Difference between revisions of "Team:TU Darmstadt/project/notebook"

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<span class="image avatar"><a href="https://2017.igem.org/Team:TU_Darmstadt"><img src="https://static.igem.org/mediawiki/2017/3/3d/LogoOWL.png" alt="home" /></a></span>
 
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<h2>Deterministic Expression models and what they are to me</h2>
 
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<p>Abstract: Faucibus sed lobortis aliquam lorem blandit. Lorem eu nunc metus col. Commodo id in arcu ante lorem ipsum sed accumsan erat praesent faucibus commodo ac mi lacus. Adipiscing mi ac commodo. Vis aliquet tortor ultricies non ante erat nunc integer eu ante ornare amet commetus vestibulum blandit integer in curae ac faucibus integer non. Adipiscing cubilia elementum.</p>
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One of the essential parts of synthetic biology is the modeling of systems      which it aspires to describe. These models can be of varying natures, they      describe the very small; the behaviour of single molecules, up ot the very      large; dynamics of whole organisms. These models allow for the prediction of    the behaviour of said systems, which supports wet lab work and allows to        predict the outcomes of experiments.
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In this project we tried to implement a deterministic  model of the            transcription and translation of our expression system. This kind of model is  based on numerically solving differential equations, that each describe the    concentration of a species of the system over time. The model is meant to give  us clues about how our expression system is regulated and behaves over time    and to be experimentally validated.
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$$
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\begin{equation}
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(\hat{T}_{e} + \hat{T}_{N} + \hat{V}_{e} + \hat{V}_{N} + \hat{V}_{eN})\Psi=i \hbar \frac{\partial}{\partial t}\Psi
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\label{Schrödinger}
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Revision as of 13:39, 25 October 2017

MainPage

Deterministic Expression models and what they are to me

One of the essential parts of synthetic biology is the modeling of systems which it aspires to describe. These models can be of varying natures, they describe the very small; the behaviour of single molecules, up ot the very large; dynamics of whole organisms. These models allow for the prediction of the behaviour of said systems, which supports wet lab work and allows to predict the outcomes of experiments. In this project we tried to implement a deterministic model of the transcription and translation of our expression system. This kind of model is based on numerically solving differential equations, that each describe the concentration of a species of the system over time. The model is meant to give us clues about how our expression system is regulated and behaves over time and to be experimentally validated.

Submenu 1 id "two"

Abstract: Faucibus sed lobortis aliquam lorem blandit. Lorem eu nunc metus col. Commodo id in arcu ante lorem ipsum sed accumsan erat praesent faucibus commodo ac mi lacus. Adipiscing mi ac commodo. Vis aliquet tortor ultricies non ante erat nunc integer eu ante ornare amet commetus vestibulum blandit integer in curae ac faucibus integer non. Adipiscing cubilia elementum.

$$ \begin{equation} (\hat{T}_{e} + \hat{T}_{N} + \hat{V}_{e} + \hat{V}_{N} + \hat{V}_{eN})\Psi=i \hbar \frac{\partial}{\partial t}\Psi \label{Schrödinger} \end{equation}$$