Sfoglia per Autore
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
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
Machine learning in Bioinformatics: Novel approaches to Precision Medicine, Life Sciences and Healthcare
2022-01-01 Visibelli, Anna
Computational Approaches Integrated in a Digital Ecosystem Platform for a Rare Disease
2022-01-01 Visibelli, Anna; Cicaloni, Vittoria; Spiga, Ottavia; 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
Multi-omics model applied to cancer genetics
2021-01-01 Pettini, F.; Visibelli, A.; Cicaloni, V.; Iovinelli, D.; 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.
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.
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.
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.
Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
---|---|---|---|---|
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 | - | |
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 | - | |
Machine learning in Bioinformatics: Novel approaches to Precision Medicine, Life Sciences and Healthcare | 1-gen-2022 | Visibelli, Anna | - | |
Computational Approaches Integrated in a Digital Ecosystem Platform for a Rare Disease | 1-gen-2022 | Visibelli, Anna; Cicaloni, Vittoria; Spiga, Ottavia; 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 | - | |
Multi-omics model applied to cancer genetics | 1-gen-2021 | Pettini, F.; Visibelli, A.; Cicaloni, V.; Iovinelli, D.; 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. | - | |
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. | - | |
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. | - | |
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. | - |
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