Unknown

Dataset Information

MiNEApy: enhancing enrichment network analysis in metabolic networks.


ABSTRACT:

Motivation

Modeling genome-scale metabolic networks (GEMs) helps understand metabolic fluxes in cells at a specific state under defined environmental conditions or perturbations. Elementary flux modes (EFMs) are powerful tools for simplifying complex metabolic networks into smaller, more manageable pathways. However, the enumeration of all EFMs, especially within GEMs, poses significant challenges due to computational complexity. Additionally, traditional EFM approaches often fail to capture essential aspects of metabolism, such as co-factor balancing and by-product generation. The previously developed Minimum Network Enrichment Analysis (MiNEA) method addresses these limitations by enumerating alternative minimal networks for given biomass building blocks and metabolic tasks. MiNE

SUBMITTER: Pandey V 

PROVIDER: S-EPMC11889450 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature