# Team:BNU-China/Model

Team:BNU-CHINA - 2016.igem.org style = "font-family: Helvetica;"

In order to reach the goal of minimizing the average degradation rate of E.coli, i.e. the highest average expression level of our target gene, we chose to simulate the behaviors of individual E.coli by a segregated population competition model, furthermore used the method of cellular automaton, while incorporating several modulating model parts into steps of cell reproduction, to get the population of different E.coli at each time step.

To specify, we first distinguish the E.coli by their plasmid numbers, under the assumption that individual behaviors are alike within the group with the same plasmid numbers. Then, by getting the ribosome bind rate through mechanism model and the growth promoting effect through 3-dimensional random walk model, we adjusted the E.coli’s individual growth rate. Meanwhile, queue theory is used for exploring the relationship between intracellular plasmid number and target gene expression level. What’s more, a fall-off mechanism is incorporated by energy estimation, when considering the subsequent translation of glucose dehydrogenase, which serves as a growth promoter of E.coli.

After repeating the process of reproduction in a reasonable period of time, the population of E.coli with various plasmids can be simulated, therefore provide us with the population’s information as time goes on.