Author

Michele Roggia

University of Campania "Luigi Vanvitelli"ORCID 0009-0009-3860-2502Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Pharmacology & Toxicology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:drug response / drug discovery· 3 Organism:human· 3 Assay:proteomics· 2 Approach:statistical model· 2 Approach:machine learning (classical)· 1

Frequent Co-Authors

Sandro CosconatiiD· 3 shared Paweł KozielewicziD· 2 shared Caterina IeranòiD· 1 shared Cinzia VetreiiD· 1 shared Crescenzo D’AlterioiD· 1 shared Delia PretiiD· 1 shared Floriana MorgilloiD· 1 shared Fortunato CiardielloiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersPharmacology & Toxicology

Sandro CosconatiORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJul 6, 2026

Targeting the Tumor-Stroma Crosstalk: An AI-Based Virtual Screening Strategy for Dual MET/SMO Inhibitors in Pancreatic Cancer

Michele Roggia, Ugo Chianese, Giorgio Amendola…·Sandro Cosconati

An AI-identified dual SMO/c-MET inhibitor overcomes stromal resistance and degrades c-MET to suppress pancreatic cancer.

DOI 10.64898/2026.07.03.736313

humandeep learning

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Pharmacology & ToxicologyJournal of Chemical Information and ModelingPeer-reviewedJun 11, 2026

AI-Enforced Ultra-Large Virtual Screening Discovers Potent CD28 Binders

Saurabh Upadhyay, Michele Roggia, Shaoren Yuan…·Moustafa Tarek Gabr

This study uses AI-enhanced virtual screening to identify potent CD28 binders from a large chemical library, achieving submicromolar affinity and functional blockade.

1 citation

humanproteomics

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Pharmacology & ToxicologybioRxivPreprintJun 19, 2025

AI-Driven Virtual Screening and First-in-Class Conformational Biosensor Enable the Discovery of a GPR183 Inverse Agonist

Louise Andersson, Michele Roggia, Kittikorn Wangriatisak…·Paweł Kozielewicz

The paper discovers a GPR183 inverse agonist using AI-driven virtual screening and a conformational biosensor, showing inhibition of Gi activation and β-arrestin2 recruitment.

DOI 10.1101/2025.06.19.659764

humanproteomics

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