# Team:UCL/Modeling/Overview

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UCL's iGEM model

UCL's iGEM model

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When coupled with computational power, we can use mathematical modelling to produce intricate simulations of a very fine scale. This is exactly what the iGEM team has done this year, in producing a comprehensive model of the plaques and microglia in the brain. With many millions of cells present, mathematical tricks and techniques have been employed in order to allow computation of this highly complex system. For the end-user, this scaffolding is hidden from view: the final result will be a user-friendly windows application. When coupled with computational power, we can use mathematical modelling to produce intricate simulations of a very fine scale. This is exactly what the iGEM team has done this year, in producing a comprehensive model of the plaques and microglia in the brain. With many millions of cells present, mathematical tricks and techniques have been employed in order to allow computation of this highly complex system. For the end-user, this scaffolding is hidden from view: the final result will be a user-friendly windows application.

## Revision as of 02:13, 5 October 2013

WHAT IS A MODEL?

And how can it be used?

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.

To the right is a short animation showing the model’s graphical output. Red dots represent amyloid plaques, and blue dots show microglia cells. The red circle shows the boundary of a small hypothetical spherical section of the brain. Although the underlying mechanics of this animation are simply mathematical, the behaviour of the plaques and cells is surprisingly representative of the truth. This is the essence of a model.

UCL's iGEM model