Jon-Michael Beasley

University of North Carolina at Chapel Hill — United States

Computer Science · Physical Sciences

3h-index56citations16works2.72yr avg
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Research Topics

Computational Drug Discovery Methods(4), Biomedical Text Mining and Ontologies(3), Pharmacogenetics and Drug Metabolism(2), Bioinformatics and Genomic Networks(2), Advanced Graph Neural Networks(2)

Publications16 total

GAME+: lossless knowledge-graph compression for improving the efficiency and effectiveness of rule mining
International Journal of Data Science and Analytics·2025Open Access
Challenges of broad-spectrum antiviral drug discovery and development for emerging pathogens
Drug Discovery Today·2025
Elucidating the mechanistic relationships between peroxisome proliferator–activated receptors and hepatic fibrosis using the ROBOKOP knowledge graph
UNC Libraries·2025Open Access
TARRAGON: Therapeutic Target Applicability Ranking and Retrieval-Augmented Generation Over Networks
2025· 2 citedOpen Access
Elucidating the mechanistic relationships between peroxisome proliferator–activated receptors and hepatic fibrosis using the ROBOKOP knowledge graph
Frontiers in Toxicology·2025· 2 citedOpen Access
Pharmacokinetics Profiler (PhaKinPro): Model Development, Validation, and Implementation as a Web Tool for Triaging Compounds with Undesired Pharmacokinetics Profiles
UNC Libraries·2025Open Access
Breaking the Phalanx: Overcoming Bacterial Drug Resistance with Quorum Sensing Inhibitors that Enhance Therapeutic Activity of Antibiotics
2025· 2 citedOpen Access
FPP-Hunter: Expert-Guided Discovery Of Functional Path Patterns
2024
Towards Improving the Efficiency of Drug Repurposing by Leveraging Node Promiscuity in Biomedical Knowledge Graphs
ACM Transactions on Computing for Healthcare·2024· 1 citedOpen Access
ExEmPLAR (Extracting, Exploring, and Embedding Pathways Leading to Actionable Research): a user-friendly interface for knowledge graph mining
UNC Libraries·2024Open Access
Pharmacokinetics Profiler (PhaKinPro): Model Development, Validation, and Implementation as a Web Tool for Triaging Compounds with Undesired Pharmacokinetics Profiles
Journal of Medicinal Chemistry·2024· 23 cited
ExEmPLAR (Extracting, Exploring, and Embedding Pathways Leading to Actionable Research): a user-friendly interface for knowledge graph mining
Bioinformatics·2024· 2 citedOpen Access
<i>Praemonitus praemunitus</i>: can we forecast and prepare for future viral disease outbreaks?
FEMS Microbiology Reviews·2023· 16 citedOpen Access
Novel Pharmacokinetics Profiler (PhaKinPro): Model Development, Validation, and Implementation as a Web-Tool for Triaging Compounds with Undesired PK Profiles
2023· 3 citedOpen Access
Integrated approach to elucidate metal-implant related adverse outcome pathways
Regulatory Toxicology and Pharmacology·2022· 5 cited
TEXT MINING OF THE PEOPLE’S PHARMACY RADIO SHOW TRANSCRIPTS CAN IDENTIFY NOVEL DRUG REPURPOSING HYPOTHESES
2022Open Access

Frequent Co-authors

Alexander Tropsha(16), Eugene Muratov(11), Zoe L. Sessions(6), Daniel Korn(6), Marielle Rath(5), Holli‐Joi Martin(5), Vinícius M. Alves(5), Nyssa Tucker(5), Rada Chirkova(5), Cleber C. Melo‐Filho(4), Alexey Zakharov(4), Chris Bizon(4), Kara Schatz(4), James Wellnitz(3), Joshua E. Hochuli(3), Guilherme Martins Silva(3), Konstantin I. Popov(3), Artem Cherkasov(3), Maxfield Travis(2), Nathaniel J. Moorman(2)