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From 2012.igem.org

Modeling

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

Where r is the positive rate of growth, K is the positive carrying capacity of the environment, and N is the population level. This equation will eventually run to one of two steady state equilibria as the population either (A) approaches its carrying capacity [N = K] or runs to extinction [N=0].

Outcomes

Parameter	Theoretical Value	Experimental Value	Analysis
Parameter 1	____	____	____
Parameter 2	____	____	____
Parameter 3	____	____	____
Parameter 4	____	____	____