Team:ETHZ Basel/Achievements/Systems Design

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(Modeling Insights)
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= Modeling Insights =
= Modeling Insights =
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Mathematical modeling of biological pathways should never be a end in itself. Instead, mathematical models should be build to give insights into the pathway of interest which are otherwise hard to obtain, or to speed up experimental work. In the following this section we summarize the insights obtained by our modeling subgroup on the way the synthetic network should be designed ([[Team:ETHZ_Basel/Achievements/Modeling_Insights#Insights for wet laboratory |Insights for wet laboratory]]), which resulted in a priority list on which network alternative was implemented first in the laboratory. Furthermore, by using the model, it was possible to estimate the reaction time of the network on the red and far-red light pulses and the minimum duration of them ([[Team:ETHZ_Basel/Achievements/Modeling_Insights#Insights for information processing  |Insights for information processing]]), which are crucial parameters needed for the controller design. Finally, different controller alternatives were constructed and evaluated based on the model, the process of which we summarize in the section on [[Team:ETHZ_Basel/InformationProcessing/Controller | Controller Design]].

Revision as of 08:02, 19 October 2010

Modeling Insights

Mathematical modeling of biological pathways should never be a end in itself. Instead, mathematical models should be build to give insights into the pathway of interest which are otherwise hard to obtain, or to speed up experimental work. In the following this section we summarize the insights obtained by our modeling subgroup on the way the synthetic network should be designed (Insights for wet laboratory), which resulted in a priority list on which network alternative was implemented first in the laboratory. Furthermore, by using the model, it was possible to estimate the reaction time of the network on the red and far-red light pulses and the minimum duration of them (Insights for information processing), which are crucial parameters needed for the controller design. Finally, different controller alternatives were constructed and evaluated based on the model, the process of which we summarize in the section on Controller Design.