Author

Giovanni Grazioso

University of MilanORCID 0000-0002-3261-9356Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:comparative / phylogenetic analysis· 1 Approach:deep learning· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Andrea CavalliiD· 2 shared Enrico Mario Alessandro FassiiD· 2 shared Gabriella RodaiD· 2 shared Jacopo SgrignaniiD· 2 shared Alessandro GoriiD· 1 shared Edisa PiraniiD· 1 shared Edoardo Sisti· 1 shared Elena MasperoiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersCancer Biology

Andrea CavalliORCID

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2 papers

Recent·Most cited

AI-Driven Computational Design of Peptide-Based WWP1 Inhibitors as Promising Therapeutic Agents Against Breast Cancer, Including Triple-Negative Subtype

Enrico Mario Alessandro Fassi, Sara Mathlouthi, Elena Maspero, Edoardo Sisti, Giulia Tamboia, Giuseppe Vita, Fabio Forlani, Simona Polo, Alessandro Gori, Kaliroi Peqini, Sara Pellegrino, Gabriella Roda, Jacopo Sgrignani, Andrea Cavalli, Luisa De Cola, , Giovanni Grazioso

This study uses AI to design a peptide inhibitor of WWP1, showing potent activity against breast cancer, especially TNBC, with promising cytotoxic effects and synergistic potential with PI3K inhibitors.

bioRxiv · Aug 10, 2026 · PreprintCancer Biology

A Potent Nonapeptide Inhibitor for the CXCL12/HMGB1 heterocomplex: A Computational and Experimental Approach

Enrico Mario Alessandro Fassi, Edisa Pirani, Valentina Cecchinato, Andrea Cavalli, Gabriella Roda, Mariagrazia Uguccioni, Jacopo Sgrignani, Giovanni Grazioso

The paper computationally optimizes a peptide inhibitor of the CXCL12/HMGB1 heterocomplex, resulting in a variant with significantly improved affinity and activity.

Computational and Structural Biotechnology Journal · Jan 1, 2025Peer-reviewedBiochemistry