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Juan I Di Filippo

Showing results (1-10 of 8) with videos related to

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Journal of Chemical Information and Modeling|April 10, 2023
The Impact of Supervised Learning Methods in Ultralarge High-Throughput DockingClaudio N Cavasotto, Juan I Di Filippo
Expert Opinion on Drug Discovery|September 21, 2021
Guided structure-based ligand identification and design via artificial intelligence modelingJuan I Di Filippo, Claudio N Cavasotto
Archives of Biochemistry and Biophysics|December 21, 2020
Artificial intelligence in the early stages of drug discoveryClaudio N Cavasotto, Juan I Di Filippo
Molecular Informatics|July 30, 2020
In silico Drug Repurposing for COVID-19: Targeting SARS-CoV-2 Proteins through Docking and Consensus RankingClaudio N Cavasotto, Juan I Di Filippo
Frontiers in Chemistry|August 6, 2021
A Machine Learning Model to Predict Drug Transfer Across the Human Placenta BarrierJuan I Di Filippo, Mariela Bollini, Claudio N Cavasotto
Iscience|January 23, 2023
How good are AlphaFold models for docking-based virtual screening?Valeria Scardino, Juan I Di Filippo, Claudio N Cavasotto
Expert Opinion on Drug Discovery|May 10, 2024
Lessons learnt from machine learning in early stages of drug discoveryClaudio N Cavasotto, Juan I Di Filippo, Valeria Scardino
ACS Omega|April 28, 2025
Assessing the Robustness and Scalability of Machine Learning Methods to Accelerate Ultralarge High-Throughput Docking CampaignsJuan I Di Filippo, Santiago Rómoli, Claudio N Cavasotto
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Chemical Information and Modeling|April 10, 2023
The Impact of Supervised Learning Methods in Ultralarge High-Throughput DockingClaudio N Cavasotto, Juan I Di Filippo
Expert Opinion on Drug Discovery|September 21, 2021
Guided structure-based ligand identification and design via artificial intelligence modelingJuan I Di Filippo, Claudio N Cavasotto
Archives of Biochemistry and Biophysics|December 21, 2020
Artificial intelligence in the early stages of drug discoveryClaudio N Cavasotto, Juan I Di Filippo
Molecular Informatics|July 30, 2020
In silico Drug Repurposing for COVID-19: Targeting SARS-CoV-2 Proteins through Docking and Consensus RankingClaudio N Cavasotto, Juan I Di Filippo
Frontiers in Chemistry|August 6, 2021
A Machine Learning Model to Predict Drug Transfer Across the Human Placenta BarrierJuan I Di Filippo, Mariela Bollini, Claudio N Cavasotto
Iscience|January 23, 2023
How good are AlphaFold models for docking-based virtual screening?Valeria Scardino, Juan I Di Filippo, Claudio N Cavasotto
Expert Opinion on Drug Discovery|May 10, 2024
Lessons learnt from machine learning in early stages of drug discoveryClaudio N Cavasotto, Juan I Di Filippo, Valeria Scardino
ACS Omega|April 28, 2025
Assessing the Robustness and Scalability of Machine Learning Methods to Accelerate Ultralarge High-Throughput Docking CampaignsJuan I Di Filippo, Santiago Rómoli, Claudio N Cavasotto
Pageof 1