Author

Kangsan Kim

The University of Texas at AustinORCID 0000-0002-5283-8644Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Alexander Dunmyre· 1 shared 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

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Alexander Dunmyre

Mutual co-authors in cluster

Author profile →

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