Team:Aberdeen Scotland/Modeling

From 2014.igem.org

(Difference between revisions)
Line 73: Line 73:
<p>In order to verify and characterize our diagnostic system we created mathematical models for each individual component. Modeling and simulations were essential
<p>In order to verify and characterize our diagnostic system we created mathematical models for each individual component. Modeling and simulations were essential
techniques that guided our approach from design to completion. As the main point of interest in our system was inter-cellular communication and its optimization, we
techniques that guided our approach from design to completion. As the main point of interest in our system was inter-cellular communication and its optimization, we
-
employed ODEs and PDEs as our main mathematical tools.$$\beta$$</p>
+
employed ODEs and PDEs as our main mathematical tools.</p>
-
<img src="">
+
<h3>Quorum Sensing</h3>
-
<p></p>
+
<p>We developed a spacial model for analyzing Quorum Sensing between cells and then studied it under our system desired conditions. This gave us insight into how
-
</div>
+
best structure our assay.</p>
-
 
+
<h3>GFP Response</h3>
-
<div class="external">
+
<p>By simulating GFP response we made sure our system will react in a predictable manner and in an appropriate amount of time. We ensured that simulations agreed with
-
<p>You can find our official iGEM Registry Page <a href="http://igem.org/Team.cgi?year=2014&team_name=Aberdeen_Scotland">here</a>.</p>
+
data so that we can rely on reproducibility.</p>
 +
<h3>Assay Sensitivity</h3>
 +
<p>As with any other test, sensitivity is a main factor. The test needed to be sensitive enough to detect HAT, but also tolerant to noise, so that false-positives
 +
were minimized. We explored the process of antibody binding to make sure we meet those criteria.</p>
 +
<img src="http://2014.igem.org/wiki/images/9/9b/Results1.png">
</div> <br class="clear"> <!-- END OF PAGE CONTENT -->
</div> <br class="clear"> <!-- END OF PAGE CONTENT -->

Revision as of 15:20, 17 October 2014

Team:Aberdeen Scotland/Modelling - 2014.ogem.org



Modelling Aims


Purpose

In order to verify and characterize our diagnostic system we created mathematical models for each individual component. Modeling and simulations were essential techniques that guided our approach from design to completion. As the main point of interest in our system was inter-cellular communication and its optimization, we employed ODEs and PDEs as our main mathematical tools.

Quorum Sensing

We developed a spacial model for analyzing Quorum Sensing between cells and then studied it under our system desired conditions. This gave us insight into how best structure our assay.

GFP Response

By simulating GFP response we made sure our system will react in a predictable manner and in an appropriate amount of time. We ensured that simulations agreed with data so that we can rely on reproducibility.

Assay Sensitivity

As with any other test, sensitivity is a main factor. The test needed to be sensitive enough to detect HAT, but also tolerant to noise, so that false-positives were minimized. We explored the process of antibody binding to make sure we meet those criteria.