Difference between revisions of "Team:UESTC-China/Model"

 
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   <ul class="f_mh mya" style="display:none;margin-left:5px">
 
   <ul class="f_mh mya" style="display:none;margin-left:5px">
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    <li class="active"><a href="#title_1">Degradation of CrpP enzyme system model</a></li>
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<li class="active"><a href="#title_1">Introduction</a></li>
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     <li ><a href="#title_2">Hardware model</a></li>
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     <li><a href="#title_2">Quorum sensing model</a></li>
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     <li ><a href="#title_3">Quorum sensing model</a></li>
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     <li><a href="#title_3">Degradation optimization model</a></li>
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     <li ><a href="#title_4">Optimization model of device layout</a></li>
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     <li><a href="#title_4">Device layout optimization model</a></li>
 
   </ul>
 
   </ul>
 
   <a href="#"> <img  class="up" src="https://static.igem.org/mediawiki/2019/7/7d/T--UESTC-China--up.png" alt="logo" width="100%" > </a>  
 
   <a href="#"> <img  class="up" src="https://static.igem.org/mediawiki/2019/7/7d/T--UESTC-China--up.png" alt="logo" width="100%" > </a>  
 
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<div class="part">
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<div class="bigtitle" id="title_1">Introduction</div>
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                <div class="picture">
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                <img src="https://static.igem.org/mediawiki/2019/d/d8/T--UESTC-China--model_new_1.png" alt="logo" width="70%">
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                </div>
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We combined modeling with experiments and human practice to make contributions to our project. For experiments, we established quorum sensing model and degradation optimization model. For human practice, we established the device layout model.
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                </div> <br>
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    <div class="part">
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<div class="bigtitle" id="title_2">
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Quorum sensing model
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</div>
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<div class="mainbody">
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To further understand, predict, and control the behavior of engineered microbial quorum sensing, we modeled the quorum sensing based on the entire process of CrpP enzyme's production and degradation.
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                </div><br>
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                <div class="mainbody">
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The model involves a wide range of biological and physical processes, such as diffusion, binding and so on. Through the establishment and solution of differential equations, we have used this model to predict the connection between the production of CrpP enzyme and the concentration of external AHL, which can help us find the optimal ratio of the detection bacteria and the degrading bacteria in order to save the cost of the device by using a smaller number of engineered bacteria to achieve greater CrpP production.
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                </div>
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                <div class="row mainbody">
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<a href="https://2019.igem.org/Team:UESTC-China/Model1" class="myclick">please click here to read the wiki of this model</a>
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                </div>
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       <div class="part">
 
       <div class="part">
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<div class="bigtitle" id="title_1">
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<div class="bigtitle" id="title_3">
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<a href="https://2019.igem.org/Team:UESTC-China/Model1">Degradation of CrpP enzyme system model</a>
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Degradation optimization model
 
</div>
 
</div>
 
   
 
   
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<div class="row mainbody" >
 
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<p>In order to find the optimal degradation conditions for CrpP enzyme, we found the main factors affecting the degradation rate from the paper.<br>
 
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Firstly, we used the Plackett-Burman design to screen factors and got the important factors. Secondly, the Box-Behnken design was used in the experimental design. According to the experimental results, the response surface equation was obtained. Finally, after obtaining the extreme value of the regression equation, it can be verified by experiments.</p>
 
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<a href="https://2019.igem.org/Team:UESTC-China/Model1" class="myclick">please click here to read more</a>
 
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</div>
 
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</div>
 
 
 
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  <div class="part">
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                <div class="mainbody">
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<div class="bigtitle" id="title_2">
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To further optimize our experiments, we found the factors affecting the degradation rate from papers. We designed a scheme which used the Plackett-Burman design to screen factors. We can get the key factors through experiments in the future. The Box-Behnken design will be used in the experimental design. According to the future experimental results, the response surface equation can be obtained. Then, we can find the optimal external influence factors (eg. PH, temperature) and increase the degradation rate to optimize our experiment. At present, we are working hard to get the experimental data. In the future, we will use our scheme to optimize our experiment and adjust our model with experimental data.
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<a href="https://2019.igem.org/Team:UESTC-China/Model2">Hardward</a>
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</div>
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<div class="row mainbody" >
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<p>In order to combine hardware with synthetic biology, we need to obtain the relationship between the concentration of ciprofloxacin and the corresponding voltage, and predict the voltage according to the concentration of ciprofloxacin. <br>
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        Considering the complexity of the mechanism of intracellular promoter, we analyzed it from a macro perspective. By establishing BP neural network and letting it constantly learn the concentration of ciprofloxacin and the corresponding voltage values we test, we continuously adjusted the input layer, the hidden layer. Finally, we can obtain the appropriate weights and the relationship between the voltage and the concentration of ciprofloxacin.</p>
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<a href="https://2019.igem.org/Team:UESTC-China/Model2" class="myclick">please click here to read more</a>
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</div>
 
