Team:UCL/Modeling

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You are provided with this team page template with which to start the iGEM season.  You may choose to personalize it to fit your team but keep the same "look." Or you may choose to take your team wiki to a different level and design your own wiki.  You can find some examples <a href="https://2008.igem.org/Help:Template/Examples">HERE</a>.
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<p class="major_title">DRY LAB</p>
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<p class="minor_title">Modelling The Treatment And Finding New Parts</p>
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Mathematical modelling provides a powerful tool for scientists of all disciplines, allowing inspection and manipulation of a system in ways which are unachievable in the lab. In the context of biology, we can use mathematical models to study the behaviour of a single cell or an entire ecosystem. In fact, inspecting a mathematical model is very much like a laboratory experiment – the main difference being that in modelling, the environment is artificial. <br><br>
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Click the abstracts below to read more.
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<a href="https://static.igem.org/mediawiki/2013/a/aa/Modelling_pic.jpg" data-lightbox="image-1" title="Modelling Overview UCL iGEM 2013">
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<p class="abstract_title">Model Overview</p>
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Mathematical modelling provides a powerful tool for scientists of all disciplines, allowing inspection and manipulation of a system in ways which are unachievable in the lab. In the context of biology, we can use mathematical models to study the behaviour of a single cell or an entire ecosystem. In fact, inspecting a mathematical model is very much like a laboratory experiment – the main difference being that in modelling, the environment is artificial.
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<p class="abstract_title">Simulation Results</p>
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For all the complex calculations and mechanisms behind a model, it is without much worth if it cannot produce useful results. In general, 'useful results' are defined as successful predictions about the effects of modifying some parameter - if we can use a model to determine the effect of each variable upon the outcome, we can better design our system in the real world.
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!align="center"|[[Team:UCL|Home]]
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!align="center"|[[Team:UCL/Team|Team]]
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!align="center"|[https://igem.org/Team.cgi?year=2013&team_name=UCL Official Team Profile]
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!align="center"|[[Team:UCL/Project|Project]]
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!align="center"|[[Team:UCL/Parts|Parts Submitted to the Registry]]
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!align="center"|[[Team:UCL/Modeling|Modeling]]
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!align="center"|[[Team:UCL/Notebook|Notebook]]
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<p class="abstract_title">Westminster collaboration</p>
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Since Westminster's iGEM team had not produced a model of their own, and their project has several similarities to ours, we have constructed an additional model, also in C#, and sent this to Westminster's team for them to use. The model simulates bed bugs moving randomly in a cubic room. One of their proposed "blood traps" is integrated into the simulation, which visually demonstrates bed bugs being attracted and then subsequently killed by the device.
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<a href="https://2013.igem.org/Team:UCL/Modeling/Bioinformatics">
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<p class="abstract_title">Bioinformatics</p>
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<p class="abstract_text">Using bioinformatics we can identify key genes whose dysfunction drives disease states. In so doing, we are should be able to come up with new parts that target these dysfunctional genes to increase the efficacy of synthetic biological constructs. 
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If you choose to include a '''Modeling''' page, please write about your modeling adventures here. This is not necessary but it may be a nice list to include.
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Latest revision as of 03:56, 5 October 2013

DRY LAB

Modelling The Treatment And Finding New Parts

Mathematical modelling provides a powerful tool for scientists of all disciplines, allowing inspection and manipulation of a system in ways which are unachievable in the lab. In the context of biology, we can use mathematical models to study the behaviour of a single cell or an entire ecosystem. In fact, inspecting a mathematical model is very much like a laboratory experiment – the main difference being that in modelling, the environment is artificial.

Click the abstracts below to read more.

Model Overview

Mathematical modelling provides a powerful tool for scientists of all disciplines, allowing inspection and manipulation of a system in ways which are unachievable in the lab. In the context of biology, we can use mathematical models to study the behaviour of a single cell or an entire ecosystem. In fact, inspecting a mathematical model is very much like a laboratory experiment – the main difference being that in modelling, the environment is artificial.

Simulation Results

For all the complex calculations and mechanisms behind a model, it is without much worth if it cannot produce useful results. In general, 'useful results' are defined as successful predictions about the effects of modifying some parameter - if we can use a model to determine the effect of each variable upon the outcome, we can better design our system in the real world.

Westminster collaboration

Since Westminster's iGEM team had not produced a model of their own, and their project has several similarities to ours, we have constructed an additional model, also in C#, and sent this to Westminster's team for them to use. The model simulates bed bugs moving randomly in a cubic room. One of their proposed "blood traps" is integrated into the simulation, which visually demonstrates bed bugs being attracted and then subsequently killed by the device.

Bioinformatics

Using bioinformatics we can identify key genes whose dysfunction drives disease states. In so doing, we are should be able to come up with new parts that target these dysfunctional genes to increase the efficacy of synthetic biological constructs.

Retrieved from "http://2013.igem.org/Team:UCL/Modeling"