By combining a computational model with experiments on the evolution of drug resistance in bacteria, Gore and his students have, for the first time, calculated the likelihood of a particular evolutionary adaptation reversing itself.
The effect of opposing flow on flame spread rate over thin solid fuel is investigated with the help of scaling theory, a comprehensive computational model, and experiments conducted aboard the International Space Station.
Quantifying the uncertainty in an experiment or computational simulation requires sampling over the uncertain range of input parameters and propagating the uncertainty through a computational model or experiment to quantify the output parameter uncertainty.
Computational modeling and experiments suggest that the role of the iron-sulfur cluster biosynthesis pathway in infection is indirect, via competitive binding of the shared sulfur donor IscS.
While various aspects of the load sharing behaviors have been shown both through computational models and experiments, a physical understanding of the true nature of the load sharing behavior is still lacking.
In this study, we have combined computational models and experiments to determine the relation between physical forces, material elasticity, and the behavior of cortical MT. We first relate MT behavior to cell wall reinforcements.
Using a combined approach of computational modeling and experiments we found that competition between binding of the ligand FGF2 to HSGAG and FGF receptor leads to the biphasic response.
MLG designed the computational model, performed the simulation experiments, analysed the data and wrote the paper.
Using such a computational model, we performed simulation experiments as preliminary tests of the hypothesis that drugs targeting shared cellular products will reduce the evolution of pathogen drug resistance, as compared to drugs targeting cell-intrinsic molecules.
The computational modelling for Experiment 2 was similar but included the additional factor of the experimental condition (Supplementary Fig. 6).
The proposed heuristic optimisation approach relies on the rank of the cross-covariance matrix between the observations of the target variables and the observations of the sensor measurement variables obtained from simulations using the computational model of an experiment.
