Team:Michigan/Modeling
From 2013.igem.org
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[https://docs.google.com/document/d/1PNIkP84ksvYOu-HDYZghVVDkhDlMX7Iz9T6sFZnmfr8/edit?usp=sharing Inducible Hbif Model (Link)] | [https://docs.google.com/document/d/1PNIkP84ksvYOu-HDYZghVVDkhDlMX7Iz9T6sFZnmfr8/edit?usp=sharing Inducible Hbif Model (Link)] |
Revision as of 23:19, 27 September 2013
Contents |
Overview
Model of Recombinase Expression
Model of the Switch
Model of Inducible Hbif
Introduction
switch modeling
• goals: produce both states of switch, use model to optimize switch
mass action modeling
• what is mass action
• pros of mass action modeling, i.e. why we used it
• form of mass action models/solvability doc
analytical modeling:
• benefits
• naturally standardized • given parameters, it precisely predicts behavior
• accurately predicts the data needed to determine parameters
• allows avoidance of numerical errors like rounding
• ERSESCO
• equation
• reduction
• solution
• equilibration
• stabilization
• calibration
• optimization
Expression Model
Equation:
Reduction: None
Solution:
Equilibration:
Stabilization:
Calibration:
Optimization:
Switch Model
Equation:
Reduction:
Solution:
Equilibration:
Stabilization:
Calibration:
Optimization:
Inducible Hbif Model
Equation:
Reduction:
Solution:
Equilibration:
Stabilization:
Calibration:
Optimization of Hbif:
Optimization of ON:
Future Directions
Data!
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