Difference between revisions of "Team:SEU/Composite Part"

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<h3>★  ALERT! </h3>
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<p>This page is used by the judges to evaluate your team for the <a href="https://2019.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2019.igem.org/Judging/Awards"> award listed below</a>. </p>
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<p> Delete this box in order to be evaluated for this medal criterion and/or award. See more information at <a href="https://2019.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
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  <li class='has-sub'><a href='https://2019.igem.org/Team:SEU'><span>Home</span></a></li>
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  <li class="active"><a href='https://2019.igem.org/Team:SEU/Parts'><span>PARTS</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Parts'><span>Parts Overview</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Basic_Part'><span>Basic Parts</span></a>
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<li class="active"><a href='https://2019.igem.org/Team:SEU/Composite_Part'><span>Composite Parts</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Part_Collection'><span>Part Collection</span></a>
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<li class='has-sub'><a href='https://2019.igem.org/Team:SEU/Public_Engagement'><span>Education & Engagement</span></a>
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</ul>
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<li><a href="https://igem.org/2019_Judging_Form?team=SEU"><span>JUDGING FORM</span></a>
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              <h1 class="entry-title">Composite Parts</h1>
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              <h2>Composite Parts</h2>
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              <p>This project is based on one of our previously published article [1]. Artificial intelligence is one prevailing research field in recent years, but most of the implementations are on traditional silicon-based computers or chips. Is it possible to use biochemical materials to implement such systems? Our previous paper provides one possible method, but it is validated by only simulations. In this project, we aim to implement such a system in wet experiments. Also, to aid the design of such systems, we will develop a small software to automatically generate required DNA topological structures. </p>
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              <p></p>
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              <p>In our system, the concentrations of some input DNA species will be regarded as the input to the neural network. Some mathematical calculations are performed in solutions (weighted summation, activation, etc.) and the output of the neural network is the concentration of some certain DNA strands, similarly. </p>
 +
              <p></p>
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              <p>There are various possible applications of this technology. For example, as it utilizes only DNA, a type of bio-friendly material, with small modifications it may be integrated to other biosystems to create biochemistry robots.</p>
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              <p><a class="example-image-link" href="images/kids1.jpg" data-lightbox="example-set" data-title="Click the right half of the image to move forward."><img class="example-image" src="images/temp.jpg" alt=""/></a></p>
  
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              <h2>Else</h2>
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              <p>DNA strands have been proved a powerful medium to perform computation. Previous researches [2], [3] have shown some interesting applicatoins of such materials, which implemented a "probabilistic switch" and a pattern recognition machine, respectively.</p>
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              <p></p>
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              <p>In this project, we plan to utilize a similar approach to conduct our experiment, implement a neural network using biochemical materials and validate our previous theory.</p>
  
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              <h2><a class="example-image-link" href="images/kids1.jpg" data-lightbox="example-set" data-title="Click the right half of the image to move forward."><img class="example-image" src="images/temp.jpg" alt=""/></a></h2>
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<h1>Composite Parts</h1>
 
  
  
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A composite part is a functional unit of DNA consisting of two or more basic parts assembled together. <a href="http://parts.igem.org/wiki/index.php/Part:BBa_I13507">BBa_I13507</a> is an example of a composite part, consisting of an RBS, a protein coding region for a red fluorescent protein, and a terminator.
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<p>New composite BioBrick devices can be made by combining existing BioBrick Parts (like Inverters, Amplifiers, Smell Generators, Protein Balloon Generators, Senders, Receivers, Actuators, and so on).</p>
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<h3>Note</h3>
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<p>This page should list all the composite parts your team has made during your project and include direct links to your Parts main pages on the Registry. <b>You must add all characterization information for your parts on Parts Main Page on the Registry.</b> You should <b>not</b> put characterization information on this page. Remember judges will only look at the first part in the list for the Best Composite Part award, so put your best part first!</p>
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<h3>Best Composite Part Special Prize</h3>
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<p>To be eligible for this award, this part <b>must be well documented on the part's Main Page on the Registry</b>. If you have a part you wish to nominate your team for this <a href="https://2019.igem.org/Judging/Awards">special prize</a>, make sure you add your part number to your <a href="https://2019.igem.org/Judging/Judging_Form">judging form</a> and delete the alert box at the top of this page.
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<b>Please note:</b> Judges will only look at the first part number you list, so please only enter ONE (1) part number in the judging form for this prize. </p>
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Revision as of 11:15, 29 August 2019

Composite Parts

Composite Parts

This project is based on one of our previously published article [1]. Artificial intelligence is one prevailing research field in recent years, but most of the implementations are on traditional silicon-based computers or chips. Is it possible to use biochemical materials to implement such systems? Our previous paper provides one possible method, but it is validated by only simulations. In this project, we aim to implement such a system in wet experiments. Also, to aid the design of such systems, we will develop a small software to automatically generate required DNA topological structures.

In our system, the concentrations of some input DNA species will be regarded as the input to the neural network. Some mathematical calculations are performed in solutions (weighted summation, activation, etc.) and the output of the neural network is the concentration of some certain DNA strands, similarly.

There are various possible applications of this technology. For example, as it utilizes only DNA, a type of bio-friendly material, with small modifications it may be integrated to other biosystems to create biochemistry robots.

Else

DNA strands have been proved a powerful medium to perform computation. Previous researches [2], [3] have shown some interesting applicatoins of such materials, which implemented a "probabilistic switch" and a pattern recognition machine, respectively.

In this project, we plan to utilize a similar approach to conduct our experiment, implement a neural network using biochemical materials and validate our previous theory.