Sentence examples for used computational models to from inspiring English sources

We used computational models to study mechanisms by which intra-RE inhibition abbreviates and desynchronizes intrathalamic oscillations.

Finally, in order to assess the therapeutic relevance of genomic classification, we used computational models to determine the activation status of oncogenic pathways, for which specific targeted inhibitors are in clinical development in sarcoma, and studied the association of pathway activation with histologic subtype and chemoresponse.

Such manipulations could also apply to other well-characterized systems, as enticingly proposed by Behar et al. They used computational models to virtually screen for conditions yielding specific dynamics, then applied their findings to NF- κB-driven transcription.

Savage et al. (2012) used computational models to simulate a number of dispersal events and showed that sampling strategies based on mobile platforms have a much greater probability of detecting airborne spores than strategies based on stationary traps, and that mobile trap strategies required a far lower number of traps to achieve a reasonable probability of detection.

In order to understand which features of the Achilles tendon give rise to the nonuniform deformations observed in vivo, we used computational modeling to predict the mechanical contributions from different features of the tendon.

Here we have used computational modeling to get insight into this interaction.

To build upon this concept we used computational modeling to show that the YB-1 peptide tethers to RSK.

In this work we used computational modelling to demonstrate how rigid immobilisation would affect the mechanical stimuli generated in the developing knee joint and we investigated the impact of such immobilisation on the tissues of the developing joint at morphological and molecular levels.

Thus, we used computational modeling to compare models, with and without the subcortical pathway, and evaluated their predictions in terms of how well they explained evoked magnetoencephalographic (MEG) data.

With the aid of the crystal structure of the cysteine-rich domain in zebrafish Smoothened, Nachtergaele et al. used computational modelling to map oxysterol binding to a hydrophobic groove on the surface of this domain.

We next used computational modeling to quantitatively evaluate which of the 22 possible methylotrophic methanogenesis pathways most closely matches the experimental data (see Fig. S5 in the supplemental material).