EHMN 2026: A Thermodynamically Refined, SBML-Standardised Human Metabolic Network for Genome-Scale Analysis and QSP Integration

Background: Genome-scale metabolic models (GEMs) are foundational tools for systems biology, enabling quantitative interrogation of human metabolism across physiological and pathological states. However, many legacy reconstructions exhibit heterogeneous identifier usage, incomplete pathway integrati...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Igor Goryanin, Leonid Slovianov, Stephen Checkley, Irina Goryanin
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2026-03-01
Sarja:	Metabolites
Aiheet:	genome-scale metabolic model (GEM) human metabolic reconstruction SBML standardisation flux balance analysis (FBA) thermodynamic refinement quantitative systems pharmacology (QSP)
Linkit:	https://www.mdpi.com/2218-1989/16/4/236
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