Team:UNOTT/Model

Modelling

When developing Key.Coli, we found it was important to mathematically model possible situations so we could investigate the effects of different situations we might encounter as well as representing every single chemical reaction which could expect.

This information was used by the wet lab to assist them by informing them in what to expect. This was done through the use of Python and Tellurium to create easy to read graphs.

The models weren't perfect as first: refinement from lab results helped to optimize and correct the models

Our aims when creating the models were the following:

  1. To assist the processes within the Wet Lab by informing them and allowing for simulations. This would be especially useful when predicting the required fluorescence
  2. Test our biological systems with conditions that might not be possible to replicate in a lab environment. This allows us to future proof our methods as well as identify any vulnerabilities

Single gene expressing protein and protein undergoing degradation

Using the Law of Mass Action and assuming there is no radioactive decay

Signal Dependent Expression

Where S is Signal Dependent and Ko is a low basal expression

Relationship between Fluorescent Intensity and GFP Intensity

CHANGE IT TRANSFORMED INSTEAD OF INFECTED. Reference:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4430915/