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Team:Purdue/Modeling
From 2012.igem.org
Modeling
Levels of Investigation
- How biofilm responds to shear, flow, temp, surface attachment, etc
- How Silica traps the particle during flow
- How Curli adheres and how OmpA-Silicatein Alpha polymerizes Silica/How the silica crystalizes (introduction of Salicylic Acid)
- How protien expression responds to external and metabolic variation (e.g. introduction of IPTG to system)
- How constructs work with each other/controls systems
- How RBS/ Promoter effects protein expression
Distribution of Modeling
Matlab
- Protein Production
- Feed Forward Loop Control Structure
TinkerCell
- Quorum sensing
- Feed Forward Loop
JMP
- Experimental Design and Characterization Experiments
Comsol/Other
- Waterflow and shear force on final system
- Silica formation
Design
- Desired Outcomes of Models
- Levels of Abstractions
- Biofilter response to Environmental conditions
- Shear
- Flow
- Temperature
- Abiotic Surface (Adhesion)
- Formation of Silica Matrix
- BioFilm Development
- Model of Bacterial Growth, Death, Breaking Off
- Expression of Proteins
- Response to addition of IPTG
- Optimal Production rate/expression of Curli and OmpA-Silicatein Alpha protiens
- Control Systems
- Fine Tuning of Protein Expression with RBS/Promoter combination variants
- Platforms
- Considerations and Assumption
- Parameters
Equations
The growth of the Biofilm can be modeled with modified continuous growth models. Traditional models of population growth make use of basic differential equations to measure the change in population over unit time. At the most fundamental level
| Population Change Rate = | dN | = rN(1-N/K) |
| dt | ||
Outcomes
| Parameter | Theoretical Value | Experimental Value | Analysis |
| Parameter 1 | ____ | ____ | ____ |
| Parameter 2 | ____ | ____ | ____ |
| Parameter 3 | ____ | ____ | ____ |
| Parameter 4 | ____ | ____ | ____ |
