Author

Ryan Kassab

University of Wisconsin–Madison

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

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

Frequent Co-Authors

Gennady M. VerkhivkeriD· 1 shared Keerthi KrishnaniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Gennady M. VerkhivkerORCID

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1 paper

Recent·Most cited

From Latent Manifolds to Functional Probes: An Interpretable, Kinome-Scale Generative Machine Learning Framework for Family-Targeted Kinase Inhibitor Design

Ryan Kassab, Keerthi Krishnan, Gennady M. Verkhivker

This paper introduces a generative framework for designing SRC kinase inhibitors, showing that inhibitors organize into a low-dimensional manifold and highlighting representation gaps in SMILES-based generation.

bioRxiv · Jan 7, 2026 · PreprintBioinformatics