Based on the pharmacokinetic characteristics in our mouse meningitis model, our best approximation of human pharmacokinetic parameters was achieved by giving daptomycin once and vancomycin twice, four hours apart.
For each Markov model considered, our approximation of σ is very close to the empiric ones and, as with figure 1, the Gaussian distribution fit well to the empiric one (data not shown).
Firstly, it is the simplest approximation to model our data, and the reduction in the degrees of freedom associated with a nonlinear function was not supported statistically.
As our previous study validated a well-mixed approximation to model our experimental conditions (Feinerman et al., 2010), we did not include spatial considerations for the cell-to-cell communications via extracellular IL-2 in these in vitro settings.
Simulations show that our approximation model can predict the latency and energy consumption with less than half RMSE, compared to the linear models.
In terms of power conservation, Figure 13b shows that the skew factor only slightly affects the tune-in time of our mechanism and the exponential index scheme.Regarding the accuracy of our approximation model, Figure 14 presents our comparison between the analytical results and the experimental results.
In total, our approximation (model A) yields an error of ±1 4 meV, which is smaller than the intrinsic errors arising from the choice of the DFT functionals.
The proposed approach gathers recent advances in aeroelastic modelling and model approximation techniques.
Bearing in mind said limitations, our model is an approximation that reflects some, but not all aspects of human myeloma.
We could see the expected relationship between the value of the Michaelis constant and the plausibility of the model simplifying approximation by using our approach.
