Difference between revisions of "Team:Bielefeld-CeBiTec/Project/Library/Overview"

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<div class="container text_header"><h1>Overview</h1></div>
  
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<div class="container text_header"><h3>Motivation</h3></div>
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<div class="container text">As every house needs a cornerstone we need our binding protein library. The demand of easily accessible, fast adapting and specific binding proteins is ever-growing. To utilize the advantages of binding proteins for our project, a library, adapting the end-users (or more specific: our) needs, was designed by us.<br>
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When we were faced the challenge of designing a binding protein library, earlier this year, we glanced at existing iGEM projects and were surprised by not finding approaches in similar manner. Actually - our research proved our approach to be unprecedented in this competition. Introducing and providing one therefor contributes to the community as well. In this way, we hope to show the benefits to pave the way for a higher usage of libraries in iGEM.<br>
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<div class="container text_header"><h3>Overview</h3></div>
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<div class="container text">To achieve generating the perfect binder an initial library is essential for our project. Thus, we set up the foundation to build our <i>in vivo</i> mutagenesis system on.<br>
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Our library layout is based on synthetic binding proteins as well as naturally occurring binding proteins. To start with, we chose two different scaffolds: Nanobodies and Monobodies. Each possessing advantages compared to conventional antibodies, making them suitable for our system. <a href= https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library/Scaffolds >Read more</a> about our used scaffolds.<br>
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Setting up a humongous library, containing all different kinds of variants, seemed tempting at first, but having a more defined and optimized library was the more rational choice. For doing so we involved only specific amino acids in the randomized regions of our binding proteins, to optimize binding of targets (source, bitch, Felouse and Koide). Hence, we kept the theoretical variability to a maximum of about one billion (1,073,741, 824), just including estimatingly promising initial binders. See our <a href= https://2016.igem.org/Team:Bielefeld-CeBiTec/Project/Library/Design>Design and Construction</a> for further insight.<br><br>
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   <figcaption class="figure-caption">Figure 1: Library of binding proteins.</figcaption>
 
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Revision as of 17:47, 18 October 2016



Overview

Motivation

As every house needs a cornerstone we need our binding protein library. The demand of easily accessible, fast adapting and specific binding proteins is ever-growing. To utilize the advantages of binding proteins for our project, a library, adapting the end-users (or more specific: our) needs, was designed by us.
When we were faced the challenge of designing a binding protein library, earlier this year, we glanced at existing iGEM projects and were surprised by not finding approaches in similar manner. Actually - our research proved our approach to be unprecedented in this competition. Introducing and providing one therefor contributes to the community as well. In this way, we hope to show the benefits to pave the way for a higher usage of libraries in iGEM.

Overview

To achieve generating the perfect binder an initial library is essential for our project. Thus, we set up the foundation to build our in vivo mutagenesis system on.
Our library layout is based on synthetic binding proteins as well as naturally occurring binding proteins. To start with, we chose two different scaffolds: Nanobodies and Monobodies. Each possessing advantages compared to conventional antibodies, making them suitable for our system. Read more about our used scaffolds.
Setting up a humongous library, containing all different kinds of variants, seemed tempting at first, but having a more defined and optimized library was the more rational choice. For doing so we involved only specific amino acids in the randomized regions of our binding proteins, to optimize binding of targets (source, bitch, Felouse and Koide). Hence, we kept the theoretical variability to a maximum of about one billion (1,073,741, 824), just including estimatingly promising initial binders. See our Design and Construction for further insight.

Library

Figure 1: Library of binding proteins.