Difference between revisions of "Team:Minnesota/Modeling"

 
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<h1>Attributions</h1><br>
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<h1> 2A Viral Tag Modeling for Biosynthesis </h1><br>
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<i> &nbsp; &nbsp; &nbsp; &nbsp;  Building a 2A eukaryotic biochemical network can be hard, and these viral tags are not without a drawback. Previous research (Beekwilder 2014) has shown there was a decreased level of expression of enzymes downstream of the promoter. This can certainly affect the overall yield of the pathway, but we can certainly minimize this effect!
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<b><font size="4"> Insulin: Basic Background </font></b><br>
 
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<i><u><font size="3">• </font>What is the role of Insulin in the Human body?</u></i>
 
 
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&nbsp; &nbsp; &nbsp; Insulin is a hormone produced by the pancreas that removes glucose from the blood. In healthy individuals, excess glucose is readily removed from the blood stream by a proportional production of insulin. In persons with diabetes mellitus however; the body is either resistant to insulin, or it has a reduced capacity to produce insulin. Those individuals require an external source of insulin.
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&nbsp; &nbsp; &nbsp; &nbsp; We have designed a computation tool to combinatorically test all available rearrangements of your biochemical network and display the ideal ordering of your network to optimize reaction efficiency. The model utilizes the heavily studied kinetics of enzymes and implements their behavior in a differential equations model. This is nested within a permutation loop to test all possible orderings.
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<center><i> To prove how easy it is to use, we even redesigned three 2014 iGEM teams circuits for how they would be optimally arranged in eukaryotic 2A systems! </center></i><br><br>
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<center> <b> 2014 Arizona State Pyruvate to Fatty Acid Ethyl Esters </b></center><br>
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<center> Promoter -> pyruvate dehydrogenase (1st)-> Long-chain acyl-ACP reductase (2nd) -> Alcohol dehydrogenase (3rd) -> Long-chain-fatty-acid-CoA ligase EC (4th) </center><br><br>
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<center> <b> 2014 BYU Denitrification </b></center><br>
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<center> Promoter -> Nitrite reductase (1st) -> Nitrous-oxide reductase (2nd) -> Nitric Oxide reductase (3rd) ></center><br><br>
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<center> <b> 2014UIUC caffeine degradation for dogs </b></center><br>
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Promoter -> 7-methylxanthine demethylase (1st)-> Methylxanthine N1-demethylase (2nd) -> Methylxanthine N1-demethylase (3rd) ></center><br><br><br>
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&nbsp; &nbsp; &nbsp; &nbsp; To emphasize the portability of this tool, the system was designed in MATLAB and embedded in a graphical user interface (GUI). If you want to test this tool out or use it to optimize your own experiments, head on over to:
  
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<i><u><font size="3">• </font>Why are we expressing human Insulin?</u></i>
 
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&nbsp; &nbsp; &nbsp; The ability to produce recombinant human Insulin cheaply has long been a lucrative goal. There are millions of people worldwide who are dependent on Insulin derived from production methods that make the product expensive -and further yet- potentially dangerous.Our team thinks that the current production methods for human Insulin are inefficient and can be optimized by being expressed in Pichia pastoris.
 
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<br><br><center>https://github.com/PatrickHolec/Pathway2A</center><br>
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<center>or contact:</center><br>
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<center>Patrick V. Holec</center>
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<center>hole0077@umn.edu</center>
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<center>University of Minnesota</center><br>
  
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Latest revision as of 03:52, 19 September 2015

Team:Minnesota/Project/Insulin - 2015.igem.org

 

Team:Minnesota/Project/Insulin

From 2015.igem.org

Team:Minnesota - Main Style Template Team:Minnesota - Template

2A Viral Tag Modeling for Biosynthesis


        Building a 2A eukaryotic biochemical network can be hard, and these viral tags are not without a drawback. Previous research (Beekwilder 2014) has shown there was a decreased level of expression of enzymes downstream of the promoter. This can certainly affect the overall yield of the pathway, but we can certainly minimize this effect!


        We have designed a computation tool to combinatorically test all available rearrangements of your biochemical network and display the ideal ordering of your network to optimize reaction efficiency. The model utilizes the heavily studied kinetics of enzymes and implements their behavior in a differential equations model. This is nested within a permutation loop to test all possible orderings.


To prove how easy it is to use, we even redesigned three 2014 iGEM teams circuits for how they would be optimally arranged in eukaryotic 2A systems!


2014 Arizona State Pyruvate to Fatty Acid Ethyl Esters

Promoter -> pyruvate dehydrogenase (1st)-> Long-chain acyl-ACP reductase (2nd) -> Alcohol dehydrogenase (3rd) -> Long-chain-fatty-acid-CoA ligase EC (4th)


2014 BYU Denitrification

Promoter -> Nitrite reductase (1st) -> Nitrous-oxide reductase (2nd) -> Nitric Oxide reductase (3rd) >


2014UIUC caffeine degradation for dogs

Promoter -> 7-methylxanthine demethylase (1st)-> Methylxanthine N1-demethylase (2nd) -> Methylxanthine N1-demethylase (3rd) >


        To emphasize the portability of this tool, the system was designed in MATLAB and embedded in a graphical user interface (GUI). If you want to test this tool out or use it to optimize your own experiments, head on over to:

https://github.com/PatrickHolec/Pathway2A

or contact:

Patrick V. Holec
hole0077@umn.edu
University of Minnesota


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