Author

Stefano Motta

University of Milano-BicoccaORCID 0000-0002-0812-6834Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cancer & tumor microenvironment· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:multiome· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Alessandro PandiniiD· 1 shared Andrew C.B. CatoiD· 1 shared Barbara BellettiiD· 1 shared Christine BlattneriD· 1 shared Christoph W. GrathwoliD· 1 shared Ferdoos Hossein NezhadiD· 1 shared Gary R. DavidsoniD· 1 shared Gianluca Santini· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

Alessandro PandiniORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintMay 21, 2026

Spatiotemporal graph neural networks reveal conformational binding signature in protein dynamics

Stefano Motta, Gianluca Santini, Samman Mansoor…·Alessandro Pandini

This paper introduces a deep learning method to identify conformational binding signatures in protein dynamics from molecular simulations.

DOI 10.64898/2026.05.19.726195

multiomedeep learning

Cancer BiologybioRxivPreprintJul 28, 2025

Distinct 2-phenyl-imidazo pyridine derivatives drive ER degradation and selectively impair proliferation of ER+ breast cancer cells via the aryl hydrocarbon receptor

Katrin Koellisch, Christine Blattner, Stefano Motta…·Andrew C.B. Cato

The paper identifies X15695 as an AHR ligand that promotes ER degradation and inhibits ER+ breast cancer cell proliferation more effectively than fulvestrant.

1 citation

humanexperimental assay