Sentence examples for metabolic models improve from inspiring English sources

The successes of this technology will likely progress as metabolic models improve and as metabolomic data becomes integrated into genome-scale metabolic models.

With the S. pombe genome-scale metabolic model improved through RING, its metabolic capabilities were examined and compared to the metabolic capabilities of the S. cerevisiae genome-scale metabolic model.

While metabolic models are improving their accuracy in predicting gene essentiality, only genes involved in metabolism are represented in these models.

This approach can improve our understanding of glycolytic flux regulation improving metabolic models and engineering efforts.

This strategy was applied to improve metabolic models of E. coli[ 21] and Chlamydomonas reinhardtii[ 22].

By measuring carefully key biological parameters and contrasting simulation results with available experimental data, this work enabled to explain missing links and inconsistencies in the previously developed genome-scale metabolic model (iJP815), and improved considerably its accuracy, providing thereby a more solid basis for its use in designing biotechnological metabolic processes.

On the other hand, the computational complexity of steady-state analyses hinders the analysis of large metabolic models, though recent studies have improved the efficiency of methods [ 22].

Together these metabolic models provide an important resource for improving strategies on bioremediation and bioenergy generation.

Such in-depth analyses can identify key GIT microbiota community members, identify essential genes associated with the GIT microbiota, and improve metabolic modeling to predict the physiology of dominant organisms in environments undergoing global changes (Greenblum et al. 2012; Karlsson et al. 2013; Qin et al. 2010).

The varying role of hierarchical regulation for network reactions has limited the utilization of gene-expression data to improve predictions of genome-scale metabolic models.

Overall, our study demonstrates the value of bringing to bear multi-gene deletion data to further improve the predictive capability of genome-scale metabolic models.