Difference between revisions of "Team:Vilnius-Lithuania-OG"

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<h1> Vilnius-Lithuania Overgraduate! </h1>
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<center><h1> Vilnius-Lithuania Overgraduate! </h1></center>
  
 
  <center><img src="https://static.igem.org/mediawiki/2018/6/6d/T--Vilnius-Lithuania-OG--catseq-test2.png" alt="Paris" align="middle" style="width:300px;height:300px"> </center>
 
  <center><img src="https://static.igem.org/mediawiki/2018/6/6d/T--Vilnius-Lithuania-OG--catseq-test2.png" alt="Paris" align="middle" style="width:300px;height:300px"> </center>
 
 
<p>Biocatalysis is the use of enzymes in chemical synthesis, and it has expanded significantly over the last few decades due to <b>shorter synthesis routes</b>, <b>reduced waste</b> and <b>high product yields</b> in comparison to chemical synthesis methods. Yet, each unique enzyme takes years to develop, while the demand for biocatalysts is growing at a rapid pace.</p>
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<p>Biological part characterization is the core requirement for engineering complex, yet predictable biosystems. The immense complexity of nature makes this a challenging task. Currently, there is a considerable lack of well-defined, standardized parts and an insufficient grasp of their sequence-function relationship. Notably, state of the art screening methods have insufficient throughput to effectively navigate the extensive biomolecule sequence space. To address this issue we have developed a novel approach to part characterization based on microfluidics and modified nucleotides: Catalytic Activity Sequencing (CAT-Seq). CAT-Seq enables the simultaneous activity measurements of billions of biomolecule variants in parallel. Unique biomolecules are each synthesized in separate water droplets and their activity is recorded and stored into their individual DNA sequences. This information can then be readily retrieved by next-generation sequencing. CAT-Seq can rapidly assess sequence-function relationships, characterize regulatory parts, their interactions, and provide much-needed data for predictively designing novel biological systems. </p>  
<p>The field of enzyme engineering is still in its youth, because of the great complexity of the particular field. From numerous amino acid combinations that form enzymes, only a handful can transform a given substrate into the required product. After pharmaceutical company fully develops a particular drug, it takes an average of two additional years to develop the enzyme(s) that can facilitate synthesis of such molecule. Enzyme engineering leaves a lot to be desired, even with the state of art screening solutions and the rise of directed protein evolution.</p>
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<p>One of the major limiting factors concerning biocatalyst engineering is the protein activity characterization speed. That is why our goal is to develop a new generation high-throughput enzyme screening method, which will allow to move from characterization of thousand mutants in a day <b>to billions of mutants in an hour.</b> A change of this scale matters – large amount of data will allow our AI algorithms to evolve into new horizons – including the swift generation of novel enzymatic reactions and multiple enzyme metabolic route optimization.</p>  
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Revision as of 11:31, 17 September 2018

Vilnius-Lithuania Overgraduate!

Paris

Biological part characterization is the core requirement for engineering complex, yet predictable biosystems. The immense complexity of nature makes this a challenging task. Currently, there is a considerable lack of well-defined, standardized parts and an insufficient grasp of their sequence-function relationship. Notably, state of the art screening methods have insufficient throughput to effectively navigate the extensive biomolecule sequence space. To address this issue we have developed a novel approach to part characterization based on microfluidics and modified nucleotides: Catalytic Activity Sequencing (CAT-Seq). CAT-Seq enables the simultaneous activity measurements of billions of biomolecule variants in parallel. Unique biomolecules are each synthesized in separate water droplets and their activity is recorded and stored into their individual DNA sequences. This information can then be readily retrieved by next-generation sequencing. CAT-Seq can rapidly assess sequence-function relationships, characterize regulatory parts, their interactions, and provide much-needed data for predictively designing novel biological systems.

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