Mathematical Model

For secretion peptides….

For our project we will model the rates of fluorescence at which our secretion peptides express in response to variations in nitrosative stress. For this, we will use the following equation for our mathematical model:

Where P1 represents the fluorescence of the secretion peptides and t the time; n is for the number of copies of mRNA, k1 expresses the specific rate of production per copy of mRNA and k2 represents the specific rate of secretion per unit of P1.

Our model allowed us to construct a graphic relation between the fluorescence of our secretion peptides and the different concentrations of nitrate. Experiments were made in continuous culture, in which we added different concentrations of nitrate (CONCENTRACIONES) until steady state was reached and we measured the fluorescence with a plate reader (MODELO, AÑO…). The continuous system served to establish the secretion efficiency.

In general, this model was used to see the role played by the different concentrations of nitrate and thus be able to design an optimized system to stimulate the production of our proteins of interest .

We obtained the follow data showed in Table X, in Figure X we present the resulting curve of the fluorescence vs. the concentration of nitrate.

Table X. Data obtained at (CONDICIONES) of the fluorescence of the secretion peptides

imagen de tabla

Figure X. Graphic of the fluorescence of the secretion peptides against different concentrations of nitrate at (CONDICIONES)

imagen de figura

Mathematical models and computer simulations provide a great way to describe the function and operation of BioBrick Parts and Devices. Synthetic Biology is an engineering discipline, and part of engineering is simulation and modeling to determine the behavior of your design before you build it. Designing and simulating can be iterated many times in a computer before moving to the lab. This award is for teams who build a model of their system and use it to inform system design or simulate expected behavior in conjunction with experiments in the wetlab.

Gold Medal Criterion #3

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.

Best Model Special Prize

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.

Inspiration

Here are a few examples from previous teams:

Team:TecMonterrey GDL/Model