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| − | <h5 class="d-inline ml-3">CAU_China</h5> | + | <h5 class="d-inline ml-3">CAU_China</h5> |
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| | + | <a class="dropdown-item" href="https://2019.igem.org/Team:CAU_China/Method">Method</a> |
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| − | <li class="nav-item dropdown mx-3"> | + | |
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| | <a class="dropdown-item" href="https://2019.igem.org/Team:CAU_China/Public_Engagement">Education & Engagement</a> | | <a class="dropdown-item" href="https://2019.igem.org/Team:CAU_China/Public_Engagement">Education & Engagement</a> |
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| − | <a class="dropdown-item" href="https://2019.igem.org/Team:CAU_China/Model">Model</a> | + | <a class="dropdown-item" href="https://2019.igem.org/Team:CAU_China/Decision_Model">Decision Model</a> |
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| | </aside> | | </aside> |
| | </aside> | | </aside> |
| − | <main class="post-content"> | + | <main class="post-content"> |
| − | <h2>1 Decision Model</h2>
| + | <h1 class="text-center">Overview</h1> |
| − | <h3>1.1 Introduction</h3>
| + | |
| − | | + | |
| − | | + | <p> Our models are mainly used to help us design and predict the whole project . Firstly, to find out which pathway is worth to be constructed in our project, we conducted an AHP model, which is a decision model used in pre-project process. By using AHP, we decide to make an Astaxanthin pathway in E. coli. Secondly, in order to help experiment find the suitable experiment condition, we work out an Logistic Regression to predict the E.coli population. By doing this, we successfully find the most suitable experiment bacterial concentration. Finally, our team use System Dynamic Model(SDM) to control our pathway and predict the final product. With such a model, we can give the experiment designing process a huge inspiration. The total modeling project based on the sight that we have to use mathematic methods to help our project and surely we reach the goal! |
| − | <p> In our project, we develop a mathematical method to decide which pathway we could use because we have several candidates and need to conduct a scientific and rational method to find out the most suitable one. Therefore, an Analytic Hierarchy Process (AHP ) is performed. By doing so, we can combine our subjective and objective factors into consideration and finally get the one from candidates. </p> | + | </p> |
| − | <h3>1.2 Construct hierarchy model</h3>
| + | </div> |
| − | <p>To use the AHP model, we need to list our candidates first. Combining with our project design and references we have read, we finally select 3 candidate pathways, which are Astaxanthin pathway, Ginsenosides pathway1, and Cannabinoid pathway2 respective- ly. In addition, during our discussion and interviews with different expertise, we select 5 most critical criteria we need to consider. Thanks for our human practice working, we can finally determine the criteria we need to use in our AHP model.</p>
| + | |
| − | <p>By using 3 candidates and 5 criteria, the hierarchy model is established. (Figure 1)</p> | + | |
| − | | + | |
| | </div> | | </div> |
| − | </div>
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| − | <img src="https://2019.igem.org/wiki/images/9/9d/T--CAU_China--Mod1.png" style="width:450px;height:300px;margin-left: 35%;margin-top: 0%;" class="figure-img img-fluid rounded text-center" alt="A generic square placeholder image with rounded corners in a figure." >
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| − | <b style="margin-left: 50%;">Figure 1:</b> Hierarchy Model Structure
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| − | </div>
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| − | </div>
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| − | <h3>1.3 Construct Comparison Matrix</h3>
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| − | <p>After having the hierarchy structure, we further construct comparison matrix. When comparing the relative importance of the ith element to the jth element to the factor above, we use the quantified relative weight $a_{ij}$ to describe. Suppose there are a total of n elements to participate in the comparison, then matrix $ A={\{a_{ij}\}}_{n\times n}$ called comparison matrix. The value of $a_{ij}$ in the comparison matrix is assigned according to the following scale.</p>
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| − | | + | </main> |
| − | </div>
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| − | <div class="row" style="background-color: white;">
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| − | <div class="col-12">
