Team:CIDEB-UANL Mexico/Math-Conclusions

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<p><b>Thermonator III: The crop guardian</b></p>
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<p align="justify">Our deterministic model is the best option to represent our complete system because we assume that all the variables behave continuously and obey kinetic rules, in other words, we don´t take in account other variables that are going to disturb our system. Also, it is perfect to model our equations that represent the production of mRNA and proteins of cI, Vip3Ca3, and GFP of each respective part of our system and have something precise with the parameters we get and the graphics that represent the behavior of the concentration of the new substances produced by <i>E.Coli</i>. The probability equation is still in development but we are trying to figure out how the thermosensor can affect the protein translation process, besides the variable of temperature that controls our system. We have to understand that a Math model is never going to be a perfect representation, it tries making the closest prediction according to reality, by adding new variables and parameters, including noise and new equations have them be closer to being a better model.  Our math model is only deterministic , adding a stochastic part, like placing a weather variable (rainy or windy day), would make a closer to reality representation</p>
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<p align="justify">Our project is about a genetic engineered machine in E. coli with the ability to produce Vip3ca3 which acts as a pesticide protein. Vip3ca3 production will be regulated by specific temperatures in order to avoid overproduction and it will show activity against target organisms Coleoptera and Lepidoptera, which are related to a local problem concerning potato crops. The Vip3ca3 production is regulated with a constitutive promoter and a riboswitch that initiate translation around 32°C. Since we want to produce the Vip3ca3 below the 32°C, we use a set of promoter-repressors in order to invert the activation of the protein production. This model may be used as a regulator in future transgenic plant generations for the production of substances against plagues, avoiding pesticide overproduction, thus reducing the effect in Non-Target Organisms and bioaccumulation and can be used with different temperature ranges and/or different proteins to attack other target organisms.</p>
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<p align="justify"> This model is a way of understanding and making assumptions of how the actions and the behavior of the genetic system we introduced in the <i>E.Coli</i> genome as part of the experimentation process of our project.
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Latest revision as of 01:27, 22 June 2013

Math Model
Conclusion

Our deterministic model is the best option to represent our complete system because we assume that all the variables behave continuously and obey kinetic rules, in other words, we don´t take in account other variables that are going to disturb our system. Also, it is perfect to model our equations that represent the production of mRNA and proteins of cI, Vip3Ca3, and GFP of each respective part of our system and have something precise with the parameters we get and the graphics that represent the behavior of the concentration of the new substances produced by E.Coli. The probability equation is still in development but we are trying to figure out how the thermosensor can affect the protein translation process, besides the variable of temperature that controls our system. We have to understand that a Math model is never going to be a perfect representation, it tries making the closest prediction according to reality, by adding new variables and parameters, including noise and new equations have them be closer to being a better model. Our math model is only deterministic , adding a stochastic part, like placing a weather variable (rainy or windy day), would make a closer to reality representation

This model is a way of understanding and making assumptions of how the actions and the behavior of the genetic system we introduced in the E.Coli genome as part of the experimentation process of our project.

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