Team:Dundee/Project/MathOverview

From 2013.igem.org

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           <h2 style="margin-top:-10px;"> PP1 Capacities </h2>
           <h2 style="margin-top:-10px;"> PP1 Capacities </h2>
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           <p> The mop models will firstly incorporate the production and transportation of PP1 in both <em>E. coli</em> and <em>Bacillus subtilis</em>. It will then extend to the interaction of the engineered bacterium with microcystin in the mop application with simulations. </p>
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           <p> The PP1 capacities of <i>E. coli</i> and <i>B. subtilis</i> were 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 capacitive potential to be a more efficient mop than <i>B. subtilis</i>. </p>
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           <h2 style="margin-top:-10px;"> Production & Export</h2>
           <h2 style="margin-top:-10px;"> Production & Export</h2>
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           <p>We developed a Production & Export model to help us predict the number of PP1 we could transport into the periplasm of our ToxiMop cells. The model allowed us to optimise the construction of our prototype ToxiMop.</p>
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            The fine details of the detector models are to be confirmed following further research.</p>
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           <h2 style="margin-top:-10px;"> Mop Simulation </h2>
           <h2 style="margin-top:-10px;"> Mop Simulation </h2>
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           <p>Visualisation tools investigating the biological processes which take place in the ToxiMop bacteria allow a user to alter the key properties of the transport mechanisms and provide instant feedback on the results of such changes.
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          We aim to produce some sort of simulation to help identify the issues of 24 hr detection systems against our planned machine.
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           <h2 style="margin-top:-10px;"> Detection Comparison</h2>
           <h2 style="margin-top:-10px;"> Detection Comparison</h2>
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           <p>With current detection methods, time delays between the sampling and obtaining of results induces an increase in the microcystin concentrations. Therefore, an effective biological detector must reduce the detection time. </p>
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            Develop a predictive model to be used in conjunction with octopus detecting machine for ToxiTweet. Octopus detecting machine modelling.</p>
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Revision as of 13:02, 2 October 2013

iGEM Dundee 2013 · ToxiMop

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PP1 Capacities

The PP1 capacities of E. coli and B. subtilis were investigated in order to determine which chassis could host the greatest number of PP1 molecules. This analysis indicated that E. coli has the capacitive 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 we could transport into the periplasm of our ToxiMop cells. The model allowed us to optimise the construction of our prototype ToxiMop.

Mop Simulation

Visualisation tools investigating the biological processes which take place in the ToxiMop bacteria allow a user to alter the key properties of the transport mechanisms and provide instant feedback on the results of such changes.

Detection Comparison

With current detection methods, time delays between the sampling and obtaining of results induces an increase in the microcystin concentrations. Therefore, an effective biological detector must reduce the detection time.