BONGINI, PIETRO
BONGINI, PIETRO
Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche
A deep attention network for predicting amino acid signals in the formation of α-helices
2020-01-01 Visibelli, A.; Bongini, P.; Rossi, A.; Niccolai, N.; Bianchini, M.
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs
2023-01-01 Bongini, Pietro; Messori, Elisa; Pancino, Niccolo; Bianchini, Monica
A Neural Network Approach for the Analysis of Reproducible Ribo–Seq Profiles
2022-01-01 Giacomini, Giorgia; Graziani, Caterina; Lachi, Veronica; Bongini, Pietro; Pancino, Niccolò; Bianchini, Monica; Chiarugi, Davide; Valleriani, Angelo; Andreini, Paolo
A possible strategy to fight COVID-19: Interfering with spike glycoprotein trimerization
2020-01-01 Bongini, Pietro; Trezza, Alfonso; Bianchini, Monica; Spiga, Ottavia; Niccolai, Neri
BioGNN: How Graph Neural Networks Can Solve Biological Problems
2023-01-01 Bongini, P.; Pancino, N.; Scarselli, F.; Bianchini, M.
CaregiverMatcher: Graph neural networks for connecting caregivers of rare disease patients
2021-01-01 Guerranti, F.; Mannino, M.; Baccini, F.; Bongini, P.; Pancino, N.; Visibelli, A.; Marziali, S.
Deep learning techniques for dragonfly action recognition
2020-01-01 Monaci, M.; Pancino, N.; Andreini, P.; Bonechi, S.; Bongini, P.; Rossi, A.; Ciano, G.; Giacomini, G.; Scarselli, F.; Bianchini, M.
Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain
2022-01-01 Pancino, Niccolo; Perron, Yohann; Bongini, Pietro; Scarselli, Franco
Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning
2019-01-01 Bonechi, Simone; Bianchini, Monica; Bongini, Pietro; Ciano, Giorgio; Giacomini, Giorgia; Rosai, Riccardo; Tognetti, Linda; Rossi, Alberto; Andreini, Paolo
Glycine induced formation and druggability score prediction of protein surface pockets
2019-01-01 Bongini, Pietro; Niccolai, Neri; Bianchini, Monica
GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing
2022-01-01 Pancino, Niccolo'; Bongini, Pietro; Scarselli, Franco; Bianchini, Monica
Graph Neural Networks for the Prediction of Protein–Protein Interfaces
2020-01-01 Pancino, Niccolò; Rossi, Alberto; Ciano, Giorgio; Giacomini, Giorgia; Bonechi, Simone; Andreini, Paolo; Scarselli, Franco; Bianchini, Monica; Bongini, Pietro
Modular multi-source prediction of drug side-effects with DruGNN
2022-01-01 Bongini, Pietro; Scarselli, Franco; Bianchini, Monica; Dimitri, Giovanna Maria; Pancino, Niccoló; Lio, Pietro
Molecular generative Graph Neural Networks for Drug Discovery
2021-01-01 Bongini, Pietro; Bianchini, Monica; Scarselli, Franco
Omicron variants of SARS CoV-2 indicate a new antiviral strategy: Interfere with spike glycoprotein trimerization
2023-01-01 Niccolai, Neri; Trezza, Alfonso; Marchini, Federico; Bongini, Pietro; Bianchini, Monica; Santucci, Annalisa; Spiga, Ottavia; Visibelli, Anna
Point-Wise Ribosome Translation Speed Prediction with Recurrent Neural Networks
2024-01-01 Bongini, Pietro; Pancino, Niccolò; Lachi, Veronica; Graziani, Caterina; Giacomini, Giorgia; Andreini, Paolo; Bianchini, Monica
Structural bioinformatic survey of protein-small molecule interfaces delineates the role of glycine in surface pocket formation
2022-01-01 Bongini, Pietro; Niccolai, Neri; Trezza, Alfonso; Mangiavacchi, Guido; Santucci, Annalisa; Spiga, Ottavia; Bianchini, Monica; Gardini, Simone
Structural bioinformatics survey on disease-inducing missense mutations
2021-01-01 Bongini, Pietro; Gardini, Simone; Bianchini, Monica; Spiga, Ottavia; Niccolai, Neri
Structural Bioinformatics to unveil weaknesses of coronavirus spike glycoprotein stability
2021-01-01 Bongini, Pietro; Trezza, Alfonso; Bianchini, Monica; Spiga, Ottavia; Niccolai, Neri
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview
2022-01-01 Oneto, Luca; Navarin, Nicoló; Biggio, Battista; Errica, Federico; Micheli, Alessio; Scarselli, Franco; Bianchini, Monica; Demetrio, Luca; Bongini, Pietro; Tacchella, Armando; Sperduti, Alessandro
| Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
|---|---|---|---|---|
