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− | <a href="" | + | <li><a href="#what">What is Alpha Ant</a></li> |
− | <a href="" | + | <li><a href="#why">Why Alpha Ant</a></li> |
− | <a href="" | + | <li><a href="#origin">Origin of Name</a></li> |
− | <a href="" | + | <li><a href="#">Characteristics</a></li> |
− | <a href="" | + | <li><a href="#">Data processing</a></li> |
− | <a href="" | + | <li><a href="">Algorithm</a></li> |
− | <a href="" | + | <li><a href="">Ranking criteria</a></li> |
− | <a href="" | + | <li><a href="">Additional functions</a></li> |
</ul> | </ul> | ||
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<span>PROJECT</span> | <span>PROJECT</span> | ||
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− | <div class="content"> | + | |
− | <span class="h1"> | + | |
+ | <div class="content" > | ||
+ | <span class="h1" id="what"> | ||
What is Alpha Ant?</br> | What is Alpha Ant?</br> | ||
</span> | </span> | ||
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You need Alpha Ant as a guide</br> | You need Alpha Ant as a guide</br> | ||
</span> | </span> | ||
− | <b>Background</b></br> | + | <span class="detail" ><b>Alpha ant is a computational tool for pathway design and reconstruction. With full consideration of metabolic burden and some useful functions, we provide an efficient and powerful pathway design guide.</b></span> |
− | + | ||
− | + | <span class="h1" id="why"> | |
− | + | Why Alpha Ant?</br> | |
− | + | </span> | |
+ | <b>Background</b></br> | ||
+ | <span class="detail">Pathway engineering has proven indispensible in synthetic biology for its utility in design of microbes for generating value-added products, which is also the ultimate goal of our project. The core idea is to design and reconstruct pathway for proper use, including introducing heterologous metabolic reaction into a host organism, optimizing genetic processes within cells, modeling for yield prediction, flux balance analysis and so on. </br></span> | ||
+ | <span class="detail" >However, it’s quite a challenge to reach high yield and productivity while balancing the metabolic burden in certain organism. For example, it can require sorting through thousands of possible reactions and enzymes. Also, it requires evaluation and simulation of pathway using in silico analysis. Of course, wet-lab experiments are necessary for pathway validation. | ||
+ | </span> | ||
+ | <b>Inspiration</b></br> | ||
+ | <span class="detail">Advancements in metabolic engineering have enabled us to engineer and express enzymes and construct novel pathways for various applications including drug discovery and value-added biochemical production. | ||
+ | The fact is that most current computational tools only have one or two ranking criteria, which can not fully describe and evaluate metabolic burden in organism.</span> | ||
+ | |||
+ | |||
+ | |||
+ | </div> | ||
</body> | </body> |
Revision as of 11:39, 2 October 2018
PROJECT
What is Alpha Ant?
Already got a brilliant idea in metabolic engineering?
Too much information to search?
Still,
You need Alpha Ant as a guide
Alpha ant is a computational tool for pathway design and reconstruction. With full consideration of metabolic burden and some useful functions, we provide an efficient and powerful pathway design guide.
Why Alpha Ant?
Background
Pathway engineering has proven indispensible in synthetic biology for its utility in design of microbes for generating value-added products, which is also the ultimate goal of our project. The core idea is to design and reconstruct pathway for proper use, including introducing heterologous metabolic reaction into a host organism, optimizing genetic processes within cells, modeling for yield prediction, flux balance analysis and so on.
However, it’s quite a challenge to reach high yield and productivity while balancing the metabolic burden in certain organism. For example, it can require sorting through thousands of possible reactions and enzymes. Also, it requires evaluation and simulation of pathway using in silico analysis. Of course, wet-lab experiments are necessary for pathway validation.
Inspiration
Advancements in metabolic engineering have enabled us to engineer and express enzymes and construct novel pathways for various applications including drug discovery and value-added biochemical production.
The fact is that most current computational tools only have one or two ranking criteria, which can not fully describe and evaluate metabolic burden in organism.