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Revision as of 15:45, 16 October 2018

The goal of the model is to study the Incoherent Feed Forward Loop (IFFL) as a network type in three systems that use different components critical to the proper network operation. This function aims at balancing the final product to a specific steady state, regardless of the input disruption. We then responded to questions raised by the wet lab, thus helping towards the right course of thought during experimental planning, as well as a better understanding of the systems and the different choices that emerged. We applied a sensitivity analysis to classify system parameters according to their significance, and finally, we explored the robustness of our system predictions by indentifying parameter sets and evaluating their cellular behavior.

How IFFL works

The stability of a system in which IFFL is applied is represented by the staying of its output at a constant level in the equilibrium state for each change of input. In this type of network, the number of plasmids is the input, which is variable and the final protein is the output of the system that must remain constant at each change of input.

In the following figure, the input X is shown to be responsible for the continuously increasing production of the gene of interest Z, as well as for the production of the internal variable Y, which suppresses the production of Z. As mentioned in [], the system is represented by a logical AND gate, which expresses the effect of input X and suppressor Y on output Z.