Modeling

Introduction

The modelling of synthetic biology systems is vital in the design of genetic circuits. To be able to construct sequences of increasing complexity – on the scale of the natural networks already present in the bacteria it is necessary develop satisfactory computational tools to predict and mimic the behaviour of the system. [1]
To predict the output of our genetic circuit (see Design) we created a single cell model for our circuit. The effect of transcription regulators on gene expression was assumed to follow Hill equation kinetics, with first order kinetics for the degradation of the proteins/enzymes formed. The models were created in MATLAB.

Phosphatase Amplification Circuit

**Insert photo of amplification circuit here** The positive feedback amplification circuit shown above was used in our study to obtain an amplified production of our gene of interest in presence of an inducing chemical. For more details on the parts used in the circuit please visit the Design page.

Deterministic Model

The deterministic model involves creating a series of differential equations which are solved simultaneously using certain initial conditions. The differential equations were obtained by performing a mass balance for each protein being expressed. For the transcriptional regulator (‘TR’): $$ \[ Rate\ of\ formation\ of\ TR\ through\ P1=\frac{V_{{max}_I}*{[I]}^{n_I}}{k_I^{n_I}+{[I]}^{n_I}} \] $$