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Team:UC Davis/Signal Processing
From 2014.igem.org
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<p>This was useful, but we needed to understand how the enzymes responded when multiple substrates were present. We started with a simple 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.</p><br> | <p>This was useful, but we needed to understand how the enzymes responded when multiple substrates were present. We started with a simple 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.</p><br> | ||
<div style="margin-left:auto;margin-right:auto;"> | <div style="margin-left:auto;margin-right:auto;"> | ||
| - | <img src="https://static.igem.org/mediawiki/2014/ | + | <img src="https://static.igem.org/mediawiki/2014/5/56/ThreeSubstrates.png" style="border:1.5px solid #212f20;"/></div> |
<p> | <p> | ||
To test our model we built a set of 64 difference combinations | To test our model we built a set of 64 difference combinations | ||
Revision as of 00:21, 18 October 2014
Signal Processing
To model our system, we first focused our attention on the linear range of each enzymes Michaelis Menten plot. The linear range of this plot is governed by the relationship:
This was useful, but we needed to understand how the enzymes responded when multiple substrates were present. We started with a simple 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.
To test our model we built a set of 64 difference combinations
