Calibration is an important step, as it establishes the baseline behavior of the simulation, to which the results of future in silico investigations are compared.
We are currently working with collaborators on steered molecular dynamics simulations to determine which of these effects is dominant.
When the inferential decisions diverge, analysts should conduct a detailed analysis that includes Monte Carlo simulations to determine which method provides the least biased estimates.
MBG was the main source for statistical insight, and ran extensive simulations to suggest which tests should be run for the analysis.
These studies used simulations to identify which genes or synthetic lethal gene-pairs are essential for biomass production in a given condition.
The ML-Relate program uses simulation to determine which relationships are consistent with genotype data and to compare putative relationships with alternatives.
Here we have extended the simulations to systems for which experimental data do not exist.
We have also added simulations to show under which circumstances the algorithm fails.
There are numerous important questions to which simulations would provide answers but which remain beyond current technological capabilities.
Another aspect of authenticity is the extent to which simulations really do represent real psychiatric encounters.
