Author

Alexander Dunmyre

The University of Texas at Austin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Andrew D. EllingtoniD· 1 shared Ayesha J. S. MahmoodiD· 1 shared Clayton W. KosonockyiD· 1 shared Daniel WinkleriD· 1 shared Despoina A. I. MavridouiD· 1 shared Edward M. MarcotteiD· 1 shared Eric V. AnslyniD· 1 shared Filip Kadeřábek· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andrew D. EllingtonORCID

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1 paper

Recent·Most cited

Learning from human and chemical languages to predict biological function

Clayton W. Kosonocky, Nikol Kadeřábková, Kangsan Kim, Ayesha J. S. Mahmood, Alexander Dunmyre, Phillip R. Woolley, Kristi Xing, Daniel Winkler, Tomer Babu, Filip Kadeřábek, Jonathan L. Sessler, Eric V. Anslyn, Edward M. Marcotte, Yan Zhang, Andrew D. Ellington, Despoina A. I. Mavridou

This paper introduces a deep learning model that predicts biological function from chemical structure using scientific literature, identifying effective inhibitors of beta-lactamases.

bioRxiv · Aug 17, 2026 · PreprintBioinformatics