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<!-- Our text below, the above is left for now if someone wants to have those as reference --> | <!-- Our text below, the above is left for now if someone wants to have those as reference --> | ||
Modeling is an important part of synthetic biology. With good models, one can gain insight of the reaction before doing anything in the lab. By having a better understanding of the ideas that govern our project, we could see the influence of each compound in the reaction pathway and have a basis to make decisions that would have a long term impact in our results. Our project consisted of a few quite different parts, and that gave us a natural way to divide our modeling to four parts.
The main thing of our project was the production of propane with e. coli, so the main task was to model the propane pathway. For more information, see our page of modeling propane pathway.
One big concern in our project was the efficiency of propane production. To solve this problem we wanted to use micelles to hold enzymes together and speed up the reactions. We did a stochastic model of synergy with python.
Text about micelle formation here.
We produce propane from cellulose, so our modeling team also took a look into cellulose pathway.
