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Pedro J Ballester

Showing results (1-10 of 60) with videos related to

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Future Medicinal Chemistry|March 25, 2011
Ultrafast shape recognition: method and applicationsPedro J Ballester
Nature|December 12, 2023
The AI revolution in chemistry is not that far awayPedro J Ballester
Biomolecules|June 7, 2019
Machine Learning for Molecular Modelling in Drug DesignPedro J Ballester
Drug Discovery Today. