Difference between revisions of "Team:NUS Singapore/Overview"

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<p>The kill switch for BeeT uses our E2 chassis and the automated circuit design included in our modelling workflow, to Wageningen iGEM2016's biocontainment system. We make improvements to their kill switch by increasing the kill switch's specificity, increasing  efficiency, and employing a more effective killing mechanism using our chassis.</p>
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<p>To further demonstrate our workflow is applicable to other kill switch, here we used our modelling workflow to suggest improvement to the kill switch for BeeT, Wageningen iGEM2016's engineered bacteria. We make improvements to their kill switch by increasing the kill switch's specificity, increasing  efficiency, and employing a more effective killing mechanism using our approach. </p>
 
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Revision as of 00:52, 1 November 2017

Measurement Modelling Medal Check List
Team Member Attributions
Collaboration
Silver Up Gold Integrated
Overview Methodology Kill Switch for Probiotics Kill Switch for BeeT
Description Interlab Study Parts Experiment Documentation Improvement Demonstrate Safety Future Works
Home

Overview

We have carried out extensive modelling of various kill switch designs to study and gain insights into the behaviours of the designs. Here, you will find details about how we did it and the interesting results that we obtained!

Methodology

Methodology describes the process we use to develop each of our models. Here you can find information about the modelling principles, our equations and modelling workflow.

Kill switch for probiotics

The kill switch for probiotics is a successful proof of concept that demonstrates how our E2 chassis and modelling workflow make the engineering of customised killswitches for engineered probiotics easier. Using this model, our experimenters successfuly constructed the phosphate-temperature cascaded system with GFP reporter (BBa_K2447015). Here you can find the modelling workflow and modelling results that proves our design works!

Kill switch for BeeT

To further demonstrate our workflow is applicable to other kill switch, here we used our modelling workflow to suggest improvement to the kill switch for BeeT, Wageningen iGEM2016's engineered bacteria. We make improvements to their kill switch by increasing the kill switch's specificity, increasing efficiency, and employing a more effective killing mechanism using our approach.