Author

Roseanne M. Ford

University of VirginiaORCID 0000-0001-6763-3927Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Jason A Papin· 1 shared Morgan S KimiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperSystems Biology

Jason A Papin

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

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

𝕏 PostBluesky