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Red alert 1 gems10/11/2023 ![]() ![]() We provide the thermodynamic curation of the human GEMs Recon2 and Recon3D and we apply the redHUMAN workflow to derive leukemia-specific reduced models. We introduce a method (redGEMX) to incorporate the pathways used by cells to adapt to the medium. The reductions include the thermodynamic properties of compounds and reactions guaranteeing the consistency of predictions with the bioenergetics of the cell. We present here redHUMAN, a workflow for reconstructing reduced models that focus on parts of the metabolism relevant to a specific physiology using the recently established methods redGEM and lumpGEM. However, the complexity of these networks hinders a consistent and concise physiological representation. ![]() Human genome-scale metabolic models (GEMs) were reconstructed within systems biology to study the biochemistry occurring in human cells. Altered metabolism is associated with many human diseases.
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