Sentence examples for metabolic models enable from inspiring English sources

Genome-scale metabolic models enable global analysis of microbial metabolism by considering all metabolic reactions simultaneously.

Genome-scale metabolic model enabled the systems level gene deletion analysis for growth in defined medium.

The simulation results demonstrated that integration of gene expression with metabolic network models enabled us to capture aspects of the response of S. cerevisiae that would not have been possible by the independent analyses of the gene expression data or the metabolic network alone.

However, the number of available tissue-specific metabolic models, which enable the systematic simulation of metabolic functions in normal and disease contexts, remains relatively small.

New optimization-based methods are being developed by using genome-scale metabolic models, which enable identification of gene knockout strategies for obtaining improved phenotypes.

The integration of available genomic and metabolomic data through the generation of genome scale metabolic models has enabled the development of computational models that predict the behaviour of organisms under specific conditions and present a route to metabolic engineering.

This algorithm integrates gene expression data with topological information from metabolic models and enables the identification of small and coordinated changes in expression levels due to genetic or environmental perturbations.

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.

This is, at some level, due to the lack of an in silico comprehensive metabolic model that enables the integration of canonical experimental data in a coherent fashion.

However, global understanding of the capabilities of P. putida KT2440 requires the construction of a metabolic model that enables the integration of classical experimental data along with genomic and high-throughput data.

The logical transformation of the genome-scale metabolic models (LTM) could enable a gene-level prediction, that is, direct gene targets would be determined through APGC.