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C. Fócil-Espinosa

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Open access Jul 2026

Predicting Strain-Specific Metabolic Capabilities in the Genus Pseudomonas with a Flux-to-AI Approach Reveals Hidden Cell Envelope Properties

Rec reconstructed genome-scale metabolic models of 44 Pseudomonas strains from various environments and investigated their capabilities to metabolize different carbon sources and metabolic intermediaries, demonstrating how GEM-predicted capabilities can differentiate between strains and that high metabolic versatility is associated with the predicted ability of the strains to remove toxic compounds while maintaining core functionalities.

C. Fócil-Espinosa, Christopher Dalldorf, Diego Martinez et al. · 0 citations