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| − | <ul style="">
| + | |
| − | <li>$a_{ij}=1$ which implies that element $i$ and element $j$ have the same importance to the previous level factor.</li>
| + | |
| − | <li>$a_{ij}=3$ which implies that element $i$ is slightly more important than element $j$.</li>
| + | |
| − | <li>$a_{ij}=5$ which implies that element $i$ is more important than element $j$.</li>
| + | |
| − | <li>$a_{ij}=7$ which implies that element $i$ is much more important than element $j$.</li>
| + | |
| − | <li>$a_{ij}=9$ which implies that element $i$ is extremely more important than element $j$.</li>
| + | |
| − | <li>$a_{ij}=9$ which implies that element $i$ is extremely more important than element $j$.</li>
| + | |
| − | <li>$a_{ij}=2n, n=1,2,3,4$ which implies that the importance of the elements $i$ and $j$ is between $a_{ij}=2n-1$ and $a_{ij}=2n+1$.</li>
| + | |
| − | <li>$a_{ij}=\frac{1}{n}, n=1,2,\cdots,9,$ if and only if $a_{ij}=n$.</li>
| + | |
| − | </ul>
| + | |
| − | </div>
| + | |
| − | </div>
| + | |
| − | | + | |
| − | | + | |
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| − | <div id="phareferences" class="row">
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| − | <h3>References</h3>
| + | |
| − | <div class="col-12">
| + | |
| − | <ol>
| + | |
| − | | + | |
| − | <li id="ref_1"> <a href=>Dai, Z., Liu, Y., Zhang, X., Zhang, X., Shi, M., Wang, D., . . . Huang, L. (2013). Metabolic engineering of saccharomyces cerevisiae for production of ginsenosides. Metabolic Engineering, 20, 146-156. doi:10.1016/j.ymben.2013.10.004</a></li>
| + | |
| − | <li id="ref_2"> <a href=>Luo, X., Reiter, M. A., d'Espaux, L., Wong, J., Denby, C. M., Lechner, A., . . . Keasling, J. D. (2019). Complete biosynthesis of cannabinoids and their unnatural analogues in yeast. Nature, 567(7746), 123-126. doi:10.1038/s41586-019-0978-9</a></li>
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| − | | + | |
| − | </ol>
| + | |
| − | </div> | + | |
| | </div> | | </div> |
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| − | </main>
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| − | </div>
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| | <!----{{CAU_China/CSS/Footer}} ---> | | <!----{{CAU_China/CSS/Footer}} ---> |
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| | <div class="footer_address"> | | <div class="footer_address"> |
| | <h4>China Agricultural University</h4> | | <h4>China Agricultural University</h4> |
| − | <p>Tsinghua East Road 17#<br> | + | <p style="font-size: 14px">Tsinghua East Road 17#<br> |
| | Haidian District <br> | | Haidian District <br> |
| | Beijing 100083<br> | | Beijing 100083<br> |
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| | <h4>Registered in China </h4> | | <h4>Registered in China </h4> |
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| − | <p><a href="tel:+86(0)-6273 7682"><i class="fa fa-phone"></i> +86(0)-6273 7682 </a><br> | + | <p><a href="tel:+86(0)-6273 7682"style="font-size: 14px"><i class="fa fa-phone"></i> +86(0)-6273 7682 </a><br> |
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| − | <p>Follow us on: <a href="https://twitter.com/CollinsAero" target="_blank"><i class="fa fa-twitter" style="color: #55acee"></i> </a> <a href="https://mp.weixin.qq.com/s/Uti4lVH3ikfKt5vqaLG_AA" target="_blank"><i class="fa fa-wechat"></i> </a></p> | + | <p style="font-size: 14px">Follow us on: <a href="https://twitter.com/CollinsAero" target="_blank " style="padding: 0rem 0rem"><i class="fa fa-twitter" style="color: #55acee"></i> </a> <a href="https://mp.weixin.qq.com/s/Uti4lVH3ikfKt5vqaLG_AA" target="_blank "style="padding: 0rem 0rem"><i class="fa fa-wechat"></i> </a></p> |
| | </div> | | </div> |
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| Line 10,288: |
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| | <div class="footer-bottom"> | | <div class="footer-bottom"> |
| | <div class="row"> | | <div class="row"> |
| − | <div class="col-sm-7 col-md-6 "><a href="" target="_blank" class="ue1"> | + | <div class="col-sm-7 col-md-6 "><a href="" target="_blank" class="ue1" style="font-size:14px;padding: 0rem 0rem"> |
| | Copyright © | | Copyright © |
| | 2019 | | 2019 |
| − | CAU_ESPA. All rights reserved | | + | CAU_ESPA. All rights reserved | <a href="" target="_blank" class="ue1 "style="font-size:14px;padding: 0rem 0rem">Website Design by</a><a href="https://2019.igem.org/Team:CAU_China/Team" target="_blank" class="ue " style="font-size:14px;padding: 0rem 0rem"> Leland</a> |
| − | <a href="" target="_blank" class="ue1">Website Design by</a><a href="https://2019.igem.org/Team:CAU_China/Team" target="_blank" class="ue"> Leland</a> | + | |
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