Author

Bruno Hagenbuch

University of Kansas Medical CenterORCID 0000-0002-2938-8630Unclaimed ORCID profile · follow to get notified of new preprints

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Bruno Hagenbuch1 paper

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Alexander Aljets· 1 shared Benjamin J. OrlandoiD· 1 shared Daniel R. WoldringiD· 1 shared Erik M. ShapiroiD· 1 shared Joelle N. EavesiD· 1 shared Mehrsa MardikoraemiD· 1 shared Nathaniel PascualiD· 1 shared Theodore BelecciuiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioengineering

Alexander Aljets

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1 paper

Recent·Most cited

Predicting Inhibitors of OATP1B1 via Heterogeneous OATP-Ligand Interaction Graph Neural Network (HOLIgraph)

Mehrsa Mardikoraem, Joelle N. Eaves, Theodore Belecciu, Nathaniel Pascual, Alexander Aljets, Bruno Hagenbuch, Erik M. Shapiro, Benjamin J. Orlando, Daniel R. Woldring

This paper introduces HOLIgraph, a graph neural network model that predicts OATP1B1 inhibitors by integrating ligand features and protein-ligand interactions, achieving over 90% balanced accuracy.

Journal of Cheminformatics · May 5, 2025Peer-reviewedBioengineering