Modelling Stages Intention is to reduce simulation time without a loss of accuracy. Refinements in modelling techniques allow marked improvements to be made Each of these techniques is probabilistic, requiring multiple simulation runs to acquire an accurate set of data.
Model Purpose Recreate the work outlined in “Engineering Genetic Circuits” by Myers using non- specialist packages. Lay the groundwork for further biological modelling using these same packages. Open the field of biological modelling to an increased range of individuals.
Model ParameterisationSurface plot showing activity of a specific promoter at varying levels of expression oftwo proteins.Modelled in MATLAB to determine threshold values used to control expression in thefinite state machine.
ResultsResults from simulation of the Phage-λ stochastic Finite State Machine.Reasonable at low phage inputs, loses accuracy at higher initial concentrations.Likely to be caused by a combination of incorrectly chosen boundary conditions.
Model Limitations Explicit knowledge required for exact replication of real world. Assumptions may severely reduce accuracy or validity of results. More complex systems can still require excessive amounts of time to simulate.
Further Applications Genetic Disorders Congenital Disease Virology Studies