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A method for analysis and design of metabolism using metabolomics data and kinetic models: Application on lipidomics using a novel kinetic model of sphingolipid metabolism

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A method for analysis and design of metabolism using metabolomics data and kinetic models: Application on lipidomics using a novel kinetic model of sphingolipid metabolism

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Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states

The effects of model complexity and size on metabolic flux distribution and control: case study in Escherichia coli

Single-cell lipidomics reveals a role for cell-to-cell sphingolipid heterogeneity in fibroblast activation

Organohalide respiration in Firmicutes: energy metabolism and transcription regulation

Modeling, predicting and mining metabolism at atom-level resolution

Algorithms and flowchart for the design of synthetic biochemical networks

Single yeast cell nanomotions correlate with cellular activity

Towards comprehensive and consistent kinetic models of metabolism under uncertainty

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

Mapping the diverse phenotypic states of yeast lipid metabolism to enzymes using mechanistic kinetic models