</div>
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                <div class="row mainbody">
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                <a href="https://2019.igem.org/Team:UESTC-China/Model2" class="myclick">please click here to read the wiki of this model</a>
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                </div>
 
</div>
 
</div>
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    <div class="part">
 
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<div class="bigtitle" id="title_3">
 
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<a href="https://2019.igem.org/Team:UESTC-China/Model3">Quorum sensing model</a>
 
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</div>
 
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<div class="row mainbody" >
 
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<p>To further understand, predict, and control the behavior of engineered microbial group effect, we modeled the group effects based on the entire process of crpp enzyme production.<br>
 
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        The model involves a wide range of biological and physical processes, such as diffusion, binding and so on. Through the establishment and solution of differential equations, we can use this model to predict the relationship between the production of Crpp enzyme and the external concentration of AHL.</p>
 
−
<a href="https://2019.igem.org/Team:UESTC-China/Model3" class="myclick">please click here to read more</a>
 
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</div>
 
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    </div>
 
 
 
 
<div class="part">
 
<div class="part">
 
<div class="bigtitle" id="title_4">
 
<div class="bigtitle" id="title_4">
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<a href="https://2019.igem.org/Team:UESTC-China/Model4">Optimization model of device layout</a>
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Device layout optimization model
 
</div>
 
</div>
 
 
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<div class="row mainbody" style="text-indent: 50px;" >
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<div class="mainbody row">
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<p>We combined modeling with human practice and established the layout model of devices to provide a solution for human practice. Inspired by the placement of dustbins now, firstly we carried out the layout of the dustbin using the multi-objective programming model, and then carried out the layout of the device. Finally, we made the dustbin and the device as close as possible, thus increasing the probability of residents throwing expired drugs. The model reduced costs for our projects and increased the efficiency of processing expired drugs.</p>
+
<p>We combined modeling with human practice and established the layout model of devices to provide a solution for human practice. As we all know, for convenience, people hope to discard expired drugs while discarding garbage. So placing the device and the trash can as close as possible can increase the possibility of drugs recycling. Due to the expect that changing current situation of unscientific placement of trash cans, we carried out the layout of the trash cans by using the multi-objective programming model, and then worked out the layout of the device. Finally, we achieved our goal to use a minimum number of devices but the highest efficiency of drugs recycling.</p>
−
             <a href="https://2019.igem.org/Team:UESTC-China/Model4" class="myclick">please click here to read more</a>
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             <a href="https://2019.igem.org/Team:UESTC-China/Model3" class="myclick">please click here to read the wiki of this model</a>
 
</div>
 
</div>
 
</div>
 
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Latest revision as of 01:17, 22 October 2019

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logo
logo
Introduction
logo
We combined modeling with experiments and human practice to make contributions to our project. For experiments, we established quorum sensing model and degradation optimization model. For human practice, we established the device layout model.

Quorum sensing model
To further understand, predict, and control the behavior of engineered microbial quorum sensing, we modeled the quorum sensing based on the entire process of CrpP enzyme's production and degradation.

The model involves a wide range of biological and physical processes, such as diffusion, binding and so on. Through the establishment and solution of differential equations, we have used this model to predict the connection between the production of CrpP enzyme and the concentration of external AHL, which can help us find the optimal ratio of the detection bacteria and the degrading bacteria in order to save the cost of the device by using a smaller number of engineered bacteria to achieve greater CrpP production.
please click here to read the wiki of this model
Degradation optimization model
To further optimize our experiments, we found the factors affecting the degradation rate from papers. We designed a scheme which used the Plackett-Burman design to screen factors. We can get the key factors through experiments in the future. The Box-Behnken design will be used in the experimental design. According to the future experimental results, the response surface equation can be obtained. Then, we can find the optimal external influence factors (eg. PH, temperature) and increase the degradation rate to optimize our experiment. At present, we are working hard to get the experimental data. In the future, we will use our scheme to optimize our experiment and adjust our model with experimental data.
please click here to read the wiki of this model
Device layout optimization model

We combined modeling with human practice and established the layout model of devices to provide a solution for human practice. As we all know, for convenience, people hope to discard expired drugs while discarding garbage. So placing the device and the trash can as close as possible can increase the possibility of drugs recycling. Due to the expect that changing current situation of unscientific placement of trash cans, we carried out the layout of the trash cans by using the multi-objective programming model, and then worked out the layout of the device. Finally, we achieved our goal to use a minimum number of devices but the highest efficiency of drugs recycling.

please click here to read the wiki of this model
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