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

2026-02-27

Abstract excerpt

<h4>Background: </h4> 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 integration, and limited thermodynamic refinement, constraining reproducibility, interoperability, and translational...

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Literature Corpus work
a9635076-d78b-5341-a568-1c1490510782
DOI
10.20944/preprints202602.1719.v1
Open publication

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EHMN 2026: A Thermodynamically Refined, SBML-Standardised Human Metabolic Network for Genome-Scale Analysis and QSP IntegrationDOI 10.20944/preprints202602.1719.v1
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