Metabolic engineering and synthetic biology in general are powerful areas of research, but they can only realize a quantum leap in breakthroughs when computational models involved in the Design-Build-Test-Learn engineering paradigm are standardized and implemented in the field. As part of our iGEM project, the models developed are motivated by different objectives and approaches in order to inform and be shaped by our endeavors in the lab.
Convince the judges that your project's design and/or implementation is based on insight you have gained from modeling. This could be either a new model you develop or the implementation of a model from a previous team. You must thoroughly document your model's contribution to your project on your team's wiki, including assumptions, relevant data, model results, and a clear explanation of your model that anyone can understand. The model should impact your project design in a meaningful way. Modeling may include, but is not limited to, deterministic, exploratory, molecular dynamic, and stochastic models. Teams may also explore the physical modeling of a single component within a system or utilize mathematical modeling for predicting function of a more complex device.
Please see the 2018 Medals Page for more information.
To compete for the Best Model prize, please describe your work on this page and also fill out the description on the judging form. Please note you can compete for both the gold medal criterion #3 and the best model prize with this page. You must also delete the message box on the top of this page to be eligible for the Best Model Prize.
For those interested in the code behind the implementation, please click here to access our GitHub repository!
Here are a few examples from previous teams:
