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Ottavia Spiga

Showing results (21-30 of 116) with videos related to

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Computational Biology and Chemistry|August 22, 2020
Transient pockets as mediators of gas molecules routes inside proteins: The case study of dioxygen pathway in homogentisate 1,2-dioxygenase and its implication in Alkaptonuria developmentAndrea Bernini, Silvia Galderisi, Ottavia Spiga, et al.
European Journal of Pharmacology|January 30, 2022
Functional, electrophysiology, and molecular dynamics analysis of quercetin-induced contraction of rat vascular musculatureAlfonso Trezza, Ottavia Spiga, Paolo Mugnai, et al.
Frontiers in Artificial Intelligence|March 7, 2025
Predicting therapy dropout in chronic pain management: a machine learning approach to cannabis treatmentAnna Visibelli, Rebecca Finetti, Bianca Roncaglia, et al.
Acta Pharmacologica Sinica|March 6, 2020
Ritanserin blocks Ca<sub>V</sub>1.2 channels in rat artery smooth muscles: electrophysiological, functional, and computational studiesFabio Fusi, Alfonso Trezza, Giampietro Sgaragli, et al.
Journal of Chemical Information and Modeling|April 11, 2025
Machine Learning for Predicting the Drug-to-Antibody Ratio (DAR) in the Synthesis of Antibody-Drug Conjugates (ADCs)Lorenzo Angiolini, Fabrizio Manetti, Ottavia Spiga, et al.
Biochemical and Biophysical Research Communications|March 6, 2007
MD and NMR studies of alpha-bungarotoxin surface accessibilityVincenzo Venditti, Andrea Bernini, Alfonso De Simone, et al.
International Journal of Molecular Sciences|May 14, 2025
Profiling of Protein-Coding Missense Mutations in Mendelian Rare Diseases: Clues from Structural BioinformaticsAnna Visibelli, Rebecca Finetti, Piero Niccolai, et al.
Computational Biology and Chemistry|September 5, 2017
Toward a generalized computational workflow for exploiting transient pockets as new targets for small molecule stabilizers: Application to the homogentisate 1,2-dioxygenase mutants at the base of rare disease AlkaptonuriaAndrea Bernini, Silvia Galderisi, Ottavia Spiga, et al.
Peerj|May 9, 2018
From in silico to in vitro: a trip to reveal flavonoid binding on the <i>Rattus norvegicus</i> Kir6.1 ATP-sensitive inward rectifier potassium channelAlfonso Trezza, Vittoria Cicaloni, Piera Porciatti, et al.
Biomedicines|July 29, 2023
Supporting Machine Learning Model in the Treatment of Chronic PainAnna Visibelli, Luana Peruzzi, Paolo Poli, et al.
Pageof 12

Showing results (21-30 of 116) with videos related to

Sort By:
Pageof 12
Computational Biology and Chemistry|August 22, 2020
Transient pockets as mediators of gas molecules routes inside proteins: The case study of dioxygen pathway in homogentisate 1,2-dioxygenase and its implication in Alkaptonuria developmentAndrea Bernini, Silvia Galderisi, Ottavia Spiga, et al.
European Journal of Pharmacology|January 30, 2022
Functional, electrophysiology, and molecular dynamics analysis of quercetin-induced contraction of rat vascular musculatureAlfonso Trezza, Ottavia Spiga, Paolo Mugnai, et al.
Frontiers in Artificial Intelligence|March 7, 2025
Predicting therapy dropout in chronic pain management: a machine learning approach to cannabis treatmentAnna Visibelli, Rebecca Finetti, Bianca Roncaglia, et al.
Acta Pharmacologica Sinica|March 6, 2020
Ritanserin blocks Ca<sub>V</sub>1.2 channels in rat artery smooth muscles: electrophysiological, functional, and computational studiesFabio Fusi, Alfonso Trezza, Giampietro Sgaragli, et al.
Journal of Chemical Information and Modeling|April 11, 2025
Machine Learning for Predicting the Drug-to-Antibody Ratio (DAR) in the Synthesis of Antibody-Drug Conjugates (ADCs)Lorenzo Angiolini, Fabrizio Manetti, Ottavia Spiga, et al.
Biochemical and Biophysical Research Communications|March 6, 2007
MD and NMR studies of alpha-bungarotoxin surface accessibilityVincenzo Venditti, Andrea Bernini, Alfonso De Simone, et al.
International Journal of Molecular Sciences|May 14, 2025
Profiling of Protein-Coding Missense Mutations in Mendelian Rare Diseases: Clues from Structural BioinformaticsAnna Visibelli, Rebecca Finetti, Piero Niccolai, et al.
Computational Biology and Chemistry|September 5, 2017
Toward a generalized computational workflow for exploiting transient pockets as new targets for small molecule stabilizers: Application to the homogentisate 1,2-dioxygenase mutants at the base of rare disease AlkaptonuriaAndrea Bernini, Silvia Galderisi, Ottavia Spiga, et al.
Peerj|May 9, 2018
From in silico to in vitro: a trip to reveal flavonoid binding on the <i>Rattus norvegicus</i> Kir6.1 ATP-sensitive inward rectifier potassium channelAlfonso Trezza, Vittoria Cicaloni, Piera Porciatti, et al.
Biomedicines|July 29, 2023
Supporting Machine Learning Model in the Treatment of Chronic PainAnna Visibelli, Luana Peruzzi, Paolo Poli, et al.
Pageof 12