VISIBELLI, ANNA
VISIBELLI, ANNA
Dipartimento di Biotecnologie, Chimica e Farmacia
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.
Alkaptonuria: From Molecular Insights to a Dedicated Digital Platform
2024-01-01 Milella, Maria Serena; Geminiani, Michela; Trezza, Alfonso; Visibelli, Anna; Braconi, Daniela; Santucci, Annalisa
An in vitro cell model for exploring inflammatory and amyloidogenic events in alkaptonuria
2024-01-01 Mastroeni, Pierfrancesco; Geminiani, Michela; Olmastroni, Tommaso; Frusciante, Luisa; Trezza, Alfonso; Visibelli, Anna; Santucci, Annalisa
Artificial intelligence approaches in drug discovery: towards the laboratory of the future
2022-01-01 Frusciante, Luisa; Visibelli, Anna; Geminiani, Michela; Santucci, Annalisa; Spiga, Ottavia
Bioinformatics approaches to predict mutation effects in the binding site of the proangiogenic molecule {CD}93
2022-01-01 Cicaloni, Vittoria; Karmakar, Malancha; Frusciante, Luisa; Pettini, Francesco; Visibelli, Anna; Orlandini, Maurizio; Galvagni, Federico; Mongiat, Maurizio; Silk, Michael; Nardi, Federica; Ascher, David; Santucci, Annalisa; Spiga, Ottavia
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.
Computational approaches integrated in a digital ecosystem platform for a rare disease
2022-01-01 Visibelli, Anna; Cicaloni, Vittoria; Spiga, Ottavia; Santucci, Annalisa
HGA Triggers SAA Aggregation and Accelerates Fibril Formation in the C20/A4 Alkaptonuria Cell Model
2024-01-01 Mastroeni, Pierfrancesco; Trezza, Alfonso; Geminiani, Michela; Frusciante, Luisa; Visibelli, Anna; Santucci, Annalisa
Machine learning application for development of a data-driven predictive model able to investigate quality of life scores in a rare disease
2020-01-01 Spiga, O.; Cicaloni, V.; Fiorini, C.; Trezza, A.; Visibelli, A.; Millucci, L.; Bernardini, G.; Bernini, A.; Marzocchi, B.; Braconi, D.; Prischi, F.; Santucci, A.
Machine learning in Bioinformatics: Novel approaches to Precision Medicine, Life Sciences and Healthcare
2022-01-01 Visibelli, Anna
Molecular and Evolution In Silico Studies Unlock the h4-HPPD C-Terminal Tail Gating Mechanism
2024-01-01 Trezza, Alfonso; Birgauan, Ancuta; Geminiani, Michela; Visibelli, Anna; Santucci, Annalisa
Molecular Origins of the Mendelian Rare Diseases Reviewed by Orpha.net: A Structural Bioinformatics Investigation
2024-01-01 Visibelli, A.; Finetti, R.; Niccolai, N.; Spiga, O.; Santucci, A.
Multi-omics model applied to cancer genetics
2021-01-01 Pettini, F.; Visibelli, A.; Cicaloni, V.; Iovinelli, D.; Spiga, O.
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
The Impact of Artificial Intelligence in the Odyssey of Rare Diseases
2023-01-01 Visibelli, Anna; Roncaglia, Bianca; Spiga, Ottavia; Santucci, Annalisa
Three-Dimensional Quantitative Structure–Activity Relationship Study of Transient Receptor Potential Vanilloid 1 Channel Antagonists Reveals Potential for Drug Design Purposes
2024-01-01 Gianibbi, B.; Visibelli, A.; Spinsanti, G.; Spiga, O.
Towards a precision medicine approach based on machine learning for tailoring medical treatment in Alkaptonuria
2021-01-01 Spiga, O.; Cicaloni, V.; Visibelli, A.; Davoli, A.; Paparo, M. A.; Orlandini, M.; Vecchi, B.; Santucci, A.
