Difference between revisions of "Team:GreatBay China/Model"

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                 <a class="long" href="https://2018.igem.org/Team:GreatBay_China/Applied_Design">Product Design</a>  
 
                 <a class="long" href="https://2018.igem.org/Team:GreatBay_China/Applied_Design">Product Design</a>  
 
                 <a href="https://2018.igem.org/Team:GreatBay_China/Hardware">Hardware</a>  
 
                 <a href="https://2018.igem.org/Team:GreatBay_China/Hardware">Hardware</a>  
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                 <a class="long" href="https://2018.igem.org/Team:GreatBay_China/Engagement">Public Engagement</a>  
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                 <a class="long" href="https://2018.igem.org/Team:GreatBay_China/Public_Engagement">Public Engagement</a>  
 
                  
 
                  
 
                  
 
                  
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       data-content="I mean... I haven't finished this yet.">
 
       data-content="I mean... I haven't finished this yet.">
 
   We   
 
   We   
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   </button>  built an ODE kinetics framework to model the mutualistic co-culture system of E.coli and S.cerevisiae we intended to use in our project, taking into account substrate utilization, product inhibitions and product formation involved in two species’ interactions. By recording the growth of the two engineered strains in co-culture and performing parameter sensitivity analyses, we were able to better interpret the behavior of the system.
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   </button>  built an ODE kinetics framework to model the mutualistic co-culture system of <i>E. coli</i> and <i>S. cerevisiae</i> we intended to use in our  
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In addition, we have also devised a model to analyze the relationship between E.coli’s geraniol production level and the copy number of the plasmid containing the two key enzymes for production, GES and GPPS, under the stabilization of different transcription activator-like effectors stabilized promoters(TALEsp) from our promoter library, so as to choose the desired combination for optimal geraniol production. The model can also be applied to choosing TALEsp for other situations involving tuning expressions of genes or maximizing down-stream production stabilized by TALEsp.</h4>  
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project, taking into account substrate utilization, product inhibitions and product formation involved in two species’ interactions. By recording  
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        </div>
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the growth of the two engineered strains in co-culture and performing parameter sensitivity analyses, we were able to better interpret the  
 +
behavior of the system.
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For detailed documentation of the model, download the pdf version <a
 +
href="https://static.igem.org/mediawiki/2018/6/6f/T--GreatBay_China--MODEL1.6.PDF">here. </a>
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Revision as of 21:41, 17 October 2018

GBC-Home


mCATNIP2018@outlook.com
@Igem2018C


Models

built an ODE kinetics framework to model the mutualistic co-culture system of E. coli and S. cerevisiae we intended to use in our project, taking into account substrate utilization, product inhibitions and product formation involved in two species’ interactions. By recording the growth of the two engineered strains in co-culture and performing parameter sensitivity analyses, we were able to better interpret the behavior of the system. For detailed documentation of the model, download the pdf version here.