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Team:Dundee/Project/MathOverview
From 2013.igem.org
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<div class="span6" style="text-align:justify"> | <div class="span6" style="text-align:justify"> | ||
| - | <h2 style="margin-top:-10px;"> PP1 | + | <h2 style="margin-top:-10px;"> PP1 Packing </h2> |
| - | <p> The | + | <p> The capacity of <i>E. coli</i> and <i>B. subtilis</i> to pack PP1 was investigated in order to determine which chassis could host the greatest number of PP1 molecules. This analysis indicated that <i>E. coli</i> has the greater potential to be a more efficient mop than <i>B. subtilis</i>. </p> |
</div> | </div> | ||
<div class="span6" style="text-align:justify"> | <div class="span6" style="text-align:justify"> | ||
<h2 style="margin-top:-10px;"> Production & Export</h2> | <h2 style="margin-top:-10px;"> Production & Export</h2> | ||
| - | <p>We developed a Production & Export model to help us predict the number of PP1 | + | <p>We developed a Production & Export model to help us predict the number of PP1 that could be transported into the periplasm of our ToxiMop cells. The model allowed us to optimise the construction of our prototype ToxiMop.</p> |
</div> | </div> | ||
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<div class="span6" style="text-align:justify"> | <div class="span6" style="text-align:justify"> | ||
<h2 style="margin-top:-10px;"> Mop Simulation </h2> | <h2 style="margin-top:-10px;"> Mop Simulation </h2> | ||
| - | <p> | + | <p>We developed models and visualisation tools allowing the biological processes which take place in the ToxiMop bacteria to be investigated by a user. Dynamic alteration of key properties of the transport mechanisms provides instant feedback allowing analysis of the concomitant effects. |
</p> | </p> | ||
</div> | </div> | ||
<div class="span6" style="text-align:justify"> | <div class="span6" style="text-align:justify"> | ||
| - | <h2 style="margin-top:-10px;"> Detection | + | <h2 style="margin-top:-10px;"> Detection Time</h2> |
| - | <p> | + | <p>The problem with current detection methods is the processing time between sampling and availability of results. Potentially this could lead to significant increases in the microcystin concentrations before action is taken. Therefore, an effective biological detector must reduce this detection time. </p> |
</div> | </div> | ||
</div> | </div> | ||
Revision as of 09:45, 3 October 2013
Modelling Overview
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PP1 Packing
The capacity of E. coli and B. subtilis to pack PP1 was investigated in order to determine which chassis could host the greatest number of PP1 molecules. This analysis indicated that E. coli has the greater potential to be a more efficient mop than B. subtilis.
Production & Export
We developed a Production & Export model to help us predict the number of PP1 that could be transported into the periplasm of our ToxiMop cells. The model allowed us to optimise the construction of our prototype ToxiMop.
Mop Simulation
We developed models and visualisation tools allowing the biological processes which take place in the ToxiMop bacteria to be investigated by a user. Dynamic alteration of key properties of the transport mechanisms provides instant feedback allowing analysis of the concomitant effects.
Detection Time
The problem with current detection methods is the processing time between sampling and availability of results. Potentially this could lead to significant increases in the microcystin concentrations before action is taken. Therefore, an effective biological detector must reduce this detection time.
