Visibelli A - Search Results

1

Molecular and Evolution In Silico Studies Unlock the h4-HPPD C-Terminal Tail Gating Mechanism.

Trezza A, Birgauan A, Geminiani M, Visibelli A, Santucci A. Trezza A, et al. Among authors: visibelli a. Biomedicines. 2024 May 28;12(6):1196. doi: 10.3390/biomedicines12061196. Biomedicines. 2024. PMID: 38927403 Free PMC article.

2

Machine learning application for development of a data-driven predictive model able to investigate quality of life scores in a rare disease.

Spiga O, Cicaloni V, Fiorini C, Trezza A, Visibelli A, Millucci L, Bernardini G, Bernini A, Marzocchi B, Braconi D, Prischi F, Santucci A. Spiga O, et al. Among authors: visibelli a. Orphanet J Rare Dis. 2020 Feb 12;15(1):46. doi: 10.1186/s13023-020-1305-0. Orphanet J Rare Dis. 2020. PMID: 32050984 Free PMC article.

3

Towards a Precision Medicine Approach Based on Machine Learning for Tailoring Medical Treatment in Alkaptonuria.

Spiga O, Cicaloni V, Visibelli A, Davoli A, Paparo MA, Orlandini M, Vecchi B, Santucci A. Spiga O, et al. Among authors: visibelli a. Int J Mol Sci. 2021 Jan 26;22(3):1187. doi: 10.3390/ijms22031187. Int J Mol Sci. 2021. PMID: 33530326 Free PMC article.

4

Artificial Intelligence Approaches in Drug Discovery: Towards the Laboratory of the Future.

Frusciante L, Visibelli A, Geminiani M, Santucci A, Spiga O. Frusciante L, et al. Among authors: visibelli a. Curr Top Med Chem. 2022;22(26):2176-2189. doi: 10.2174/1568026622666221006140825. Curr Top Med Chem. 2022. PMID: 36201265 Review.

5

Bioinformatics Approaches to Predict Mutation Effects in the Binding Site of the Proangiogenic Molecule CD93.

Cicaloni V, Karmakar M, Frusciante L, Pettini F, Visibelli A, Orlandini M, Galvagni F, Mongiat M, Silk M, Nardi F, Ascher D, Santucci A, Spiga O. Cicaloni V, et al. Among authors: visibelli a. Front Bioinform. 2022 Jun 21;2:891553. doi: 10.3389/fbinf.2022.891553. eCollection 2022. Front Bioinform. 2022. PMID: 36353214 Free PMC article.

6

The Impact of Artificial Intelligence in the Odyssey of Rare Diseases.

Visibelli A, Roncaglia B, Spiga O, Santucci A. Visibelli A, et al. Biomedicines. 2023 Mar 13;11(3):887. doi: 10.3390/biomedicines11030887. Biomedicines. 2023. PMID: 36979866 Free PMC article. Review.

7

Supporting Machine Learning Model in the Treatment of Chronic Pain.

Visibelli A, Peruzzi L, Poli P, Scocca A, Carnevale S, Spiga O, Santucci A. Visibelli A, et al. Biomedicines. 2023 Jun 21;11(7):1776. doi: 10.3390/biomedicines11071776. Biomedicines. 2023. PMID: 37509416 Free PMC article.

8

Alkaptonuria: From Molecular Insights to a Dedicated Digital Platform.

Milella MS, Geminiani M, Trezza A, Visibelli A, Braconi D, Santucci A. Milella MS, et al. Among authors: visibelli a. Cells. 2024 Jun 20;13(12):1072. doi: 10.3390/cells13121072. Cells. 2024. PMID: 38920699 Free PMC article. Review.

9

Molecular Origins of the Mendelian Rare Diseases Reviewed by Orpha.net: A Structural Bioinformatics Investigation.

Visibelli A, Finetti R, Niccolai N, Spiga O, Santucci A. Visibelli A, et al. Int J Mol Sci. 2024 Jun 25;25(13):6953. doi: 10.3390/ijms25136953. Int J Mol Sci. 2024. PMID: 39000061 Free PMC article.

10

Computational Approaches Integrated in a Digital Ecosystem Platform for a Rare Disease.

Visibelli A, Cicaloni V, Spiga O, Santucci A. Visibelli A, et al. Front Mol Med. 2022 Feb 22;2:827340. doi: 10.3389/fmmed.2022.827340. eCollection 2022. Front Mol Med. 2022. PMID: 39086980 Free PMC article. Review.

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