Sentence examples for modeling enabled us from inspiring English sources

In summary, metabolic network modeling enabled us to interpret accumulated biological knowledge and to get a deeper understanding of global redox balancing mechanisms in PNSB.

The identified key features obtained from the molecular modeling, enabled us to design novel kinase inhibitors.

SD modeling enabled us to analyze multiple perspectives, considering the causal links, factor uncertainties, and different scenarios.

In the absence of a crystal structure for latent NS, MD simulations and computational modeling enabled us to propose a model for the structure of latent NS, based on its structural homology between cleaved NS [15] and latent AAT [30].

Petri net modeling enables us to verify the protocol of interest formally.

The deep integration of XL-MS and protein structure modeling enables us to overcome limitations associated with each method; a scoring function allows us to model larger quaternary structures, also with limited access to experimental tertiary structures.

The joint modeling enables us to devise a novel scene adaptive and signal adaptive quantization that fully exploits the coding redundancies resulting from wavelet transform.

Low-resolution structural modeling enables us to estimate the conformational entropies for a number of tertiary folds through rigorous statistical mechanical calculations.

Ecological modeling enables us to disentangle these interactions and explore them both separately and in combination, in fully controlled simulations.

The use of preclinical models enabled us to study the outcome of bevacizumab in combination with chemotherapy on EOC progression (first end point) and survival (second end point).

GWAS using the appropriate analysis model enabled us to identify several SNP markers significantly associated with QTL.