Difference between revisions of "Team:Aalto-Helsinki/Modeling synergy"

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<h1 style="text-align:center">Under construction</h1>
 
<h1 style="text-align:center">Under construction</h1>
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<h2>Introduction</h2>
  
 
<p>When considering the ordinary reaction, after reacting with a single enzyme the transformed substrate could need an enzyme that is further away of it to become our wanted product. This idea led us to demonstrate with a mathematical model that, by having more enzymes scaffolded, substrates could be transformed faster to the last product. To see if this was a beneficial approach and if it really does speed the reaction up, we did a stochastic model of this with python.</p>
 
<p>When considering the ordinary reaction, after reacting with a single enzyme the transformed substrate could need an enzyme that is further away of it to become our wanted product. This idea led us to demonstrate with a mathematical model that, by having more enzymes scaffolded, substrates could be transformed faster to the last product. To see if this was a beneficial approach and if it really does speed the reaction up, we did a stochastic model of this with python.</p>
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<h2>Assumptions and other background</h2>
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 +
<p>What we have assumed and why and how they affect.</p>
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 +
<h2>Results</h2>
 +
 +
<p>Our awesome results!</p>
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 +
<h2>Implications of the model</h2>
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 +
<p>Here talk about what the results actually say</p>
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 +
<h2>Restrictions</h2>
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<p>Is there something our model doesn't take into account? Why our model wouldn't work? </p>
  
 
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Revision as of 11:32, 23 July 2015

Under construction

Introduction

When considering the ordinary reaction, after reacting with a single enzyme the transformed substrate could need an enzyme that is further away of it to become our wanted product. This idea led us to demonstrate with a mathematical model that, by having more enzymes scaffolded, substrates could be transformed faster to the last product. To see if this was a beneficial approach and if it really does speed the reaction up, we did a stochastic model of this with python.

Assumptions and other background

What we have assumed and why and how they affect.

Results

Our awesome results!

Implications of the model

Here talk about what the results actually say

Restrictions

Is there something our model doesn't take into account? Why our model wouldn't work?