Difference between revisions of "Team:Calgary/Model"

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<h2> Overview</h2>
 
<h2> Overview</h2>
<p> The goal of the modelling component of our project was to </p>
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<p> The goal of the modelling component of our project was to find optimal pathway for maximizing production of PHB in <i> E. coli</i>. Furthermore, the model will be used to simulate the reactions that occur in the bacteria after it is transformed with our <a srs=”https://2017.igem.org/Team:Calgary/Composite_Part”>construct</a>. After a detailed analysis and discussion with <a src=”https://2017.igem.org/Team:Calgary/HP/Gold_Integrated”>experts</a>, the team decided to pursue flux balance analysis (FBA) and kinetic modelling.</p>
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<h2> Analysis of various modelling methods </h2>
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<h4>Modelling Method: Flux balance analysis (FBA) </h4>
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<h4> Questions addressed by model</h4>
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<li> Can use maximization of PHB production as an objective function and determine the optimal steady-state flux distribution, then compare to what we observe in the lab.</li>
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<li> Can potentially compare PHB production between unmodified <i>E. coli</i> and <i>E. coli</i>  after genetic modifications</li>
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<li> Explore the capabilities and limitations of biochemical networks</li>
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<li> Analysis of metabolic network robustness</li>
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<li> Analysis of Genome-scale metabolic models</li>
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Revision as of 03:12, 1 November 2017

Header

Modelling

Overview

The goal of the modelling component of our project was to find optimal pathway for maximizing production of PHB in E. coli. Furthermore, the model will be used to simulate the reactions that occur in the bacteria after it is transformed with our construct. After a detailed analysis and discussion with experts, the team decided to pursue flux balance analysis (FBA) and kinetic modelling.

Analysis of various modelling methods

Modelling Method: Flux balance analysis (FBA)

Questions addressed by model

  • Can use maximization of PHB production as an objective function and determine the optimal steady-state flux distribution, then compare to what we observe in the lab.
  • Can potentially compare PHB production between unmodified E. coli and E. coli after genetic modifications
  • Explore the capabilities and limitations of biochemical networks
  • Analysis of metabolic network robustness
  • Analysis of Genome-scale metabolic models