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Filippo Lunghini

Showing results (1-10 of 18) with videos related to

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Frontiers in Pharmacology|April 10, 2023
Ensemble of structure and ligand-based classification models for hERG liability profilingSerena Vittorio, Filippo Lunghini, Alessandro Pedretti, et al.
Journal of Chemical Information and Modeling|December 8, 2025
ProfhEX: Empowering Early Drug Discovery with Machine Learning-Based Target Profiling and Liability PredictionFilippo Lunghini, Carmen Cerchia, Anna Fava, et al.
Journal of Cheminformatics|June 9, 2023
ProfhEX: AI-based platform for small molecules liability profilingFilippo Lunghini, Anna Fava, Vincenzo Pisapia, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 23, 2024
Approaching Pharmacological Space: Events and ComponentsGiulio Vistoli, Carmine Talarico, Serena Vittorio, et al.
Molecular Informatics|November 24, 2020
Visualization and Analysis of the REACH-chemical Space with Generative Topographic MappingFilippo Lunghini, Marcou Gilles, Philippe Azam, et al.
International Journal of Molecular Sciences|July 14, 2023
MetaSpot: A General Approach for Recognizing the Reactive Atoms Undergoing Metabolic Reactions Based on the MetaQSAR DatabaseAngelica Mazzolari, Pietro Perazzoni, Emanuela Sabato, et al.
Journal of Cheminformatics|July 24, 2021
"Molecular Anatomy": a new multi-dimensional hierarchical scaffold analysis toolCandida Manelfi, Marica Gemei, Carmine Talarico, et al.
Annals of Work Exposures and Health|March 30, 2017
Accuracy Evaluation of Three Modelling Tools for Occupational Exposure AssessmentAndrea Spinazzè, Filippo Lunghini, Davide Campagnolo, et al.
Journal of Cheminformatics|October 15, 2025
Prediction of UGT-mediated phase II metabolism via ligand- and structure-based predictive modelsLudovica Bono, Filippo Lunghini, Emanuela Sabato, et al.
Journal of Cheminformatics|February 23, 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 databasesCandida Manelfi, Valerio Tazzari, Filippo Lunghini, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Frontiers in Pharmacology|April 10, 2023
Ensemble of structure and ligand-based classification models for hERG liability profilingSerena Vittorio, Filippo Lunghini, Alessandro Pedretti, et al.
Journal of Chemical Information and Modeling|December 8, 2025
ProfhEX: Empowering Early Drug Discovery with Machine Learning-Based Target Profiling and Liability PredictionFilippo Lunghini, Carmen Cerchia, Anna Fava, et al.
Journal of Cheminformatics|June 9, 2023
ProfhEX: AI-based platform for small molecules liability profilingFilippo Lunghini, Anna Fava, Vincenzo Pisapia, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 23, 2024
Approaching Pharmacological Space: Events and ComponentsGiulio Vistoli, Carmine Talarico, Serena Vittorio, et al.
Molecular Informatics|November 24, 2020
Visualization and Analysis of the REACH-chemical Space with Generative Topographic MappingFilippo Lunghini, Marcou Gilles, Philippe Azam, et al.
International Journal of Molecular Sciences|July 14, 2023
MetaSpot: A General Approach for Recognizing the Reactive Atoms Undergoing Metabolic Reactions Based on the MetaQSAR DatabaseAngelica Mazzolari, Pietro Perazzoni, Emanuela Sabato, et al.
Journal of Cheminformatics|July 24, 2021
"Molecular Anatomy": a new multi-dimensional hierarchical scaffold analysis toolCandida Manelfi, Marica Gemei, Carmine Talarico, et al.
Annals of Work Exposures and Health|March 30, 2017
Accuracy Evaluation of Three Modelling Tools for Occupational Exposure AssessmentAndrea Spinazzè, Filippo Lunghini, Davide Campagnolo, et al.
Journal of Cheminformatics|October 15, 2025
Prediction of UGT-mediated phase II metabolism via ligand- and structure-based predictive modelsLudovica Bono, Filippo Lunghini, Emanuela Sabato, et al.
Journal of Cheminformatics|February 23, 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 databasesCandida Manelfi, Valerio Tazzari, Filippo Lunghini, et al.
Pageof 2