Author

Matthew J. Cannon

Nationwide Children's HospitalORCID 0000-0003-1908-7292Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Adam C. CoffmaniD· 2 shared Alex Handler WagneriD· 2 shared Joshua F. McMichaeliD· 2 shared Lars E. SchimmelpfennigiD· 2 shared Malachi GriffithiD· 2 shared Obi L. GriffithiD· 2 shared Susanna KiwalaiD· 2 shared Anastasia Bratulin· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Adam C. CoffmanORCID

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2 papers

Recent·Most cited

Searching the Druggable Genome using Large Language Models

Lars E. Schimmelpfennig, Matthew J. Cannon, Quentin Cody, Joshua F. McMichael, Adam C. Coffman, Susanna Kiwala, Kilannin Krysiak, Alex Handler Wagner, Malachi Griffith, Obi L. Griffith

The paper develops a server enabling large language models to access drug-gene interaction data through natural language queries.

Bioinformatics · Aug 22, 2026Peer-reviewedBioinformatics

dgiLIT: A Method for Prioritization and AI Curation of Drug-Gene Interactions

Matthew J. Cannon, Anastasia Bratulin, James Stevenson, Kathryn Perry, Adam C. Coffman, Susanna Kiwala, Lars E. Schimmelpfennig, Heather M. Costello, Joshua F. McMichael, Malachi Griffith, Obi L. Griffith, Alex Handler Wagner

The paper introduces dgiLIT, an AI-driven method to prioritize and curate drug-gene interactions from biomedical literature for inclusion in DGIdb, achieving high validation rates.

bioRxiv · Jan 19, 2026 · PreprintBioinformatics