Difference between revisions of "Team:UofUppsala"

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     <h5 class="card-title text-center">Computational modelling</h5>
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     <p class="card-text">Our modelling approach is two-fold, a python based stochastic model for expression of detection proteins and a molecular dynamics pipeline for modifying the nanobody component of our sensor.</p>
 
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   <a href="iGEM.bootstrap.html" class="card-footer text-center"> Read more </a>
 
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     <h5 class="card-title text-center">Outreach </h5>
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     <p class="card-text">Informed decision-making is the motto of our project. From early on,  we have been contacting experts and professors for their inputs. We have also organized education and collaborations programs directed to the iGEM community, but also to the general public.</p>
 
   </div>
 
   </div>
 
   <a href="iGEM.bootstrap.html" class="card-footer text-center"> Read more </a>
 
   <a href="iGEM.bootstrap.html" class="card-footer text-center"> Read more </a>
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   <img class="card-img-top" src="https://static.igem.org/mediawiki/2020/2/22/T--UofUppsala--question.svg" alt="Card image cap">
 
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     <h5 class="card-title text-center">Card title</h5>
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     <h5 class="card-title text-center">Team</h5>
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     <p class="card-text">We are the team of Uppsala University (Sweden) for the complicated year of 2020.  With different education backgrounds and from all over the world, we are 25 students that decided to enrol in the iGEM adventure.</p>
 
   </div>
 
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   <a href="iGEM.bootstrap.html" class="card-footer text-center"> Read more </a>
 
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Revision as of 12:00, 24 October 2020


Navigation Bar

Our project aims to create a cellular biosensor adaptable to detect your analytes of choice. Its design contains a sensory module, where nanobodies interact with the targets, activating the signal amplification module, which will result in an output signal visible to the naked eye. Placing this system in an easy-to-use format, we intend to offer a standardized, flexible and accessible detection system.

Card image cap
In the Lab

Parallelly to the development of our sensor, a lot of effort this year went to the “Development of Type IIS cloning standard”, which allows a higher degree of modularity for NANOFLEX.

Read more
Card image cap
Computational modelling

Our modelling approach is two-fold, a python based stochastic model for expression of detection proteins and a molecular dynamics pipeline for modifying the nanobody component of our sensor.

Read more
Card image cap
Outreach

Informed decision-making is the motto of our project. From early on, we have been contacting experts and professors for their inputs. We have also organized education and collaborations programs directed to the iGEM community, but also to the general public.

Read more
Card image cap
Team

We are the team of Uppsala University (Sweden) for the complicated year of 2020. With different education backgrounds and from all over the world, we are 25 students that decided to enrol in the iGEM adventure.

Read more