Unsupervised Learning in Precision Medicine: Unlocking Personalized Healthcare through AI
2024-01-01 Trezza, A.; Visibelli, A.; Roncaglia, B.; Spiga, O.; Santucci, A.
| 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. | - | |
| Alkaptonuria: From Molecular Insights to a Dedicated Digital Platform | 1-gen-2024 | Milella, Maria Serena; Geminiani, Michela; Trezza, Alfonso; Visibelli, Anna; Braconi, Daniela; Santucci, Annalisa | - | |
| An in vitro cell model for exploring inflammatory and amyloidogenic events in alkaptonuria | 1-gen-2024 | Mastroeni, Pierfrancesco; Geminiani, Michela; Olmastroni, Tommaso; Frusciante, Luisa; Trezza, Alfonso; Visibelli, Anna; Santucci, Annalisa | - | |
| Artificial intelligence approaches in drug discovery: towards the laboratory of the future | 1-gen-2022 | Frusciante, Luisa; Visibelli, Anna; Geminiani, Michela; Santucci, Annalisa; Spiga, Ottavia | - | |
| Bioinformatics approaches to predict mutation effects in the binding site of the proangiogenic molecule {CD}93 | 1-gen-2022 | Cicaloni, Vittoria; Karmakar, Malancha; Frusciante, Luisa; Pettini, Francesco; Visibelli, Anna; Orlandini, Maurizio; Galvagni, Federico; Mongiat, Maurizio; Silk, Michael; Nardi, Federica; Ascher, David; Santucci, Annalisa; Spiga, Ottavia | - | |
| 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. | - | |
| Computational approaches integrated in a digital ecosystem platform for a rare disease | 1-gen-2022 | Visibelli, Anna; Cicaloni, Vittoria; Spiga, Ottavia; Santucci, Annalisa | - | |
| HGA Triggers SAA Aggregation and Accelerates Fibril Formation in the C20/A4 Alkaptonuria Cell Model | 1-gen-2024 | Mastroeni, Pierfrancesco; Trezza, Alfonso; Geminiani, Michela; Frusciante, Luisa; Visibelli, Anna; Santucci, Annalisa | - | |
| Machine learning application for development of a data-driven predictive model able to investigate quality of life scores in a rare disease | 1-gen-2020 | Spiga, O.; Cicaloni, V.; Fiorini, C.; Trezza, A.; Visibelli, A.; Millucci, L.; Bernardini, G.; Bernini, A.; Marzocchi, B.; Braconi, D.; Prischi, F.; Santucci, A. | - | |
| Machine learning in Bioinformatics: Novel approaches to Precision Medicine, Life Sciences and Healthcare | 1-gen-2022 | Visibelli, Anna | - | |
| Molecular and Evolution In Silico Studies Unlock the h4-HPPD C-Terminal Tail Gating Mechanism | 1-gen-2024 | Trezza, Alfonso; Birgauan, Ancuta; Geminiani, Michela; Visibelli, Anna; Santucci, Annalisa | - | |
| Molecular Origins of the Mendelian Rare Diseases Reviewed by Orpha.net: A Structural Bioinformatics Investigation | 1-gen-2024 | Visibelli, A.; Finetti, R.; Niccolai, N.; Spiga, O.; Santucci, A. | - | |
| Multi-omics model applied to cancer genetics | 1-gen-2021 | Pettini, F.; Visibelli, A.; Cicaloni, V.; Iovinelli, D.; Spiga, O. | - | |
| 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 | - | |
| The Impact of Artificial Intelligence in the Odyssey of Rare Diseases | 1-gen-2023 | Visibelli, Anna; Roncaglia, Bianca; Spiga, Ottavia; Santucci, Annalisa | - | |
| Three-Dimensional Quantitative Structure–Activity Relationship Study of Transient Receptor Potential Vanilloid 1 Channel Antagonists Reveals Potential for Drug Design Purposes | 1-gen-2024 | Gianibbi, B.; Visibelli, A.; Spinsanti, G.; Spiga, O. | - | |
| Towards a precision medicine approach based on machine learning for tailoring medical treatment in Alkaptonuria | 1-gen-2021 | Spiga, O.; Cicaloni, V.; Visibelli, A.; Davoli, A.; Paparo, M. A.; Orlandini, M.; Vecchi, B.; Santucci, A. | - | |
| Unsupervised Learning in Precision Medicine: Unlocking Personalized Healthcare through AI | 1-gen-2024 | Trezza, A.; Visibelli, A.; Roncaglia, B.; Spiga, O.; Santucci, A. | - |