DEXOM: Diversity-based enumeration of optimal context-specific metabolic networks.

ABSTRACT: The correct identification of metabolic activity in tissues or cells under different conditions can be extremely elusive due to mechanisms such as post-transcriptional modification of enzymes or different rates in protein degradation, making difficult to perform predictions on the basis of gene expression alone. Context-specific metabolic network reconstruction can overcome some of these limitations by leveraging the integration of multi-omics data into genome-scale metabolic networks (GSMN). Using the experimental information, context-specific models are reconstructed by extracting from the generic GSMN the sub-network most consistent with the data, subject to biochemical constraints. One advantage is that these context-specific models have more predictive power since they are tailored to

SUBMITTER: Rodriguez-Mier P 

PROVIDER: S-EPMC7904180 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature