Difference between revisions of "Team:Oxford/Model"

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<h1> Modeling</h1>
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<p>Mathematical models and computer simulations provide a great way to describe the function and operation of BioBrick Parts and Devices. Synthetic Biology is an engineering discipline, and part of engineering is simulation and modeling to determine the behavior of your design before you build it. Designing and simulating can be iterated many times in a computer before moving to the lab. This award is for teams who build a model of their system and use it to inform system design or simulate expected behavior in conjunction with experiments in the wetlab.</p>
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<h3> Gold Medal Criterion #3</h3>
 
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To complete for the gold medal criterion #3, please describe your work on this page and fill out the description on your <a href="https://2017.igem.org/Judging/Judging_Form">judging form</a>. To achieve this medal criterion, you must convince the judges that your team has gained insight into your project from modeling. You may not convince the judges if your model does not have an effect on your project design or implementation.
 
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Please see the <a href="https://2017.igem.org/Judging/Medals"> 2017 Medals Page</a> for more information.  
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<h3>Best Model Special Prize</h3>
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To compete for the <a href="https://2017.igem.org/Judging/Awards">Best Model prize</a>, please describe your work on this page  and also fill out the description on the <a href="https://2017.igem.org/Judging/Judging_Form">judging form</a>. Please note you can compete for both the gold medal criterion #3 and the best model prize with this page.
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You must also delete the message box on the top of this page to be eligible for the Best Model Prize.
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<h1>Modelling Overview</h1>
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<center><img class="img-responsive" width="200px;" src="https://static.igem.org/mediawiki/2017/1/1d/T--oxford--drylablogo.png"></center>
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<h5> Inspiration </h5>
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Here are a few examples from previous teams:
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<li><a href="https://2016.igem.org/Team:Manchester/Model">Manchester 2016</a></li>
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<li><a href="https://2016.igem.org/Team:TU_Delft/Model">TU Delft 2016  </li>
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<li><a href="https://2014.igem.org/Team:ETH_Zurich/modeling/overview">ETH Zurich 2014</a></li>
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<li><a href="https://2014.igem.org/Team:Waterloo/Math_Book">Waterloo 2014</a></li>
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<h2>Why did we model? What did we hope to achieve?</h2>
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<p>We generated mathematical models of our DNA-based system, our protein-based system, and the effects associated with the implementation of our diagnostic device on a human population. The aim of our models was to better understand our systems and improve them to become more feasible.</p>
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<p>We also created a software, which highlights the versatility of our device – by changing some of the DNA sequences (particularly the cleavage sites and output), our device can be used to detect various diseases. Our software aims to make it easier for other groups to use our diagnostic for other diseases.</p>
  
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<h2>What techniques did we use for modelling?</h2>
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<p> We employed numerous modelling techniques and equations to most accurately assess our systems. These include mass action and Michaelis-Menten kinetics, sensitivity analyses, parameter scans, stochastic modelling, and SIR and vector epidemiological modeling. Please follow the links below to see more detailed explanations of our models and to try out our software!</p>
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<h2>How is our model integrated with the rest of our project?</h2>
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<p> Our modelling was closely interlinked with the rest of our project: it greatly informed and was informed by our design, wet lab work, and human practices. For more detail, please look at the specific modelling pages!</p>
  
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Revision as of 20:33, 1 November 2017

Modelling Overview

Why did we model? What did we hope to achieve?

We generated mathematical models of our DNA-based system, our protein-based system, and the effects associated with the implementation of our diagnostic device on a human population. The aim of our models was to better understand our systems and improve them to become more feasible.

We also created a software, which highlights the versatility of our device – by changing some of the DNA sequences (particularly the cleavage sites and output), our device can be used to detect various diseases. Our software aims to make it easier for other groups to use our diagnostic for other diseases.

What techniques did we use for modelling?

We employed numerous modelling techniques and equations to most accurately assess our systems. These include mass action and Michaelis-Menten kinetics, sensitivity analyses, parameter scans, stochastic modelling, and SIR and vector epidemiological modeling. Please follow the links below to see more detailed explanations of our models and to try out our software!

How is our model integrated with the rest of our project?

Our modelling was closely interlinked with the rest of our project: it greatly informed and was informed by our design, wet lab work, and human practices. For more detail, please look at the specific modelling pages!