Team:Edinburgh/Human

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<li><a href="https://2010.igem.org/Team:Edinburgh" class="dir">home</a>
 
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<li><a href="https://2010.igem.org/Team:Edinburgh/Team" class="dir">team - illuminati</a>
 
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  <li><a href="https://igem.org/Team.cgi?id=322">official</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Team/Supervisors">supervisors</a></li>
 
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<li><a href="https://2010.igem.org/Team:Edinburgh/Project" class="dir">genomic BRIDGEs</a>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Project/Protocol">the protocol</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Results#Genomic">results</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Project/Future">future work</a></li>
 
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<li><a href="https://2010.igem.org/Team:Edinburgh/Bacterial" class="dir">bacterial BRIDGEs</a>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Bacterial/Core_repressilator">the repressilator</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Bacterial/Red_light_producer">red light</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Bacterial/Red_light_sensor">red sensor</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Bacterial/Blue_light_producer">blue light</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Bacterial/Blue_light_sensor">blue sensor</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Bacterial/Green_light_producer">green light</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Bacterial/Green_light_sensor">green sensor</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/BioBricks#Bacterial">submitted parts</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Results#Bacterial">results</a></li>
 
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<li><a href="https://2010.igem.org/Team:Edinburgh/Modelling" class="dir">modelling BRIDGEs</a>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Modelling/Kappa">kappa</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Modelling/Genomic">the genomic model</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Modelling/Bacterial">the bacterial model</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Modelling/Signalling">the signalling model</a></li>
 
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<li><a href="https://2010.igem.org/Team:Edinburgh/Human" class="dir">human BRIDGEs</a>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Human/Aspects">human aspects</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Human/Epic">the epic</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Results#Human">results</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Human/Future">future work</a></li>
 
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<li><a href="https://2010.igem.org/Team:Edinburgh/Notebook" class="dir">lab notes&nbsp;&nbsp;&nbsp;</a>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Notebook">collaboration</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Notebook/BRIDGE">BRIDGE</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Notebook/Red_light_producer">red light</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Notebook/Red_light_sensor">red sensor</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Notebook/Blue_light_producer">blue light</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Notebook/Modelling">modelling</a></li>
 
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  <li><a href="https://2010.igem.org/Team:Edinburgh/Notebook/Safety">safety</a></li>
 
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  <li><a href="http://www.openwetware.org/wiki/French_Lab">protocols</a></li>
 
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<li><a href="https://2010.igem.org/Team:Edinburgh/Acknowledgements" class="dir">acknowledgements</a>
 
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<a name="Introduction" id="Introduction"></a><h2>Modelling BRIDGEs</h2>
 
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<p>An integral part of the engineering approach to biology is the use of modelling techniques that attempt to predict and understand the behaviour of complex biological systems before they are actually fabricated. One of the greatest advantages of models is that they can present an abstract picture of the activity of a part or device long before the actual biology - limited by the time needed for protocols such as PCR and transformation - can. Furthermore, they can help to simplify the mind-boggling amount and complexity of data and interactions involved into a more concise form with some measure of predictive ability.</p>
 
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<p>On the other hand, modelling remains very much a guessing game. Abstractions and assumptions are made at every stage of the process, and even then the finished model will fail to capture all the intricacies of working in biology: interference between various parts and devices, the host not always being a benevolent chassis, and so forth. The extraction of meaningful biological data upon which to base the model, for example kinetic rate parameters, is an extremely time-consuming process, fraught with difficulty and inaccuracy .</p>
 
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<p>Hence, biological modelling can be considered to be a little bit of a black art. If you're good, it will give you an answer; if you're very good, it might even be close to the truth.</p>
 
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<p>Still, in order to effect in the future the rational design and engineering of biological systems, advances in modelling techniques remain crucial. As happened in chemistry in the 1940s and 1950s, capturing the enormous complexity of such processes in a way useful for applications can lead to the establishment of new and useful disciplines. It is our fervent hope that this section of our project has made at least some small progress in this direction.</p><br>
 
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<a name="Project" id="Project"></a><h2>Our Project</h2>
<a name="Project" id="Project"></a><h2>Our Project</h2>
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<p>Our primary goal was to ensure that all of our endeavours in the wet lab had a corresponding modelling element, including but not limited to a model for simulating the BRIDGE protocol, a model for the core repressilator system, and a model for each of the light sensor pathways and how they responded to stimulation by light of the appropriate wavelength.</p>
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<p>On the other hand, we didn't want to model just for the sake of modelling; in our opinion, modelling should always have a clear objective, aiding and adding to the biology in some way. For example, by highlighting possible problems or inefficiencies in the biological systems in question, or by testing two separate designs against one another to determine which of them would be more efficient in achieving the desired outcome, we would be able to solve theoretical conundrums and help our wet-lab team to eliminate unnecessary time and work. Although the time and feasibility constraints of the project and the setbacks we suffered along the way meant that this was not always possible, work continued throughout on refining and rebuilding the model to flexibly adapt to the continually evolving needs of our system.</p><br>
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Revision as of 11:39, 22 September 2010







Human BRIDGEs


What happens within the iGEM competition that doesn't involve humans?

Very little is my answer.

Therefore, what has relevance to human aspects? Almost everything.

Human aspects permeates throughout all parts of the iGEM competition, from the identities (in the broadest sense) of participants and the teams they are within to lab work to the decisions on project focus to the more obvious parts such as ethics.

One thing I believe I'm good at is making people think.

iGEM is a multidisciplinary experience. This situation lends itself to the encouraging of awareness of other ways of thinking than what one is used to. Through the interaction of people from various disciplines the way in which one starts to perceive what one is doing from another perspective. I have furthered that expansion during my time within the University of Edinburgh iGEM team by questioning how the team sees things from ethics to themselves as individuals.


Our Project


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Table of Contents





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