Author

Gianvito Grasso

University of Applied Sciences and Arts of Southern SwitzerlandORCID 0000-0002-7761-222XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:protein folding & dynamics· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrea DananiiD· 1 shared Antoine Buetti‐DinhiD· 1 shared Carmen LanzillottiiD· 1 shared Claudia SiverinoiD· 1 shared Elena Della BellaiD· 1 shared Elisa PiantaiD· 1 shared Fabrizio ChitiiD· 1 shared Jorge Ubeda Garrido· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

Andrea DananiORCID

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintFeb 13, 2026

Modulation of ossification and inflammatory pathways during dexamethasone-induced in vitro osteogenesis

Antoine Buetti‐Dinh, Claudia Siverino, Jorge Ubeda Garrido…·Elena Della Bella

This study investigates how dexamethasone affects osteogenic differentiation of human bone marrow stromal cells, identifying gene and pathway changes linked to ossification and inflammation.

1 citation

humanbulk RNA-seq

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BiophysicsbioRxivPreprintJan 31, 2024

Leveraging Machine Learning-Guided Molecular Simulations Coupled with Experimental Data to Decipher Membrane Binding Mechanisms of Aminosterols

Stefano Muscat, Silvia Errico, Andrea Danani…·Gianvito Grasso

This paper uses machine learning and simulations to study how aminosterols bind to neuron-like membranes, showing accurate predictions matching experimental data.

DOI 10.1101/2024.01.31.578042

deep learningprotein folding & dynamics

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