PEDRETTI, ALESSANDRO
PEDRETTI, ALESSANDRO
Dipartimento di Scienze Farmaceutiche
Identification of ICAM-1–targeting DNA aptamers as a host-directed strategy to inhibit Human Rhinovirus infection
2026 J. Dellavedova, C. Campera, S. Ancona, M. Rebecchi, V. Panzeri, T. Carzaniga, L. Casiraghi, S. Rocca, S. Di Ciolo, A. Pedretti, C. Tirelli, M. Buscaglia, T. Bellini, A. Romanelli, A. Villa, E. Brunialti, E. Borghi, P. Ciana
PANTHER Score: Protein-Affinity for Nucleic Target-binding, Hybridization, and Energy Regression
2026 P. Aletayeb, A.D. Biswas, S. Rocca, C. Talarico, G. Vistoli, A. Pedretti
PepScorer::RMSD: an improved machine learning scoring function for protein–peptide docking
2026 A.G. Cavalli, G. Vistoli, A. Pedretti, L. Fumagalli, A. Mazzolari
Sequence optimization of a DNA aptamer inhibiting COVID-19 infection guided by analysis of secondary structure distribution
2026 M.I. Muniz, T. Carzaniga, G. Nava, L. Casiraghi, D. Giana, S. Rocca, A. Pedretti, J. Dellavedova, P. Ciana, T. Bellini, M. Buscaglia
GENEOnet: statistical analysis supporting explainability and trustworthiness
2025 G. Bocchi, P. Frosini, A. Micheletti, A. Pedretti, C. Gratteri, F. Lunghini, A.R. Beccari, C. Talarico
MetaQM: Exploring the Role of QM Calculations in Drug Metabolism Prediction
2025 A. Macorano, S. Vittorio, A. Mazzolari, A. Pedretti, G. Vistoli
Virtual Reality for Teaching the Structure of Substances – a Teaching Aid or Headache?
2025 P. Šmejkal, L. Míka, C. Pirola, A. Pedretti, C. Jolivalt, N. Koupilová
GENEOnet: a breakthrough in protein binding pocket detection using group equivariant non-expansive operators
2025 G. Bocchi, P. Frosini, A. Micheletti, A. Pedretti, G. Palermo, D. Gadioli, C. Gratteri, F. Lunghini, A.D. Biswas, P.F.W. Stouten, A.R. Beccari, A. Fava, C. Talarico
Novel Method for Prioritizing Protein Binding Sites Using Pocket Analysis and MD Simulations
2025 A.D. Biswas, E. Sabato, S. Vittorio, P. Aletayeb, A. Pedretti, A. Mazzolari, C. Gratteri, A.R. Beccari, C. Talarico, G. Vistoli
Approaching Pharmacological Space: Events and Components
2025 G. Vistoli, C. Talarico, S. Vittorio, F. Lunghini, A. Mazzolari, A. Beccari, A. Pedretti
Prediction of UGT-mediated phase II metabolism via ligand- and structure-based predictive models
2025 L. Bono, F. Lunghini, E. Sabato, A.D. Biswas, A. Mazzolari, A. Pedretti, A.R. Beccari, G. Vistoli, S. Vittorio
An improved dataset of force fields, electronic and physicochemical descriptors of metabolic substrates
2024 A. Macorano, A. Mazzolari, G. Malloci, A. Pedretti, G. Vistoli, S. Gervasoni
MUSA: A platform for data-intensive services in Edge-Cloud Continuum
2024 M. Anisetti, C.A. Ardagna, F. Berto, R. Bondaruc, E. Damiani, A. Pedretti, A. Pisati, M. Banzi, A. Retico
A geometric XAI approach to protein pocket detection
2024 G. Bocchi, P. Frosini, A. Micheletti, A. Pedretti, G. Palermo, D. Gadioli, C. Gratteri, F. Lunghini, A.R. Beccari, A. Fava, C. Talarico
Addressing docking pose selection with structure-based deep learning: Recent advances, challenges and opportunities
2024 S. Vittorio, F. Lunghini, P. Morerio, D. Gadioli, S. Orlandini, P. Silva, N. Jan Martinovic, A. Pedretti, D. Bonanni, A. Del Bue, G. Palermo, G. Vistoli, A.R. Beccari
Target Prediction by Multiple Virtual Screenings: Analyzing the SARS-CoV-2 Phenotypic Screening by the Docking Simulations Submitted to the MEDIATE Initiative
2024 S. Gervasoni, C. Manelfi, S. Adobati, C. Talarico, A.D. Biswas, A. Pedretti, G. Vistoli, A.R. Beccari
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation
2024 Y. Chen, T. Seidel, R.A. Jacob, S. Hirte, A. Mazzolari, A. Pedretti, G. Vistoli, T. Langer, F. Miljkovic, J. Kirchmair
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
2024 C. Manelfi, V. Tazzari, F. Lunghini, C. Cerchia, A. Fava, A. Pedretti, P.F.W. Stouten, G. Vistoli, A.R. Beccari
A new paradigm for Artificial Intelligence based on Group Equivariant Non-Expansive Operators (GENEOs) applied to protein pocket detection
2023 G. Bocchi, A. Micheletti, P. Frosini, A. Pedretti, C. Gratteri, F. Lunghini, A.R. Beccari, C. Talarico
Explainable Machine Learning based on Group Equivariant Non-Expansive Operators (GENEOs). Protein pocket detection: a case study
2023 G. Bocchi, A. Micheletti, P. Frosini, A. Pedretti, A.R. Beccari, F. Lunghini, C. Talarico, C. Gratteri