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Team:UC Davis/Signal Math
From 2014.igem.org
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Now our model has three unknown concentrations, but only one equation: <b>this is why we need three enzymes</b>. Now we consider the entire model:<br> | Now our model has three unknown concentrations, but only one equation: <b>this is why we need three enzymes</b>. Now we consider the entire model:<br> | ||
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| - | <p align="center"><img src="https://static.igem.org/mediawiki/2014/5/54/CatalyticMatrix.png" width="400px" style="margin-left:auto;margin-right:auto;border:1.5px solid #212f20;"/></p> | + | <p align="center"><img src="https://static.igem.org/mediawiki/2014/5/54/CatalyticMatrix.png" width="400px" style="margin-left:auto;margin-right:auto;border:1.5px solid #212f20;"/><b>To see how we tested our model, click <a href="https://2014.igem.org/Team:UC_Davis/Signal_Test" class="birghtlink">here</a>.</b></p> |
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Revision as of 02:37, 18 October 2014
To model our system, we first focused our attention on the linear range of our enzyme's Michaelis Menten plot. The linear range of this plot is governed by the above relationship. This was useful for describing single aldehydes, but olive oil contains many aldehydes and the enzymatic response is different for each one.
To describe this mathematically we started with the assumption that none of the substrates would induce competitive inhibition. If this was the case, the modeling would be simple. We would consider the observed velocity to be a linear combination of the three singular responses to aldehyde.
Now our model has three unknown concentrations, but only one equation: this is why we need three enzymes. Now we consider the entire model:
To see how we tested our model, click here.
