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redGEM: Systematic reduction and analysis of genome-scale metabolic reconstructions for development of consistent core metabolic models

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redGEM: Systematic reduction and analysis of genome-scale metabolic reconstructions for development of consistent core metabolic models

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Modeling metabolic and signaling pathways in cancer cells

Modeling, predicting and mining metabolism at atom-level resolution

Mapping and Analysis of the Complexity of Lipid Metabolism for Applications in Health and Sustainability

Algorithms and flowchart for the design of synthetic biochemical networks

Mechanistic insights into bacterial metabolic reprogramming from omics-integrated genome-scale models

Towards comprehensive and consistent kinetic models of metabolism under uncertainty

Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrations

Systematic reduction of genome-scale models for the study of metabolic phenotypes of human cells

Studying cancer cells phenotypes integrating omics data in human reduced genome-scale metabolic models.

ETFL: A Formulation of ME-Models Accounting for Expression and Thermodynamics in Constraint-Based Models