Team:ETH Zurich/Modeling

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Contents

Overview

To support our colleagues in the lab, we outlined different models for different parts of our project.

Photoinduction

Figure 1: Photoconversion cross sections calculatet for various receptors.

One approach used light receptors, such as Lov-TAP, Cph8, Ccas1 and YcgF. The different receptors are characterised by their absorption spectra that determine their activation and deactivation.

We modelled the activation of light receptors based on their absorption profiles and different light sources. To do so, we devised a model that takes light source emission spectra, absorption spectra and parameters such as quantum yield and extinction coefficient from literature as an input and returns the activation and deactivation coefficients for the given conditions.

We calculated the activation of the receptors under different light conditions with a focus on the fraction of the activation that is due to UV in the blue light receptors. In the model, the fraction of activation due to UV light is too low to activate the receptor sufficiently. Therefore, our model was able to show that our idea does not work as planned out initially, where UV was detected as the difference between receptor activation.

See all the details in Team:ETH_Zurich/Modeling/Photoinduction.

ODE model

To decode our light receptor input, we created a full deterministic ODE model with the software Ru2ren.


File:ETH decoder.jpg
Figure 2: Overall circuit design for our encoder


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