Difference between revisions of "Team:Manchester/Model"

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All the modelling and experimental work for mechanism 1 was done using Glucose and Glucose Oxidase (GOx) instead, this was due to laboratory limitations. This effects the modelling analysis in trying to predict things about alcohol which came from <a href="https://2016.igem.org/Team:Manchester/Human_Practices">human practices</a>. From human practices we also noticed glucose would have the same mechanism scheme,[link to hp] The equivalent analysis was done for glucose. Rerunning the analysis for alcohol would only require the change of some constants, so the analysis acts as a proof of concept and still shows the integration of human practices.
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Due to time constraints the modelling was based on an analogous system of Glucose and Glucose Oxidase (GOx) rather than Alcohol and AOx, this was chosen as the reaction network is the same and it links in with the suggestions by ***XXXXXYYYYYZZZZZ*** in the human practices that the design need not be limited for alcohol but could be used by diabetics, etc if used to detect other molecules in sweat.
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While the equivalent analysis was done for glucose. Rerunning the analysis for alcohol would only require the change of some constants, so the analysis acts as a sufficient proof of concept and still shows the integration of human practices.
 
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Revision as of 19:02, 16 October 2016

Manchester iGEM 2016
Modelling Banner

Welcome to our modelling section. We have used a novel ensemble modeling approach, to better aid the synergy between wetalb and dry lab teams. On this page you will find short answers to the questions; What is ensemble modelling? What did we model? what did our model achieve?

For navigating the wiki you need to know that the sections on results and human practice/lab integration can be accessed in the menu bar.

Part of what we hope to achieve with this ensemble methodology is a blueprint for other igem teams. As such each step in creating and using our model is laid out in the below diagram. Clicking on a specific step will take you to a page explaining the theory. Going deeper you can access a discussion of the code. There will be a link to the relevant parts of our github (a website storing our code) Use these codes as you wish.

Link to github homepage

Ross photo

Instead of running your model once with some specific parameters (for example rate constants.), you find all the possible parameters in literature and run your model for lots of combinations sampled in a clever way. By doing this you take take into account the uncertainty in the parameters. You will create probabilistic outputs allowing you to make rigorous conclusions.

Following through our flow diagram blueprint should make this concept clear.
Nick photo

We focused on modelling the cell free mechanism, see the experimental section for details. The short version is the AlcoPatch relies on Alcohol, Alcohol Oxidase (AOx), Horseradish Peroxidase (HRP) and ABTS which are mixed together making oxidised ABTS which is colourful. The ensemble modellingprocess will work for any model however and this was chosen as a simpler example to demonstrate the technique, focusing on the process rather than the system itself.

All the modeling and experimental work for mechanism 1 was done using Glucose and GOx instead, this was due to laboratory limitations. This effects the modelling analysis in trying to predict things about alcohol which came from human practices. The equivalent analysis was done for glucose. Rerunning the analysis for alcohol would only require the change of some constants, so the analysis acts as a proof of concept and still shows the integration of human practices.
Marc photo

Firstly we narrowed down the potential reaction schemes and increased our knowledge of our rate constants. Secondly we have created a blueprint for using ensemble modelling instead of simple ODE modelling in the hope that it can become standard practice for iGEM. MATT THIS WAS A PLACE HOLDER YOU ARE TO WRITE THIS AFTER THE RESULTS SECTION AS YOU WILL BE ABLE TO LINK BETWEEN THE TOO.

What were we modelling?

We focused on modelling the cell free mechanism, see the experimental section for details. The short version is the AlcoPatch relies on Alcohol, Alcohol Oxidase (AOx), Horseradish Peroxidase (HRP) and ABTS which are mixed together producing oxidised ABTS which is colourful. The ensemble modelling process will work for any model however and this was chosen as a simpler example to demonstrate the technique, focusing on the process rather than the system itself.

Due to time constraints the modelling was based on an analogous system of Glucose and Glucose Oxidase (GOx) rather than Alcohol and AOx, this was chosen as the reaction network is the same and it links in with the suggestions by ***XXXXXYYYYYZZZZZ*** in the human practices that the design need not be limited for alcohol but could be used by diabetics, etc if used to detect other molecules in sweat. While the equivalent analysis was done for glucose. Rerunning the analysis for alcohol would only require the change of some constants, so the analysis acts as a sufficient proof of concept and still shows the integration of human practices.

A schematic diagram of the final scheme is given below. For more information about the steps click on the blue enzyme boxes.

Reaction Network Diagram used in the modelling

(**********Box1 GOx**********)
(*********Box2 HRP**********)

Alternatively you can click on the enzyme name below:

Glucose Oxidase
Horseradish Peroxidase

What is Ensemble Modelling?

PLACEHOLDER

What did our model achieve?

PLACEHOLDER

We found great inspiration from our human practices and guidance working both ways to the experiments. Click here to see the detail.