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Team:SCUT/Modeling/Diacetyl producer
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<h1>ODE pathway analysis</h1> | <h1>ODE pathway analysis</h1> | ||
<p class="text"><strong>Aim: </strong>To model the feasibility of the diacetyl producer pathway.<br> | <p class="text"><strong>Aim: </strong>To model the feasibility of the diacetyl producer pathway.<br> | ||
| - | <strong>Steps:</strong><ol class="word"> | + | <strong>Steps:</strong> |
| + | </p> | ||
| + | <ol class="word"> | ||
<li>Build up the equations</li> | <li>Build up the equations</li> | ||
<li>Investigate reasonable parameter sets from previous learning and researches</li> | <li>Investigate reasonable parameter sets from previous learning and researches</li> | ||
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<li>Simulation for diacetyl producer</li> | <li>Simulation for diacetyl producer</li> | ||
</ol> | </ol> | ||
| - | |||
<p class="text"><strong>Background:</strong><br>One of the most ambitious and challenging goals of metabolic engineering is the design of biological systems base on quantitative predictions with the aid of mathematical models. This is particularly because of the well-known difficulties in assessing enzyme kinetics under in vivo conditions as a prerequisite for a quantitative analysis of the reaction pathway. | <p class="text"><strong>Background:</strong><br>One of the most ambitious and challenging goals of metabolic engineering is the design of biological systems base on quantitative predictions with the aid of mathematical models. This is particularly because of the well-known difficulties in assessing enzyme kinetics under in vivo conditions as a prerequisite for a quantitative analysis of the reaction pathway. | ||
</p> | </p> | ||
Revision as of 12:58, 25 September 2013
Overview
Our pathway model for diacetyl producer consists of two parts: ODE pathway analysis and parameter sensitivity analysis. ODE pathway analysis is to examine the feasibility of our pathway. It is the foundation of model analysis.
Figure 1.
Figure 2.
ODE pathway analysis
Aim: To model the feasibility of the diacetyl producer pathway.
Steps:
- Build up the equations
- Investigate reasonable parameter sets from previous learning and researches
- Run the model and simulation
- Verify the feasibility of the pathway model
- Simulation for diacetyl producer
Background:
One of the most ambitious and challenging goals of metabolic engineering is the design of biological systems base on quantitative predictions with the aid of mathematical models. This is particularly because of the well-known difficulties in assessing enzyme kinetics under in vivo conditions as a prerequisite for a quantitative analysis of the reaction pathway.
Figure 3.
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