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Francesca Grisoni

Showing results (51-60 of 82) with videos related to

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Bioinformatics Advances|April 2, 2025
peptidy: a light-weight Python library for peptide representation in machine learningRıza Özçelik, Laura van Weesep, Sarah de Ruiter, et al.
Journal of Cheminformatics|August 28, 2023
Practical guidelines for the use of gradient boosting for molecular property predictionDavide Boldini, Francesca Grisoni, Daniel Kuhn, et al.
Angewandte Chemie (International Ed. in English)|May 13, 2025
Deep Supramolecular Language Processing for Co-Crystal PredictionRebecca Birolo, Rıza Özçelik, Andrea Aramini, et al.
Medchemcomm|October 6, 2018
Lipophilicity prediction of peptides and peptide derivatives by consensus machine learningJens-Alexander Fuchs, Francesca Grisoni, Michael Kossenjans, et al.
Nanoscale Advances|April 14, 2023
Identification of fluorescently-barcoded nanoparticles using machine learningAna Ortiz-Perez, Cristina Izquierdo-Lozano, Rens Meijers, et al.
Scientific Reports|May 13, 2022
Identification of novel off targets of baricitinib and tofacitinib by machine learning with a focus on thrombosis and viral infectionMaria L Faquetti, Francesca Grisoni, Petra Schneider, 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.
Journal of Cheminformatics|March 26, 2024
Effectiveness of molecular fingerprints for exploring the chemical space of natural productsDavide Boldini, Davide Ballabio, Viviana Consonni, 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.
Frontiers in Chemistry|August 10, 2017
A QSTR-Based Expert System to Predict Sweetness of MoleculesCristian Rojas, Roberto Todeschini, Davide Ballabio, et al.
Pageof 9

Showing results (51-60 of 82) with videos related to

Sort By:
Pageof 9
Bioinformatics Advances|April 2, 2025
peptidy: a light-weight Python library for peptide representation in machine learningRıza Özçelik, Laura van Weesep, Sarah de Ruiter, et al.
Journal of Cheminformatics|August 28, 2023
Practical guidelines for the use of gradient boosting for molecular property predictionDavide Boldini, Francesca Grisoni, Daniel Kuhn, et al.
Angewandte Chemie (International Ed. in English)|May 13, 2025
Deep Supramolecular Language Processing for Co-Crystal PredictionRebecca Birolo, Rıza Özçelik, Andrea Aramini, et al.
Medchemcomm|October 6, 2018
Lipophilicity prediction of peptides and peptide derivatives by consensus machine learningJens-Alexander Fuchs, Francesca Grisoni, Michael Kossenjans, et al.
Nanoscale Advances|April 14, 2023
Identification of fluorescently-barcoded nanoparticles using machine learningAna Ortiz-Perez, Cristina Izquierdo-Lozano, Rens Meijers, et al.
Scientific Reports|May 13, 2022
Identification of novel off targets of baricitinib and tofacitinib by machine learning with a focus on thrombosis and viral infectionMaria L Faquetti, Francesca Grisoni, Petra Schneider, 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.
Journal of Cheminformatics|March 26, 2024
Effectiveness of molecular fingerprints for exploring the chemical space of natural productsDavide Boldini, Davide Ballabio, Viviana Consonni, 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.
Frontiers in Chemistry|August 10, 2017
A QSTR-Based Expert System to Predict Sweetness of MoleculesCristian Rojas, Roberto Todeschini, Davide Ballabio, et al.
Pageof 9