Difference between revisions of "Team:Lund/Model"

 
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<h3><em>in silico</em> design of hemoglobin mutants</h3>
 
<h3><em>in silico</em> design of hemoglobin mutants</h3>
<p>Structure-property modeling of proteins is a notoriously difficult problem. In this model we rationally design human hemoglobin mutants in a semi data-driven manner by combining machine learning and protein engineerins. The proteins are expressed in the lab and shown to be functional.  </p>
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<p>Structure-property modeling of proteins is a notoriously difficult problem. In this model we rationally design human hemoglobin mutants in a semi data-driven manner by combining machine learning and protein engineering. The proteins are expressed in the lab and shown to be functional.  </p>
 
       <a class="btn btn-default" href="/Team:Lund/Model/Hemoglobin">Read more</a>
 
       <a class="btn btn-default" href="/Team:Lund/Model/Hemoglobin">Read more</a>
 
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Latest revision as of 10:54, 6 November 2018

in silico design of hemoglobin mutants

Structure-property modeling of proteins is a notoriously difficult problem. In this model we rationally design human hemoglobin mutants in a semi data-driven manner by combining machine learning and protein engineering. The proteins are expressed in the lab and shown to be functional.

Read more

Growth Curves

Vitreoscilla hemoglobin has revealed itself to possess many interesting properties. Here we model the growth curves of cells expressing the hemoglobin under promoters of varying strength. We show that the additional expression of the protein is deemed positive on the growth rate.

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