Difference between revisions of "Team:Manchester/Model"

 
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<body>
 
<body>
  
<div class="col-md-12" style="padding-top: 50px">
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<div class="clear"></div>
<h2 style="text-align: center">Modellingggggggggggggg</h2>
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<p>Something about us doing modelling and something more and more maybe something impressive about the modelling how it will make the project viable (or not) and then something like it will make you fly.</p>
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<div class="col-md-12 sectionfirst" style="background-color: #fbf9f8!important">
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<h2 class="border" style="margin-top: 5vh; text-align: center">Modelling</h2>
 
<br/>
 
<br/>
 
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<div class="col-md-12" style="padding-top: 50px; background-color: #fbf9f8!important">
<img title="click to go to modelling 1" src="https://static.igem.org/mediawiki/2017/8/80/T--Manchester--RecyclingPhosphorussymbol.png" />
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<div class="plan" style="background-color: #fbf9f8!important; padding: 0px 12vw">
<p style="text-align: center">blah blah blah this is modelling 1 (Design of Experiment!!!)</p>
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<p>We used modelling in three ways to inform different parts of the project:</p>
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<p style="margin-left: 40px">1. The statistical Design of Experiments (DoE) was used to design the most efficient experiments to determine the factors influencing the expression of our key enzyme. Two rounds of DoE enabled us to identify the optimal conditions for testing of our experimental system.</p>
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<p style="margin-left: 40px">2. Continuous culture modelling was used to predict the rate at which Phosphostore devices could be produced on different substrates. This allowed us to estimate the yearly cost of treating wastewater using phosphostore. As a result we performed a major re-design of the intended Phosphostore device, assessing the cost reduction potential of different growth conditions and experimental strategies by computational modelling.</p>
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<p style="margin-left: 40px">3. An innovative ensemble modelling approach was used to predict the behaviour of our recombinant phosphate starvation operon in addition to native PHO regulon as a regulatory system for controlling microcompartment synthesis. This helped us to choose the appropriate regulatory parts for our experimental design.</p>
 
</div>
 
</div>
 
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<img title="click to go to modelling 2" src="https://static.igem.org/mediawiki/2017/8/80/T--Manchester--RecyclingPhosphorussymbol.png" />
 
<p style="text-align: center">blah blah blah this is modelling 2 (Continuous Culture!!!)</p>
 
 
</div>
 
</div>
  
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<div class="col-md-12" style="padding: 10px 2vw; background-color: #fbf9f8!important">
<img title="click to go to modelling 3" src="https://static.igem.org/mediawiki/2017/8/80/T--Manchester--RecyclingPhosphorussymbol.png" />
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<p style="text-align: center">blah blah blah this is modelling 3 (Phosphate Starvation Operon!!!)</p>
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<div class="col-md-4"><div class="somemargin">
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<a href="https://2017.igem.org/Team:Manchester/Model/DoE"><img src="https://static.igem.org/mediawiki/2017/8/8d/T--Manchester--DOElogo.jpg" width="100%"/></a>
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<br>
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<p style="text-align: center" "font-size: 24px!important"><b>Design of Experiments</b></p>
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</div></div>
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<div class="col-md-4"><div class="somemargin">
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<a href="https://2017.igem.org/Team:Manchester/Model/Continuous_Culture"><img src="https://static.igem.org/mediawiki/2017/5/59/T--Manchester--Chemostat_logo.png"/></a>
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<br>
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<p style="text-align: center" "font-size: 24px!important"><b>Continuous Culture</b></p>
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</div></div>
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<div class="col-md-4"><div class="somemargin">
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<a href="https://2017.igem.org/Team:Manchester/Model/PSO"><img src="https://static.igem.org/mediawiki/2017/1/10/T--Manchester--Operon_logo.jpg" width="100%"/></a>
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<br>
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<p style="text-align: center" "font-size: 24px!important"><b>Phosphate Starvation Operon</b></p>
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</div></div>
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<div class="col-md-12" style="padding-top: 50px"></div>
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</div>
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</div>
  

Latest revision as of 18:44, 31 October 2017

Modelling


We used modelling in three ways to inform different parts of the project:

1. The statistical Design of Experiments (DoE) was used to design the most efficient experiments to determine the factors influencing the expression of our key enzyme. Two rounds of DoE enabled us to identify the optimal conditions for testing of our experimental system.

2. Continuous culture modelling was used to predict the rate at which Phosphostore devices could be produced on different substrates. This allowed us to estimate the yearly cost of treating wastewater using phosphostore. As a result we performed a major re-design of the intended Phosphostore device, assessing the cost reduction potential of different growth conditions and experimental strategies by computational modelling.

3. An innovative ensemble modelling approach was used to predict the behaviour of our recombinant phosphate starvation operon in addition to native PHO regulon as a regulatory system for controlling microcompartment synthesis. This helped us to choose the appropriate regulatory parts for our experimental design.


Design of Experiments


Continuous Culture


Phosphate Starvation Operon