Difference between revisions of "Team:UMaryland/Model"

Line 647: Line 647:
 
 
 
$(window).load(function() {
 
$(window).load(function() {
 +
            $('body').css('opacity', '1');
 +
 
var marginTotal = $(window).outerWidth(true) - $('.titleText').outerWidth(false);
 
var marginTotal = $(window).outerWidth(true) - $('.titleText').outerWidth(false);
 
var marginLeft = marginTotal / 2;
 
var marginLeft = marginTotal / 2;
Line 665: Line 667:
 
}
 
}
 
})
 
})
−
            $('body').css('opacity', '1');
 
  
 
 

Revision as of 03:01, 18 October 2016

</div> </div> Human Practices

Modeling
Predicting Data and Optimizing Results
Applying engineering principals to biological systems

Modeling is crucial to designing biological systems such as ours, where we want both predictability and optimization of our organism. We used the SimBiology package in MatLab in order to model our multiple metabolic pathways using data gathered experimentally and from literature. We then optimized the parameters to determine what the optimal growth conditions of our organisms will be in order to most efficiently biosequester methane.

Pathways

Three different constructs were synthesized by UMaryland iGEM in hopes of being co-cultured. They were:

  • sMMO Construct: oxidizing methane into methanol using oxygen
  • Formate Construct: further oxidizing methanol into carbon dioxide using NADH
  • Fructose Construct: further oxidizing methanol into cellular metabolites

Parameters

Results