Author

Morgan S Kim

University of VirginiaORCID 0000-0001-5789-0057Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:metabolomics· 1 Approach:statistical model· 1

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Jason A Papin· 1 shared Roseanne M. FordiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperSystems Biology

Jason A Papin

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1 paper

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Systems BiologybioRxivPreprintNov 6, 2026

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.

DOI 10.64898/2026.11.05.764552

bacteria (other)metabolomics

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