Team:Dundee/Modelling4

From 2012.igem.org

(Difference between revisions)
 
(15 intermediate revisions not shown)
Line 29: Line 29:
</li>
</li>
        
        
-
<li class='has-sub'><a href='https://2012.igem.org/Team:Dundee/Wet Lab'><span>Wet Lab</span></a>
+
<li class='has-sub'><a href='https://2012.igem.org/Team:Dundee/Strategy'><span>Wet Lab</span></a>
           <ul>
           <ul>
               <li><a href='https://2012.igem.org/Team:Dundee/Strategy'><span>Strategy</span></a></li>
               <li><a href='https://2012.igem.org/Team:Dundee/Strategy'><span>Strategy</span></a></li>
Line 69: Line 69:
       <h2><img src="https://static.igem.org/mediawiki/2012/4/49/Overview_header.png"></h2>
       <h2><img src="https://static.igem.org/mediawiki/2012/4/49/Overview_header.png"></h2>
-
                 The problem addressed in this project is characterised by processes occurring  over a vast range of spatial and temporal scales: from the protein structure of the type VI secretion system to  large-scale effects in the colon.  This range of scales presents a chain of biological questions: can we engineer an E.coli that produce enough endolysin to kill C. diff? What are the factors that could lead to success and failure of an E. coli therapy? What if processes are stochastic? Could our engineered E. coli be an efficient solution in realistic conditions? The mathematical modelling component of this project attempts address these questions by both underpinning the lab work and extending it beyond what is capable on the bench. Clicking on the tabs to the right and linking to the <a href='https://2012.igem.org/Team:Dundee/Software'><span>Software Page </span></a>,  will reveal the  variety of modelling techniques used  -  from ODE and PDE models to our bespoke CellSim cellular automata. Our results obtained so far summarised there. The work continues…<br><br>
+
                 The problem addressed in this project is characterised by processes occurring  over a vast range of spatial and temporal scales: from the protein structure of the T6SS to  large-scale effects in the colon.  This range of scales presents a chain of biological questions: can we engineer an <i>E.coli</i> that produces enough endolysin to kill <i>C. difficile</i>? What are the factors that could lead to success and failure of an <i>E. coli</i> therapy? What if processes are stochastic? Could our engineered <i>E. coli</i> be an efficient solution in realistic conditions? The mathematical modelling component of this project attempts to address these questions by both underpinning the lab work and extending it beyond what is capable on the bench. Clicking on the tabs to the right and linking to the <a href='https://2012.igem.org/Team:Dundee/Software'><span>Software Page </span></a>,  will reveal the  variety of modelling techniques used  -  from ODE and PDE models to our bespoke CellSim cellular automata. Our results obtained so far are summarised there. The work continues…<br><br>
 +
 
 +
 
<center>
<center>
                 <img src="https://static.igem.org/mediawiki/2012/3/31/Mathspic2.jpg">
                 <img src="https://static.igem.org/mediawiki/2012/3/31/Mathspic2.jpg">
             <center>
             <center>
-
     
+
-
 
+
</div>   
</div>   
Line 94: Line 95:
             <a href="https://2012.igem.org/Team:Dundee/Modelling3"><img src="https://static.igem.org/mediawiki/2012/f/f1/Modellingbut3.jpg"></a>
             <a href="https://2012.igem.org/Team:Dundee/Modelling3"><img src="https://static.igem.org/mediawiki/2012/f/f1/Modellingbut3.jpg"></a>
       </div>
       </div>
 +
 +
<div class="pickerbox">
 +
            <a href="https://2012.igem.org/Team:Dundee/Modelling5"><img src="https://static.igem.org/mediawiki/2012/9/99/Movies_button1.jpg"></a>
 +
      </div>
 +
<div class="clearfix">
<div class="clearfix">

Latest revision as of 22:26, 26 September 2012

The problem addressed in this project is characterised by processes occurring over a vast range of spatial and temporal scales: from the protein structure of the T6SS to large-scale effects in the colon. This range of scales presents a chain of biological questions: can we engineer an E.coli that produces enough endolysin to kill C. difficile? What are the factors that could lead to success and failure of an E. coli therapy? What if processes are stochastic? Could our engineered E. coli be an efficient solution in realistic conditions? The mathematical modelling component of this project attempts to address these questions by both underpinning the lab work and extending it beyond what is capable on the bench. Clicking on the tabs to the right and linking to the Software Page , will reveal the variety of modelling techniques used - from ODE and PDE models to our bespoke CellSim cellular automata. Our results obtained so far are summarised there. The work continues…