Genetic Expression
In order to further understand the role of temperature-controlling device below and try to find a more suitable temperature-controlling device for our project, we established the Temperature-Controlled Genetic Expression Model.
Figure 1: The Genetic Pathways
We described our device with equilibrium conditions for reversible reactions, chemical rate equation, and additionally, a function with several meaningful parameters for the \(\mathrm{TcI_2}\) inactivation. At last, we obtained the model to show the intensity of gene expression at different temperature. $$ P'(T)=\frac{K_d}{K_d+(1-\alpha_d(T))\cdot\frac{1}{2}(c-\frac{\sqrt{{K_\mathrm{dim}}^2(T)+8K_\mathrm{dim}(T)c}-K_\mathrm{dim}(T)}{4})} $$ What's more, after analysis and optimization, we finally illustrated technical feasibility and a promising prospect of our genetic device.
ELP Aggregation
In order to explore the approximate shape of ELP aggregates and the influence of temperature on ELP aggregation, we established the ELP-Temperature-Control Model
Figure 2: 3D Structure of ELP
Based on the Aggregation Model and Temperature Control Function, we modified the fractal dimension D, concentration, ELP chain length and other parameters. It is worth mentioning that we have performed an exponential correction to the temperature control function, and solved the limitation of the aggregation model for ELP, and then we got the final model $$ R(i)=R_p\cdot(\frac{A\cdot i}{S})^\frac{1}{D}\cdot \max(0,\ {-1+e}^{T_t-T_{tc}-K}) $$ What surprised us was that we not only proved the temperature control sensitivity of ELP and the feasibility of aggregation, but also provided strong support for the phenomenon that the aggregation is an ellipsoid from a mathematical point of view. Meanwhile, we found that it also has a perfect predictive effect when using this model to predict the temperature-controlled aggregation of ELP of other chain lengths
Bacteriostasis of BLP-7
The Logistic Model suitable for the action of antimicrobial peptides is selected from the traditional growth model, which correlates \(\mathrm{t_0}\) with the antimicrobial peptide concentration C at
the maximum change rate of bacterial population to make corrections. The problem of how to determine the range of parameter values is solved in the case of insufficient experimental data. Finally, according to the experimental data of similar antimicrobial peptides, we provide a referential concentration. for the wet experiment.
TLR2 Antagonist
In order to validate the inhibitory effect of TLR2 antagonist on inflammation and explore the interaction between TLR2 and Lipoproteins, we established a model based on biochemical reaction equation.
Considering of complexity of the human facial cuticle internal environment , and to make the model perform the main functions, we make the following assumptions (for the whole chemical equation equilibrium modeling)
The K value is not considered to be affected by the concentration change;
The equilibrium temperature is 298.15 K under the standard conditions;
The whole equilibrium takes place in the ideal environment without considering the special conditions of the reaction.