Filippo Lunghini

According to our database, Filippo Lunghini authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Prediction of UGT-mediated phase II metabolism via ligand- and structure-based predictive models.

Ludovica Bono, Filippo Lunghini, Emanuela Sabato, Akash Deep Biswas, Angelica Mazzolari, Alessandro Pedretti, Andrea Rosario Beccari, Giulio Vistoli, Serena Vittorio

J. Cheminformatics, December, 2025

GENEOnet: Statistical analysis supporting explainability and trustworthiness.

Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti, Alessandro Pedretti, Carmen Gratteri, Filippo Lunghini, Andrea Rosario Beccari, Carmine Talarico

CoRR, March, 2025

ProfhEX: Empowering Early Drug Discovery with Machine Learning-Based Target Profiling and Liability Prediction.

Filippo Lunghini, Carmen Cerchia, Anna Fava, Vincenzo Pisapia, Francesco Sacco, Andrea Rosario Beccari

J. Chem. Inf. Model., 2025

2024

"DompeKeys": a set of novel substructure-based descriptors for efficient chemical space mapping, development and structural interpretation of machine learning models, and indexing of large databases.

Candida Manelfi, Valerio Tazzari, Filippo Lunghini, Carmen Cerchia, Anna Fava, Alessandro Pedretti, Pieter F. W. Stouten, Giulio Vistoli, Andrea Rosario Beccari

J. Cheminformatics, December, 2024

A geometric XAI approach to protein pocket detection.

Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti, Alessandro Pedretti, Gianluca Palermo, Davide Gadioli, Carmen Gratteri, Filippo Lunghini, Andrea Rosario Beccari, Anna Fava, Carmine Talarico

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

LIGATE - LIgand Generator and portable drug discovery platform AT Exascale.

Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Yuedong Zhang, Emanuele Vitali, Bruno Guindani, Danilo Ardagna, Cristina Silvano, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Akash Deep Biswas, Jan Martinovic, Martin Golasowski, Paulo Silva, Ada Böhm, Jakub Beránek, Jan Krenek, Branislav Jansik, Peter Thoman, Philip Salzmann, Thomas Fahringer, Torsten Schwede, Leila Tamara Alexander, Gerardo Tauriello, Janani Durairaj, Biagio Cosenza, Luigi Crisci, Andrew Emerson, Federico Ficarelli, Erik Lindahl, Sebastian Wingbermühle, Daniele Gregori, Silvano Coletti, Emanuele Sana, Philipp Gschwandtner

Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024

2023

ProfhEX: AI-based platform for small molecules liability profiling.

Filippo Lunghini, Anna Fava, Vincenzo Pisapia, Francesco Sacco, Daniela Iaconis, Andrea Rosario Beccari

J. Cheminformatics, December, 2023

Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach.

Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Emanuele Vitali, Cristina Silvano, Bruno Guindani, Danilo Ardagna, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Jan Martinovic, Paulo Silva, Ada Bohm, Jakub Beránek, Jan Krenek, Branislav Jansik, Biagio Cosenza, Luigi Crisci, Peter Thoman, Philip Salzmann, Thomas Fahringer, Leila T. Alexander, Gerardo Tauriello, Torsten Schwede, Janani Durairaj, Andrew Emerson, Federico Ficarelli, Sebastian Wingbermühle, Erik Lindahl, Daniele Gregori, Emanuele Sana, Silvano Coletti, Philipp Gschwandtner

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection.

Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti, Alessandro Pedretti, Carmen Gratteri, Filippo Lunghini, Andrea Rosario Beccari, Carmine Talarico

CoRR, 2022

2021

"Molecular Anatomy": a new multi-dimensional hierarchical scaffold analysis tool.

Candida Manelfi, Marica Gemei, Carmine Talarico, Carmen Cerchia, Anna Fava, Filippo Lunghini, Andrea Rosario Beccari

J. Cheminformatics, 2021