Difference between revisions of "Team:SEU/Contribution"

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                                   <div class="about-contentbox">
 
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                                           <h2>Model</h2>
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                                           <h2>Contribution</h2>
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                                          <h3>Computation method</h3>
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                                           <p style="font-size=36px">Through the comprehensive use of life science and information science knowledge, we have obtained the results of this experiment. In the whole process, we encountered many difficulties and challenges, but after careful thinking and practice, we finally successfully overcome these. In addition, we have also summarized some information that may be helpful to other teams, hoping to make some contributions to the iGEM community. </p>
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                                          <p >Addition: \(A_1 \xrightarrow{k_1} O,\quad A_2 \xrightarrow{k_2} O\)</p>
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                                           <p style="font-size=24px">Proof: \(\dfrac{d [A_i](t)}{d t}=-k_i[A_i](t)\) \(\Rightarrow [A_i](t)=[A_i](0)e^{-k_it}, \) \(\dfrac{d [O](t)}{d t}=\sum_{i=1}^2 k_i[A_i](t)\) \(\Rightarrow [O](\infty)=\int_0^\infty \sum_{i=1}^2 k_i[A_i](t)dt = [A_1](0)/k_1+[A_2](0)/k_2.\) If \(k_1\approx k_2\), then addition is successfully implemented.</p>
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                                           <p style="font-size=36px">1.We propose a computation model in molecular computing based on reaction kinetic analysis. </p>
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                                           <p style="font-size=24px">Subtraction: \(A+B \xrightarrow{k_1} \phi\)</p>
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                                           <center><a href="https://2019.igem.org/Team:SEU/Model" class="buttonContri">Model</a></center>
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                                           <p style="font-size=24px">Proof: It is identical with [1]. Apparently, \([A](t)=[B](t)+\Delta \). <br>If \(\Delta \neq 0\), \(\dfrac{d [A](t)}{d t}=-[A](t)([A](t)-\Delta)\) \(\Rightarrow [A](t)=\dfrac{[A](0)\Delta}{-[A](0)+[A](0)e^{\Delta t}+\Delta e^{\Delta t}} (\Delta \neq 0).\) If \(\Delta > 0\), \([A](\infty)=\Delta\). Otherwise \([A](\infty)=0\).
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                                          <br>If \(\Delta =0\), \([A](t)=\dfrac{[A](0)}{1+[A](0)t}\). \([A](\infty)=0\). Hence substraction is implemented.</p>
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                                           <p style="font-size=36px">2.Using such a model, we implement a neuron, the basic element of neural network.</p>
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                                           <p style="font-size=24px">Multiplication: \(\alpha \xrightarrow{k_1} \phi, A+B+\alpha \xrightarrow{k_2} A+B+\alpha+C\)</p>
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                                           <center><a href="https://2019.igem.org/Team:SEU/Demonstrate" class="buttonContri">Demonstrate</a></center>
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                                           <p style="font-size=24px">Proof: \(\dfrac{d [\alpha](t)}{d t}=-k_1[\alpha](t)\) \(\Rightarrow [\alpha](t)=[\alpha](0)e^{-k_1t},\) \(\dfrac{d [A](t)}{d t}=\dfrac{d [B](t)}{d t}=0, \dfrac{d [C](t)}{d t}=k_2[A](t)[B](t)[\alpha](t)\) \(\Rightarrow [C](\infty)=\int_0^\infty [A](0)[B](0)[\alpha](t)=k_2/k_1[\alpha](0)[A](0)[B](0)\). Hence multiplication is implemented.</p>
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                                          <h3>References</h3>
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                                           <p style="font-size=36px">3.To help with experiment, we develop a webpage tool which can generate DNA structures and sequences. Researchers can directly use such sequences to conduct experiments.</p>
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                                           <p>[1]C. Fang, Z. Shen, Z. Zhang, X. You and C. Zhang, "Synthesizing a Neuron Using Chemical Reactions," 2018 IEEE International Workshop on Signal Processing Systems (SiPS), Cape Town, 2018, pp. 187-192.</p>
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                                           <center><a href="https://2019.igem.org/Team:SEU/Software" class="buttonContri">Software</a></center>
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                                           <p>[2]M. Vasic, D. Soloveichik, S. Khurshid, "CRN++: Molecular Programming Language." arXiv preprint arXiv 1809.07430.</p>
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Revision as of 03:00, 3 October 2019





Contribution

Through the comprehensive use of life science and information science knowledge, we have obtained the results of this experiment. In the whole process, we encountered many difficulties and challenges, but after careful thinking and practice, we finally successfully overcome these. In addition, we have also summarized some information that may be helpful to other teams, hoping to make some contributions to the iGEM community.

1.We propose a computation model in molecular computing based on reaction kinetic analysis.

Model

2.Using such a model, we implement a neuron, the basic element of neural network.

Demonstrate

3.To help with experiment, we develop a webpage tool which can generate DNA structures and sequences. Researchers can directly use such sequences to conduct experiments.

Software