Difference between revisions of "Team:UNebraska-Lincoln/Model"

Line 68: Line 68:
 
</section>
 
</section>
 
</html>
 
</html>
 +
{{UNebraska-Lincoln/footer}}

Revision as of 08:53, 31 October 2017

UNL 2017

Helping reduce methane emissions from livestock

Team Collaborations
Description Design Experiments Notebook InterLab Contribution Model Results Attributions
Parts Basic Parts Composite Parts
Safety
Silver HP Integrated and Gold

Modeling

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

To complete for the gold medal criterion #3, please describe your work on this page and fill out the description on your judging form. To achieve this medal criterion, you must convince the judges that your team has gained insight into your project from modeling. You may not convince the judges if your model does not have an effect on your project design or implementation.

Please see the 2017 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:

Works Cited

  • Anzaldi, L. L., and Skaar, E. P. (2010) Overcoming the Heme Paradox: Heme Toxicity and Tolerance in Bacterial Pathogens. Infection and Immunity 78, 4977–4989.
  • Bremer, H., and Dennis, P. P. (2008) Modulation of Chemical Composition and Other Parameters of the Cell at Different Exponential Growth Rates. EcoSal Plus 3.
  • Einsle, O., and Kroneck, P. (2007) Cytochrome c Nitrite Reductase from Wolinella succinogenes with bound substrate nitrite.
  • Hagen, S. J., Hofrichter, J., and Eaton, W. A. (1997) Rate of Intrachain Diffusion of Unfolded Cytochromec. The Journal of Physical Chemistry B 101, 2352–2365.
  • Janecky, L. R. (2013) Quantification of protein half-lives in the budding yeast proteome. Front Cell Infect Microbiol 3.
  • Kubitschek, H. E. (1990) Cell volume increase in Escherichia coli after shifts to richer media. Journal of Bacteriology 172, 94–101.
  • Liu, Y., and Montellano, P. R. O. D. (2000) Reaction Intermediates and Single Turnover Rate Constants for the Oxidation of Heme by Human Heme Oxygenase-1. Journal of Biological Chemistry 275, 5297–5307.
  • Runyen-Janecky, L. J. (2013) Role and regulation of heme iron acquisition in gram-negative pathogens. Frontiers in Cellular and Infection Microbiology 3.
  • Vogel, U., and Jensen, K. F. (1994) The RNA chain elongation rate in Escherichia coli depends on the growth rate. Journal of Bacteriology 176, 2807–2813.


Thanks to Our Sponsors