Author

Jason A Papin

University of VirginiaPrimary ORCID profile (0000-0002-2769-5805 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Jason A PapiniD1 paper · University of Virginia

Biology Disciplines

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Systems Biology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Angela Liu· 1 shared Anne Archer· 1 shared Matthew B Biggs· 1 shared Matthew Biggs· 1 shared Morgan S KimiD· 1 shared Roseanne M. FordiD· 1 shared

Activity by Year

2016-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 4 mutual co-author links

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1 shared paperMicrobiology

Angela Liu

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3 papers

Recent·Most cited

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

Managing Uncertainty in Metabolic Network Structure and Improving Predictions Using EnsembleFBA

Matthew Biggs, Jason A Papin

This paper introduces EnsembleFBA, an ensemble method that improves predictive accuracy of draft genome-scale metabolic networks without significantly increasing reconstruction time.

PLOS Computational Biology · Mar 6, 2017Peer-reviewedSystems Biology

Growth-Altering Microbial Interactions Are Highly Sensitive to Environmental Context

Angela Liu, Anne Archer, Matthew B Biggs, Jason A Papin

The paper develops a workflow to infer microbial interactions and shows that benzo[a]pyrene alters lung microbiome interaction networks.

bioRxiv · Oct 4, 2016Microbiology