Team:Sweden/Mathematical Modelling
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The Linguistic Cell
In this section you will find everything about the modeling of the sentence parsing cell.
1 Design obstacles and Solutions
Several problems needed to be taken care of when implementing a biological model.
i. Repeated input (e.g. det det adj)
ii. Wrong input (e.g. det adj det)
For the repeatedly inputting the same PoS we used a counter (with courtesy of ETH iGEM 2005) which counts how many times an input occurs in a row. It uses an interval state and an intermediate input to move the automaton from one state to the other. For the wrong input we set inhibitions in the model in a specific way.
2 The theory
Several assumptions have been made to make the model work the way we want it to.
i. I1 is always active at t=0, meaning that every sentence begins with and intermediate input to activated I1.
ii. The strength of every inhibition is the same
iii. We introduce a stop signal, so we know when a sentence is finished
We used ODEs to model the system. In general, it the ODEs look like this:
State i = synthesis * (every incoming activation and repression) – degradation of i
- <math>\text{dydt}_i = syn_i \prod \limits_{j\in i} \begin{cases} act_j, & \text{if } j \text{ activates } i \\ rep_j, & \text{if } j \text{ inhibits } i \end{cases} - \text{deg}_i</math>
Here the mathematical modeling data and results will be published soon. The picture on the left represent the model that we are currently following to model our parsing cell.