Article

Unraveling principles of thermodynamics for genome-scale metabolic networks using graph neural networks

2024-01-17

Abstract excerpt

The fundamental laws of thermodynamics determine the feasibility of all natural processes including metabolism. Although several algorithms have been developed to predict the most important thermodynamic parameter, the standard Gibbs free energy, for metabolic reactions and metabolites, their application to genome-scale metabolic networks (GEMs) with thousands of metabolites and reactions is still limited. Here, w...

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Literature Corpus work: eae6145c-34f1-5ad6-8534-4f22245ee6aa
DOI: 10.1101/2024.01.15.575679

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