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Vincenzo Laveglia

Showing results (1-10 of 8) with videos related to

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Entropy (Basel, Switzerland)|May 27, 2023
Downward-Growing Neural NetworksVincenzo Laveglia, Edmondo Trentin
Bioinformatics (Oxford, England)|October 25, 2023
Hunting down zinc(II)-binding sites in proteins with distance matricesVincenzo Laveglia, Milana Bazayeva, Claudia Andreini, et al.
Journal of Chemical Information and Modeling|July 2, 2025
Correction to "Benchmarking Zinc-Binding Site Predictors: A Comparative Analysis of Structure-Based Approaches"Cosimo Ciofalo, Vincenzo Laveglia, Claudia Andreini, et al.
Journal of Inorganic Biochemistry|October 21, 2022
Metal-induced structural variability of mononuclear metal-binding sites from a database perspectiveMilana Bazayeva, Vincenzo Laveglia, Claudia Andreini, et al.
Journal of Chemical Information and Modeling|May 15, 2025
Benchmarking Zinc-Binding Site Predictors: A Comparative Analysis of Structure-Based ApproachesCosimo Ciofalo, Vincenzo Laveglia, Claudia Andreini, et al.
Journal of Chemical Information and Modeling|June 9, 2022
Learning to Identify Physiological and Adventitious Metal-Binding Sites in the Three-Dimensional Structures of Proteins by Following the Hints of a Deep Neural NetworkVincenzo Laveglia, Andrea Giachetti, Davide Sala, et al.
Briefings in Bioinformatics|March 2, 2026
Master of Metals2: a graph neural network based architecture for the prediction of zinc binding sites in protein structuresVincenzo Laveglia, Cosimo Ciofalo, Enrico Morelli, et al.
Journal of Chemical Information and Modeling|November 29, 2021
Automated Determination of Nuclear Magnetic Resonance Chemical Shift Perturbations in Ligand Screening Experiments: The PICASSO Web ServerVincenzo Laveglia, Andrea Giachetti, Linda Cerofolini, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Entropy (Basel, Switzerland)|May 27, 2023
Downward-Growing Neural NetworksVincenzo Laveglia, Edmondo Trentin
Bioinformatics (Oxford, England)|October 25, 2023
Hunting down zinc(II)-binding sites in proteins with distance matricesVincenzo Laveglia, Milana Bazayeva, Claudia Andreini, et al.
Journal of Chemical Information and Modeling|July 2, 2025
Correction to "Benchmarking Zinc-Binding Site Predictors: A Comparative Analysis of Structure-Based Approaches"Cosimo Ciofalo, Vincenzo Laveglia, Claudia Andreini, et al.
Journal of Inorganic Biochemistry|October 21, 2022
Metal-induced structural variability of mononuclear metal-binding sites from a database perspectiveMilana Bazayeva, Vincenzo Laveglia, Claudia Andreini, et al.
Journal of Chemical Information and Modeling|May 15, 2025
Benchmarking Zinc-Binding Site Predictors: A Comparative Analysis of Structure-Based ApproachesCosimo Ciofalo, Vincenzo Laveglia, Claudia Andreini, et al.
Journal of Chemical Information and Modeling|June 9, 2022
Learning to Identify Physiological and Adventitious Metal-Binding Sites in the Three-Dimensional Structures of Proteins by Following the Hints of a Deep Neural NetworkVincenzo Laveglia, Andrea Giachetti, Davide Sala, et al.
Briefings in Bioinformatics|March 2, 2026
Master of Metals2: a graph neural network based architecture for the prediction of zinc binding sites in protein structuresVincenzo Laveglia, Cosimo Ciofalo, Enrico Morelli, et al.
Journal of Chemical Information and Modeling|November 29, 2021
Automated Determination of Nuclear Magnetic Resonance Chemical Shift Perturbations in Ligand Screening Experiments: The PICASSO Web ServerVincenzo Laveglia, Andrea Giachetti, Linda Cerofolini, et al.
Pageof 1