Team:ETH Zurich/modeling/qs

From 2014.igem.org

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$$K_m\text{ the activation concentration of AHL.}$$
$$K_m\text{ the activation concentration of AHL.}$$
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Given this offset and the maximal expression, the signal over noise ratio can be derived. This ratio, which can then be compared amongst all curves, characterizes the impact of leakiness on the behavior of a system. The leakier is a construct in its native form, the more impact the riboregulator will have, the more likely it is for the riboregulator to increase the signal over noise ratio/ Our final construct (Promoters with a [http://2014.igem.org/Team:ETH_Zurich/expresults riboregulating system]) have the following parameters.
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{| class="wikitable"; width="60%"
{| class="wikitable"; width="60%"
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! '''Signal over noise ratio'''
! '''Signal over noise ratio'''
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|-
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|P<sub>lux</sub> without riboregulator
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|P<sub>Lux</sub> without riboregulating system
|23
|23
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|-
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|P<sub>lux</sub> with riboregulator
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|P<sub>Lux</sub> with riboregulating system
|79
|79
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|-
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|P<sub>las</sub> without riboregulator
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|P<sub>Las</sub> without riboregulating system
|84
|84
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|-
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|P<sub>las</sub> with riboregulator
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|P<sub>Las</sub> with riboregulating system
|55
|55
|}
|}
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Given this offset and the maximal expression, the signal over noise ratio can be derived. This ratio, which can then be  compared amongst all curves, characterizes the impact of leakiness on the behavior of a system. Our final construct (Promoters with a [http://2014.igem.org/Team:ETH_Zurich/expresults riboregulating system]) have the following parameters.
 
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%%Insert table%%
 
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Revision as of 15:49, 17 October 2014

iGEM ETH Zurich 2014