Difference between revisions of "Team:BUAP Mexico/Model"

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<h1> Modeling</h1>
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<h1> Theoretical foundation: Toggle Switch</h1>
  
<p>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.</p>
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<p>The Toggle switch is one of the synthetic gene-regulatory network designed by Gardner, Cantor and collins at the beginning of 2000. This network was constructed using two repressors and two constitutive promoters and each promoter is inhibited by the repressor that is transcribed by the opposing promoter. Toggle switch shows bistability over a wide range of parameter values, this bistability arises from the mutually inhibitory arrangement of the genes repressors. In absence of inducers, two states are possible:
  
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First one: The promoter 1 transcribes repressor 2
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Second one: The promoter 2 transcribes repressor 1
  
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Switching is activated introducing an inducer in the environment which inactivate one of the currently active repressor. The inducer allows the opposing repressor to be maximally transcribed until it stably represses the originally active promoter.</p>
<h3> Gold Medal Criterion #3</h3>
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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.
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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.
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<p> Theoretically toggle design does not require any specialized promoters, whit this in mind we decided to use the Pyruvate Dehydrogenase Complex (pdh) promoter containing a site which is recognized by RNA polymerase and a binding site for pdh repressive protein combined with arcA gene and the ompW promoter containing a binding site for RNA polymerase and ArcA repressive protein combined with pdhR gene.
  
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The inducer to pdhR is the pyruvate and the inducer to arcA is the aerobic condition, in which arcB loses its kinase activity allowing the dephosphorylation of ArcA inactivating this protein and leading the gene expression.
<h3>Best Model Special Prize</h3>
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Furthermore curiously, in many bacteria the ArcA protein is activated not only in anaerobic conditions then is activated by the addition of H2O2 to the environment showing a response to oxidative stress, but this phenomenon have not been demonstrated in E. coli.</p>
To compete for the <a href="https://2019.igem.org/Judging/Awards">Best Model prize</a>, please describe your work on this page  and also fill out the description on the <a href="https://2019.igem.org/Judging/Judging_Form">judging form</a>. Please note you can compete for both the Gold Medal criterion #3 and the Best Model prize with this page.
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You must also delete the message box on the top of this page to be eligible for the Best Model Prize.
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<h2>Modeling</h2>
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<p>First, we are going to define the variables that we’ll use along the equations:
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Ktranscription (constant rate of transcription from DNA to mRNA)
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Ktranslation (constant rate of translation from mRNA to protein)
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γm (constant rate of degradation of mRNA)
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γp (constant rate of degradation of protein)
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KR (dissociation constant for a repressor)
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KI (dissociation constant for an inducer)
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N (Hill coefficient for a repressor)
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M (Hill coeffcient for an inducer)
 
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<h3> Inspiration </h3>
 
<h3> Inspiration </h3>
 
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Revision as of 01:54, 17 October 2019

Theoretical foundation: Toggle Switch

The Toggle switch is one of the synthetic gene-regulatory network designed by Gardner, Cantor and collins at the beginning of 2000. This network was constructed using two repressors and two constitutive promoters and each promoter is inhibited by the repressor that is transcribed by the opposing promoter. Toggle switch shows bistability over a wide range of parameter values, this bistability arises from the mutually inhibitory arrangement of the genes repressors. In absence of inducers, two states are possible: First one: The promoter 1 transcribes repressor 2 Second one: The promoter 2 transcribes repressor 1 Switching is activated introducing an inducer in the environment which inactivate one of the currently active repressor. The inducer allows the opposing repressor to be maximally transcribed until it stably represses the originally active promoter.

Theoretically toggle design does not require any specialized promoters, whit this in mind we decided to use the Pyruvate Dehydrogenase Complex (pdh) promoter containing a site which is recognized by RNA polymerase and a binding site for pdh repressive protein combined with arcA gene and the ompW promoter containing a binding site for RNA polymerase and ArcA repressive protein combined with pdhR gene. The inducer to pdhR is the pyruvate and the inducer to arcA is the aerobic condition, in which arcB loses its kinase activity allowing the dephosphorylation of ArcA inactivating this protein and leading the gene expression. Furthermore curiously, in many bacteria the ArcA protein is activated not only in anaerobic conditions then is activated by the addition of H2O2 to the environment showing a response to oxidative stress, but this phenomenon have not been demonstrated in E. coli.

Modeling

First, we are going to define the variables that we’ll use along the equations: Ktranscription (constant rate of transcription from DNA to mRNA) Ktranslation (constant rate of translation from mRNA to protein) γm (constant rate of degradation of mRNA) γp (constant rate of degradation of protein) KR (dissociation constant for a repressor) KI (dissociation constant for an inducer) N (Hill coefficient for a repressor) M (Hill coeffcient for an inducer)

Inspiration

Here are a few examples from previous teams: