Difference between revisions of "Team:Manchester/Model/DoE"

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         <h2 style="margin-top: 70px"><font color="#000000">Phosphate Starvation Operon</font></h2>
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         <h2 style="margin-top: 70px"><font color="#000000">Design of Experiment</font></h2>
 
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<p><b>Achievements:</b></p>
 
<p><b>Achievements:</b></p>
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<p style="margin-left: 40px">1. Successful compilation of parameters and ODEs for modelling response of native and recombinant phosphate starvation (PHO) regulon</p>
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<p style="margin-left: 40px">1. </p>
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<p style="margin-left: 40px">2. Proved that the regulatory system response is sufficiently fast for fluctuating phosphate level</p>
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<p style="margin-left: 40px">2. </p>
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<p style="margin-left: 40px">3. Predicted that the regulatory system is efficient enough to keep microcompartment synthesis to minimal during long period of starvation, as required to be implemented in real world scenario</p>
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<p style="margin-left: 40px">3. </p>
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<p style="margin-left: 40px">4. Provided a framework for comparison of future experimental data</p>
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<p style="margin-left: 40px">4. </p>
  
 
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<p><b>Introduction</b></p>
 
<p><b>Introduction</b></p>
  
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<p>The synthesis of microcompartments creates a massive metabolic burden that makes the bacteria “sick” and is very detrimental to cell growth, as observed during our <a href="https://2017.igem.org/Team:Manchester/Notebook" target="_blank">experimental work</a>. This would ultimately interfere with the real-life implementation of our bacteria in a <a href="https://2017.igem.org/Team:Manchester/Model/Continuous_Culture" target="_blank">continuous culture system</a>.</p>
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<p>Some intro</p>
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<br>
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<p><b>Method</b></p>
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<p>Some screenshots or instruction of how to do it ("a list of input, etc")</p>
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<p><b>Results</b></p>
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<p>Some nice graphs as those already in the presentation. More if possible. Prove that the only few iterations needed to get high optimisation</p>
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<p><b>Conclusion</b></p>
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<p>That this is a technique that works and should be used</p>
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Revision as of 20:09, 29 October 2017

HOME
TEAM
PROJECT
Overview
Description
Results
Demonstration
Medal Criteria
Achievement
NOTEBOOK
Protocols
Diary
Lab Book
InterLab
Measurement
PARTS
Parts
Basic Parts
Composite Parts
Improved Parts
Part Collection
HUMAN PRACTICES
Silver HP
Water Industry
Integrated and Gold
Intellectual Property
Public Engagement
Entrepreneurship
MODELLING
Overview
D. O. Experiment
Continuous Culture
PHO Operon
JUDGING FORM

Design of Experiment

Achievements:

1.

2.

3.

4.


Introduction

Some intro

Method

Some screenshots or instruction of how to do it ("a list of input, etc")

Results

Some nice graphs as those already in the presentation. More if possible. Prove that the only few iterations needed to get high optimisation

Conclusion

That this is a technique that works and should be used