| A deep attention network for predicting amino acid signals in the formation of α-helices | 1-gen-2020 | Visibelli, A.; Bongini, P.; Rossi, A.; Niccolai, N.; Bianchini, M. | - | |
| A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs | 1-gen-2023 | Bongini, Pietro; Messori, Elisa; Pancino, Niccolo; Bianchini, Monica | - | |
| A Neural Network Approach for the Analysis of Reproducible Ribo–Seq Profiles | 1-gen-2022 | Giacomini, Giorgia; Graziani, Caterina; Lachi, Veronica; Bongini, Pietro; Pancino, Niccolò; Bianchini, Monica; Chiarugi, Davide; Valleriani, Angelo; Andreini, Paolo | - | |
| A possible strategy to fight COVID-19: Interfering with spike glycoprotein trimerization | 1-gen-2020 | Bongini, Pietro; Trezza, Alfonso; Bianchini, Monica; Spiga, Ottavia; Niccolai, Neri | - | |
| BioGNN: How Graph Neural Networks Can Solve Biological Problems | 1-gen-2023 | Bongini, P.; Pancino, N.; Scarselli, F.; Bianchini, M. | - | |
| CaregiverMatcher: Graph neural networks for connecting caregivers of rare disease patients | 1-gen-2021 | Guerranti, F.; Mannino, M.; Baccini, F.; Bongini, P.; Pancino, N.; Visibelli, A.; Marziali, S. | - | |
| Deep learning techniques for dragonfly action recognition | 1-gen-2020 | Monaci, M.; Pancino, N.; Andreini, P.; Bonechi, S.; Bongini, P.; Rossi, A.; Ciano, G.; Giacomini, G.; Scarselli, F.; Bianchini, M. | - | |
| Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain | 1-gen-2022 | Pancino, Niccolo; Perron, Yohann; Bongini, Pietro; Scarselli, Franco | - | |
| Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning | 1-gen-2019 | Bonechi, Simone; Bianchini, Monica; Bongini, Pietro; Ciano, Giorgio; Giacomini, Giorgia; Rosai, Riccardo; Tognetti, Linda; Rossi, Alberto; Andreini, Paolo | - | |
| Glycine induced formation and druggability score prediction of protein surface pockets | 1-gen-2019 | Bongini, Pietro; Niccolai, Neri; Bianchini, Monica | - | |
| GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing | 1-gen-2022 | Pancino, Niccolo'; Bongini, Pietro; Scarselli, Franco; Bianchini, Monica | - | |
| Graph Neural Networks for the Prediction of Protein–Protein Interfaces | 1-gen-2020 | Pancino, Niccolò; Rossi, Alberto; Ciano, Giorgio; Giacomini, Giorgia; Bonechi, Simone; Andreini, Paolo; Scarselli, Franco; Bianchini, Monica; Bongini, Pietro | - | |
| Modular multi-source prediction of drug side-effects with DruGNN | 1-gen-2022 | Bongini, Pietro; Scarselli, Franco; Bianchini, Monica; Dimitri, Giovanna Maria; Pancino, Niccoló; Lio, Pietro | - | |
| Molecular generative Graph Neural Networks for Drug Discovery | 1-gen-2021 | Bongini, Pietro; Bianchini, Monica; Scarselli, Franco | - | |
| Omicron variants of SARS CoV-2 indicate a new antiviral strategy: Interfere with spike glycoprotein trimerization | 1-gen-2023 | Niccolai, Neri; Trezza, Alfonso; Marchini, Federico; Bongini, Pietro; Bianchini, Monica; Santucci, Annalisa; Spiga, Ottavia; Visibelli, Anna | - | |
| Point-Wise Ribosome Translation Speed Prediction with Recurrent Neural Networks | 1-gen-2024 | Bongini, Pietro; Pancino, Niccolò; Lachi, Veronica; Graziani, Caterina; Giacomini, Giorgia; Andreini, Paolo; Bianchini, Monica | - | |
| Structural bioinformatic survey of protein-small molecule interfaces delineates the role of glycine in surface pocket formation | 1-gen-2022 | Bongini, Pietro; Niccolai, Neri; Trezza, Alfonso; Mangiavacchi, Guido; Santucci, Annalisa; Spiga, Ottavia; Bianchini, Monica; Gardini, Simone | - | |
| Structural bioinformatics survey on disease-inducing missense mutations | 1-gen-2021 | Bongini, Pietro; Gardini, Simone; Bianchini, Monica; Spiga, Ottavia; Niccolai, Neri | - | |
| Structural Bioinformatics to unveil weaknesses of coronavirus spike glycoprotein stability | 1-gen-2021 | Bongini, Pietro; Trezza, Alfonso; Bianchini, Monica; Spiga, Ottavia; Niccolai, Neri | - | |
| Towards learning trustworthily, automatically, and with guarantees on graphs: An overview | 1-gen-2022 | Oneto, Luca; Navarin, Nicoló; Biggio, Battista; Errica, Federico; Micheli, Alessio; Scarselli, Franco; Bianchini, Monica; Demetrio, Luca; Bongini, Pietro; Tacchella, Armando; Sperduti, Alessandro | - |