Author

Joseph A. Morrone

IBM (United States)ORCID 0000-0001-8550-4854Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:graph neural network· 1 Assay:protein structure· 1 Assay:proteomics· 1

Frequent Co-Authors

Christina GaughaniD· 1 shared Claudia Marcela Diaz-MonteroiD· 1 shared Dylan AdlardiD· 1 shared Dylan DissanayakeiD· 1 shared Efrat HexteriD· 1 shared Gyanu ParajuliiD· 1 shared Ivan JurićiD· 1 shared Jeffrey A. KnaufiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperImmunology

Christina GaughanORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintMay 19, 2026

Engineering Endogenous T Cell Receptors to Recognize Cancer Neoantigens Using a Hybrid Physics-AI Approach

Jeffrey K. Weber, Gyanu Parajuli, S H Wang…·Timothy An-thy Chan

The paper uses a hybrid physics-AI approach to engineer functional TCRs targeting cancer neoantigens, showing improved efficacy compared to patient-derived TCRs.

1 citation

humanproteomics

𝕏 PostBluesky

MicrobiologyBMC MicrobiologyPeer-reviewedMar 3, 2026

Predicting pyrazinamide resistance in Mycobacterium tuberculosis using a graph convolutional network

Dylan Dissanayake, Viktoria Brunner, Dylan Adlard…·Philip William Fowler

This study uses a graph convolutional network to predict pyrazinamide resistance in Mycobacterium tuberculosis by integrating protein structure and residue-level features, achieving high accuracy.

1 citation

humanprotein structure

𝕏 PostBluesky