Author

Kaliroi Peqini

University of MilanORCID 0009-0004-7053-2456Unclaimed 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

Cancer BiologybioRxivPreprintAug 10, 2026

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…·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.

DOI 10.64898/2026.08.08.742959

humanproteomics

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Kaliroi Peqini · henhao