Sentence examples for model provides important from inspiring English sources

In summary, this mouse model provides important insights into CLC development and suggests inhibition of phosphatidylinositol 3-kinase (PI3K) signaling as a potential therapeutic strategy for targeting CLC.

Thus, the present mathematical model provides important implications for designing new therapeutic strategies that aim to restore antitumor immunity by targeting MDSCs.

This model provides important insights into dynamics of cell subpopulations during megakaryopoiesis process and could potentially contribute toward the rational design of cell-based therapy bioprocesses.

Apart from being simple, and thereby providing an intuitive framework, the model provides important lessons for policy design, e.g., through highlighting the difference between initial responses to policies and the outcome in equilibrium both in the short and the long run.

This model provides important insights into the design of our protocol and has been used to evaluate the performance of other related protocols.

While the sophisticated aforementioned model provides important insights into TDR patterns, it did not appear to account for changes in HIV treatment options afforded by the newest ART medications, possibly explaining the differences in results.

Despite the shortcomings due to carrying out molecular dynamics (MD) simulations in the absence of an explicit membrane environment, our TM model provided important structural insights into the effects of the point mutation methionine to threonine at position 34 of Cx26 (Cx26M34T) within the TM phase of the connexon.

Due to complex interaction between root traits and high diversity of hydrological conditions, modeling provides important information for trait based selection.

Histopathological evaluation of structural abnormalities in mutant mouse models provides important insights into gene function and mechanisms of pathogenesis, by identifying the morphological consequences of genetic mutations that are linked to disease.

Physiologically based pharmacokinetic modeling provides important capabilities for improving the reliability of the extrapolations across dose, species, and exposure route that are generally required in chemical risk assessment regardless of the toxic end point being considered.

State-of-the-art ice sheet models provide important insights, but are often computationally too demanding to evaluate tail-area risks.