Team:Oxford/modelling biosensor

From 2014.igem.org

(Difference between revisions)
Line 161: Line 161:
         background: #FA6800;
         background: #FA6800;
         border-radius:30px; margin-top:2%; padding-left:2%;padding-right:2%;padding-top:2%;padding-bottom:2%;
         border-radius:30px; margin-top:2%; padding-left:2%;padding-right:2%;padding-top:2%;padding-bottom:2%;
-
width:35%;
+
width:33%;
}
}

Revision as of 10:52, 9 September 2014


Characterisation


Modelling genetic circuits

Predicting the mCherry fluorescence

To model the first double repression, we took the fact that we won’t need to know the amount of tetR in the system and used the assumption that ATC is effectively activating the expression of dcmR, albeit parameterised by different constants. This assumption should be justified by the fact that we will be able to precisely control the addition of ATC and we will be able to measure the fluorescence of the mCherry.
We modelled this first step using both deterministic and stochastic models.
Predicting the mCherry fluorescence

To model the first double repression, we took the fact that we won’t need to know the amount of tetR in the system and used the assumption that ATC is effectively activating the expression of dcmR, albeit parameterised by different constants. This assumption should be justified by the fact that we will be able to precisely control the addition of ATC and we will be able to measure the fluorescence of the mCherry.
We modelled this first step using both deterministic and stochastic models.