| Recent advances in in silico target fishing S Galati, M Di Stefano, E Martinelli, G Poli, T Tuccinardi Molecules 26 (17), 5124, 2021 | 32 | 2021 |
| VenomPred: A machine learning based platform for molecular toxicity predictions S Galati, M Di Stefano, E Martinelli, M Macchia, A Martinelli, G Poli, ... International Journal of Molecular Sciences 23 (4), 2105, 2022 | 24 | 2022 |
| Machine learning-based virtual screening for the identification of CDK5 inhibitors M Di Stefano, S Galati, G Ortore, I Caligiuri, F Rizzolio, C Ceni, S Bertini, ... International Journal of Molecular Sciences 23 (18), 10653, 2022 | 15 | 2022 |
| Discovery of monoacylglycerol lipase (MAGL) inhibitors based on a pharmacophore-guided virtual screening study V Jha, M Biagi, V Spinelli, M Di Stefano, M Macchia, F Minutolo, ... Molecules 26 (1), 78, 2020 | 11 | 2020 |
| MolBook UNIPI─ create, manage, analyze, and share your chemical data for free S Galati, M Di Stefano, M Macchia, G Poli, T Tuccinardi Journal of Chemical Information and Modeling 63 (13), 3977-3982, 2023 | 10 | 2023 |
| Reversible monoacylglycerol lipase inhibitors: discovery of a new class of benzylpiperidine derivatives G Bononi, M Di Stefano, G Poli, G Ortore, P Meier, F Masetto, I Caligiuri, ... Journal of medicinal chemistry 65 (10), 7118-7140, 2022 | 10 | 2022 |
| Co-Inhibition of P-gp and Hsp90 by an Isatin-Derived Compound Contributes to the Increase of the Chemosensitivity of MCF7/ADR-Resistant Cells to Doxorubicin AN Abdalla, M Di Stefano, G Poli, T Tuccinardi, A Bader, A Vassallo, ... Molecules 27 (1), 90, 2021 | 10 | 2021 |
| New PIN1 inhibitors identified through a pharmacophore-driven, hierarchical consensus docking strategy G Poli, M Di Stefano, JA Estevez, F Minutolo, C Granchi, A Giordano, ... Journal of Enzyme Inhibition and Medicinal Chemistry 37 (1), 145-150, 2022 | 8 | 2022 |
| VenomPred 2.0: A Novel In Silico Platform for an Extended and Human Interpretable Toxicological Profiling of Small Molecules M Di Stefano, S Galati, L Piazza, C Granchi, S Mancini, F Fratini, ... Journal of Chemical Information and Modeling 64 (7), 2275-2289, 2023 | 6 | 2023 |
| Novel Potent and Selective Agonists of the GPR55 Receptor Based on the 3-Benzylquinolin-2(1H)-One Scaffold C Ceni, MJ Benko, KA Mohamed, G Poli, M Di Stefano, T Tuccinardi, ... Pharmaceuticals 15 (7), 768, 2022 | 5 | 2022 |
| Design, synthesis, ADME and biological evaluation of benzylpiperidine and benzylpiperazine derivatives as novel reversible monoacylglycerol lipase (MAGL) inhibitors M Di Stefano, S Masoni, G Bononi, G Poli, S Galati, F Gado, S Manzi, ... European journal of medicinal chemistry 263, 115916, 2024 | 3 | 2024 |
| Identification of New GSK3β Inhibitors through a Consensus Machine Learning-Based Virtual Screening S Galati, M Di Stefano, S Bertini, C Granchi, A Giordano, F Gado, ... International Journal of Molecular Sciences 24 (24), 17233, 2023 | 1 | 2023 |
| Watermelon: setup and validation of an in silico fragment-based approach M Di Stefano, S Galati, L Piazza, F Gado, C Granchi, M Macchia, ... Journal of Enzyme Inhibition and Medicinal Chemistry 39 (1), 2356179, 2024 | | 2024 |
| BIG DATA ANALYSIS AND ARTIFICIAL INTELLIGENCE IN HIT IDENTIFICATION AND TARGET FISHING FOR NEURODEGENERATIVE DISEASES M Di Stefano Università degli Studi di Siena, 2024 | | 2024 |
| Sviluppo di un approccio innovativo per lo screening virtuale di inibitori della MAGL e sintesi di inibitori a potenziale attivita duale MAGL/FAAH M DI STEFANO | | 2020 |
| Supporting Information Discovery of monoacylglycerol lipase (MAGL) inhibitors based on a pharmacophore-guided virtual screening study V Jha, M Biagi, V Spinelli, M Di Stefano, M Macchia, F Minutolo, ... | | |
