameters for both of the projects:

Glucocorticoid sensor

After performing the literature research for the parameters the following values were found:

ParamGC.png


Sensitivity Analysis

In order to see which if the parameters had a significant effect in the signal response, we performed a Sensitivity analysis. For each parameter, we took the value found in the literature (or guessed value) and evaluated the model in a range that varied from one order of magnitude below to one order of magnitude greater. Depending on how much the response varied to each parameter the screening was planned.


After perfoming the analysis we found some parameters that had little effect on the desired response of the system. For example the destruction rate of Glucocorticoid inside the cell and the reverse kinetic constant for the formation of the complex:

Nosens.png


You can see the complete analysis here: File:Sensitivity.pdf


Nickel removal system