Author

Isaiah Hazelwood

University of California San FranciscoORCID 0000-0003-4199-9765Unclaimed ORCID profile · follow to get notified of new preprints

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Isaiah Hazelwood1 paper · University of Toronto

Biology Disciplines

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:statistical model· 1

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Gabriella EstevamiD· 1 shared James S FraseriD· 1 shared Jingyou RaoiD· 1 shared Karson ChrispensiD· 1 shared Matthew K. HowardiD· 1 shared Willow Coyote-MaestasiD· 1 shared Ziyue ZouiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBiophysics

Gabriella EstevamORCID

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1 paper

Recent·Most cited

BiophysicsbioRxivPreprintNov 3, 2026

Learning inhibitor interactions from protein deep mutational scanning data and deep learning models

Ziyue Zou, Isaiah Hazelwood, Gabriella Estevam…·James S Fraser

The paper benchmarks AI models for predicting mutational effects and drug-target affinity using deep mutational scanning data, finding that current models fail to capture inhibitor-dependent fitness landscapes.

DOI 10.64898/2026.11.01.763444

proteomicsdeep learning

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