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Category Archives: Published Works

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October 10 2026
  • Published Works

Internal Grant Review: A Pre-Submission Program for Early-Career Clinical and Translational Researchers

bioRxiv [Preprint]. 2026 Sep 28:2026.09.21.753152. doi: 10.64898/2026.09.21.753152. ABSTRACT The iTHRIV Scholars Mentored Career Development Program initiated an Internal Grant Review (IGR) program in 2020 for current and recently graduated Scholars seeking funding through K and R awards from the NIH. The IGR program is designed to replicate the NIH review process and provide Scholars the […]

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September 18 2026
  • Published Works

Integrative genome-scale metabolic model of GABAergic neurons reveals metabolic signatures across the mild cognitive impairment – Alzheimer disease continuum

Front Syst Biol. 2026 Sep 3;6:1897648. doi: 10.3389/fsysb.2026.1897648. eCollection 2026. ABSTRACT INTRODUCTION: Mild cognitive impairment (MCI) represents a prodromal stage of Alzheimer’s disease (AD), but the metabolic mechanisms underlying early neuronal dysfunction remain incompletely understood. GABAergic neurons, which maintain excitatory-inhibitory balance and network stability, exhibit early vulnerability during neurodegeneration, although the metabolic alterations associated with […]

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July 31 2026
  • Published Works

Benchmarking biochemical networks generated by large language models

Elife. 2026 Jul 31;15:RP109709. doi: 10.7554/eLife.109709. ABSTRACT Computational models of biochemical networks provide frameworks for predicting how molecular cues guide cell decisions. These models are typically limited by the time-intensive manual curation required to extract network mechanisms from incomplete literature. Here, we test whether general-purpose large language models (LLMs) can generate accurate models of signaling […]

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July 20 2026
  • Published Works

Integrating multi-omics data with network modeling to characterize Pseudomonas aeruginosa persister cell metabolism

J Bacteriol. 2026 Jul 20:e0037325. doi: 10.1128/jb.00373-25. Online ahead of print. ABSTRACT Pseudomonas aeruginosa is a gram-negative bacterial pathogen capable of forming antimicrobial-tolerant subpopulations known as persister cells. These cells are transient phenotypic variants that can tolerate antimicrobial treatment and have been associated with chronic infections and the development of antibiotic resistance. While persister cells […]

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July 2 2026
  • Published Works

Mucin-induced metabolic reprogramming in Pseudomonas aeruginosa clinical isolates

mSystems. 2026 Jul 2:e0058026. doi: 10.1128/msystems.00580-26. Online ahead of print. ABSTRACT Mucins modulate microbial metabolism, which is crucial in many human infections. It is unknown whether the metabolic alterations induced by mucin are universal or unique across varied clinical isolates of bacterial pathogens. We experimentally profiled a representative set of seven clinical Pseudomonas aeruginosa isolates […]

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June 30 2026
  • Published Works

Environmental former Massilia group bacteria secrete metabolites that promote Leptospira growth

mSystems. 2026 Jun 30:e0063826. doi: 10.1128/msystems.00638-26. Online ahead of print. ABSTRACT Understanding pathogen metabolism is critical for identifying key functions for drug targeting, establishing effective in vitro experimental systems, particularly for metabolically unique organisms such as Leptospira. Pathogenic Leptospira are thought to infect humans from environmental sources; however, direct isolation from environmental samples remains technically […]

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June 12 2026
  • Published Works

Genome-scale metabolic modelling identifies vaginal microbiome members as potential probiotics

Nat Microbiol. 2026 Jun 12. doi: 10.1038/s41564-026-02380-w. Online ahead of print. ABSTRACT Probiotic supplements are marketed for diverse health benefits, yet species inclusion often lacks functional rationale. Our survey of 352 over-the-counter probiotic products available in the USA revealed 36 unique microbial species. However, there is no clear link between species inclusion and the intended […]

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February 27 2026
  • Published Works

Enzyme-enhanced RNA isolation from biofilm-producing bacteria

Microbiol Spectr. 2026 Feb 27:e0307725. doi: 10.1128/spectrum.03077-25. Online ahead of print. ABSTRACT RNA isolation is a critical first step for gene expression analysis; however, obtaining high-quality RNA from polysaccharide-rich or biofilm-producing microbial samples remains challenging. High polysaccharide content hinders cell lysis, decreases RNA yield, and reduces sample purity, limiting the reliability and accuracy of downstream […]

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November 20 2025
  • Published Works

Metabolic network analysis of Crohn’s disease reveals sex- and age-specific cellular phenotypes

Cell Syst. 2025 Nov 19;16(11):101447. doi: 10.1016/j.cels.2025.101447. ABSTRACT Crohn’s disease (CD) is an inflammatory gastrointestinal disease affecting approximately 1 in 1,000 people in North America. Incidence of pediatric CD has been rising in recent decades, and this group is especially at risk of more severe disease development because of the association of CD with developmental […]

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November 13 2025
  • Published Works

Characterizing Spatiotemporal Expansion of Pseudomonas aeruginosa Communities in Polymer and Mucin Gel Environments

Biotechnol Bioeng. 2025 Nov 13. doi: 10.1002/bit.70098. Online ahead of print. ABSTRACT Opportunistic colonization and recurring infection by Pseudomonas aeruginosa are substantial risks to lung functionality for people with underlying respiratory diseases such as cystic fibrosis and chronic obstructive pulmonary disease. The complex metabolic and phenotypic adaptations P. aeruginosa exhibits in response to its environmental […]

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Recent Posts

  • Internal Grant Review: A Pre-Submission Program for Early-Career Clinical and Translational Researchers
  • Integrative genome-scale metabolic model of GABAergic neurons reveals metabolic signatures across the mild cognitive impairment – Alzheimer disease continuum
  • Benchmarking biochemical networks generated by large language models
  • Integrating multi-omics data with network modeling to characterize Pseudomonas aeruginosa persister cell metabolism
  • Mucin-induced metabolic reprogramming in Pseudomonas aeruginosa clinical isolates
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Computational Systems Biology Laboratory; The research group of Dr. Jason Papin in the Department of Biomedical Engineering at the University of Virginia.

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The research group of Dr. Jason Papin in the Department of Biomedical Engineering at the University of Virginia

  • Email: papinlab@virginia.edu
  • Phone (434) 924-8195

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