Team:TU-Delft/Modeling

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Modeling is our bridge between science and engineering. Using the scientific knowledge on our system, we can describe how the system will act and interact. Combining our mathematical model(s) with our lab results will lead to an as much realistic as possible description of our constructs and its possibilities. This description can then be used for predicting what will happen when you control the system using a specific parameter. Modelling offers the first answers to the questions posed when one engineers. </p>
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Modeling is the bridge between science and engineering in this project; using the scientific knowledge on our system, we can describe how the system will act and interact. Furthermore, using the qualitative relations derived from the models the circuit has been adjusted and designed. This description is used for predicting what will happen in the lab, but also if the project can be applied in reality in a 'band-aid' product.</p>
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Revision as of 09:16, 19 August 2013

Modeling



Modeling is the bridge between science and engineering in this project; using the scientific knowledge on our system, we can describe how the system will act and interact. Furthermore, using the qualitative relations derived from the models the circuit has been adjusted and designed. This description is used for predicting what will happen in the lab, but also if the project can be applied in reality in a 'band-aid' product.













What did we do?

In order to simplify the modeling of the complete system, we spitted it up into different modules which were used as building blocks for the final model.

  1. Timer plus SUMO
  2. Kill Switch
  3. Timer-SUMO-KillSwitch

Moreover, we performed sensitivity analysis in order to investigate which parameters most influence our models.

We also decided to create novel peptides that kill S.aureus. In order to manage this, we performed data analysis and feature extraction of the existing experimentally validated datasets combined with associaton rule mining.