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Emanuele Criscuolo

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Methods in Molecular Biology (Clifton, N.J.)|September 24, 2022
Radiometric Assay of ABHD2 ActivityDomenico Fazio, Emanuele Criscuolo, Mauro Maccarrone
Journal of Chemical Information and Modeling|July 9, 2025
Generative Deep Learning for de Novo Drug Design─A Chemical Space OdysseyRıza Özçelik, Helena Brinkmann, Emanuele Criscuolo, et al.
Nature Communications|July 22, 2024
Chemical language modeling with structured state space sequence modelsRıza Özçelik, Sarah de Ruiter, Emanuele Criscuolo, et al.
Molecules (Basel, Switzerland)|December 30, 2020
In Silico and In Vitro Analysis of Major Cannabis-Derived Compounds as Fatty Acid Amide Hydrolase InhibitorsEmanuele Criscuolo, Maria Laura De Sciscio, Filomena Fezza, et al.
Molecules (Basel, Switzerland)|June 12, 2026
Lipid Composition Drives Mutant Huntingtin Dimerization and Membrane Association: Insights from Computational SimulationsCatalin Nicoara, Emanuele Criscuolo, Angela De Cristofaro, et al.
Expert Opinion on Drug Discovery|April 16, 2020
Advances in the discovery of fatty acid amide hydrolase inhibitors: what does the future hold?Domenico Fazio, Emanuele Criscuolo, Alessandra Piccoli, et al.
Current Opinion in Structural Biology|April 26, 2024
Deep learning for low-data drug discovery: Hurdles and opportunitiesDerek van Tilborg, Helena Brinkmann, Emanuele Criscuolo, et al.
Briefings in Bioinformatics|January 9, 2025
Integrating genetic algorithms and language models for enhanced enzyme designYves Gaetan Nana Teukam, Federico Zipoli, Teodoro Laino, et al.
Digital Discovery|August 21, 2025
Identifying 14-3-3 interactome binding sites with deep learningLaura van Weesep, Rıza Özçelik, Marloes Pennings, et al.
Pharmaceuticals (Basel, Switzerland)|December 23, 2023
Computational and Experimental Drug Repurposing of FDA-Approved Compounds Targeting the Cannabinoid Receptor CB1Emanuele Criscuolo, Maria Laura De Sciscio, Angela De Cristofaro, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|September 24, 2022
Radiometric Assay of ABHD2 ActivityDomenico Fazio, Emanuele Criscuolo, Mauro Maccarrone
Journal of Chemical Information and Modeling|July 9, 2025
Generative Deep Learning for de Novo Drug Design─A Chemical Space OdysseyRıza Özçelik, Helena Brinkmann, Emanuele Criscuolo, et al.
Nature Communications|July 22, 2024
Chemical language modeling with structured state space sequence modelsRıza Özçelik, Sarah de Ruiter, Emanuele Criscuolo, et al.
Molecules (Basel, Switzerland)|December 30, 2020
In Silico and In Vitro Analysis of Major Cannabis-Derived Compounds as Fatty Acid Amide Hydrolase InhibitorsEmanuele Criscuolo, Maria Laura De Sciscio, Filomena Fezza, et al.
Molecules (Basel, Switzerland)|June 12, 2026
Lipid Composition Drives Mutant Huntingtin Dimerization and Membrane Association: Insights from Computational SimulationsCatalin Nicoara, Emanuele Criscuolo, Angela De Cristofaro, et al.
Expert Opinion on Drug Discovery|April 16, 2020
Advances in the discovery of fatty acid amide hydrolase inhibitors: what does the future hold?Domenico Fazio, Emanuele Criscuolo, Alessandra Piccoli, et al.
Current Opinion in Structural Biology|April 26, 2024
Deep learning for low-data drug discovery: Hurdles and opportunitiesDerek van Tilborg, Helena Brinkmann, Emanuele Criscuolo, et al.
Briefings in Bioinformatics|January 9, 2025
Integrating genetic algorithms and language models for enhanced enzyme designYves Gaetan Nana Teukam, Federico Zipoli, Teodoro Laino, et al.
Digital Discovery|August 21, 2025
Identifying 14-3-3 interactome binding sites with deep learningLaura van Weesep, Rıza Özçelik, Marloes Pennings, et al.
Pharmaceuticals (Basel, Switzerland)|December 23, 2023
Computational and Experimental Drug Repurposing of FDA-Approved Compounds Targeting the Cannabinoid Receptor CB1Emanuele Criscuolo, Maria Laura De Sciscio, Angela De Cristofaro, et al.
Pageof 2