Coarse-graining genome-scale metabolic models for dynamic, multi-scale simulations of Pseudomonas aeruginosa in gel environments
Morgan S Kim, Jason A Papin, Roseanne M. Ford
This paper introduces GEM-CM, a computational framework that couples reaction-diffusion models with genome-scale metabolic models to simulate Pseudomonas aeruginosa growth and pyocyanin production in agar gels.
bioRxiv · Nov 6, 2026 · PreprintSystems Biology