Author

Luisa De Cola

University of MilanORCID 0000-0002-2152-6517Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alessandro GoriiD· 1 shared Andrea CavalliiD· 1 shared Edoardo Sisti· 1 shared Elena MasperoiD· 1 shared Enrico Mario Alessandro FassiiD· 1 shared Fabio ForlaniiD· 1 shared Gabriella RodaiD· 1 shared Giovanni GraziosoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Alessandro GoriORCID

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1 paper

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