![](https://static.igem.org/mediawiki/2019/b/be/T--SEU--tm-wy1.jpg)
Demonstration
In this page, we provide simulation results along with experiment results. Simulations are based on a Mathematica numerical simulation package CRNsimulator [1]. Unitless concentrations and rate constants are utilized to simplify the model. For more details, please refer to our Model Page.
Dry Experiments
1.The simulation results of each calculation operation.
Addition:
The figure below shows the numerical simulation result of a set of reactions:\(A_1 \xrightarrow{k} O,\quad A_2 \xrightarrow{k_2} O, \quad A_3 \xrightarrow{k_3} O\) which perform addition calculation. The initial concentrations (input values) are 1, 2 and 3, respectively (dashed lines in the figure). The output result is the sum of such values (solid red line in the figure).
![](https://static.igem.org/mediawiki/2019/8/84/T--SEU--additionSim.png)
Subtraction:
The figure below shows the reaction \(A+B \xrightarrow{k} \phi\) which is a subtractor. There are two tests shown in this figure: \([A_1](0)=3, [B_1](0)=2\) and \([A_2](0)=2, [B_2](0)=4\).
![](https://static.igem.org/mediawiki/2019/9/93/T--SEU--subtractionSim.png)
Multiplication:
The numerical results of reactions \(\alpha \xrightarrow{k_1} \phi, A+B+\alpha \xrightarrow{k_2} A+B+\alpha+C\) are shown in the figure below. Initial concentrations are \([A](0)=4, [B](0)=3\). The result shows that the final concentration of \(C\) reaches \(4 \times 3=12\).
![](https://static.igem.org/mediawiki/2019/b/bb/T--SEU--multiplicationSim.png)
2.We use such a model to construct a chemical neuron.
A pattern recognition example in computer simulation is shown here. The DNA-based neuron is trained to recognize a 'T' in a \(3 \times 3\) grid. Only after 10 times of training, the neuron can successfully recognize the target 'T'.
![](https://static.igem.org/mediawiki/2019/5/5c/T--SEU--pattern.png)
Wet Experiment
3.The DNA experment results of our calculation operations.
References
[1] CRNsimulator.