Sentence examples for simulations to test whether from inspiring English sources

Next, we use explicit physical knowledge from biomolecular simulation force fields and molecular dynamics simulations to test whether the designed structure is physically possible.

We ran simulations to test whether the method was unbiased.

We performed a series of simulations to test whether the combination of the two isotopes would increase the probability with which individuals were correctly assigned to sites of origin when compared to using each isotope alone.

Since it is possible that the proximity of the Q1 locus to the end of the chromosome could account for its different behavior, we performed additional simulations to test whether or not similar proximity to the chromosome end could affect coverage probabilities for a simulated QTL placed between widely spaced markers.

Simulations were performed without ADP (apo-ANT1 simulations) to test whether lysine acetylation affects the structure or dynamics of apo-ANT1.

Fourth, we use coalescent simulations to test whether populations from different mountains have descended from a single ancestor (single refugium), or, alternatively, remained isolated on individual mountains during down-slope expansions (multiple refugia).

Lastly, we developed a simulation model to test whether the combination of 87Sr/86SrF and δDF would increase the probability of correctly assigning individuals to their site of origin over using either isotope alone.

We also used kinetic simulation to test whether the behaviors of death versus slippage in cell populations where both pathways are active can be quantitatively recapitulated by a model that assumes stochastic competition between the pathways.

In this paper, we used experimental perturbation and kinetic simulation to test whether the two cell fate-determining processes induced by mitotic arrest, i.e. mitotic death and mitotic slippage, occur by pathways that are, or are not, mechanistically coupled and/or kinetically correlated.

We performed a simulation to test whether the trends were significant, that is, we re-computed the hub proportion 1, 000 times with randomly chosen nodes (the same number of nodes as hubs) and the trends seemed to be significant.

> We also performed a Monte Carlo simulation to test whether the observed difference of the FABS-NC′ scores of 30% of Z-IETD and Z-LEHD data using 80% of control data for training is significant against pairs of null data sets sampled from the same drug treatment populations.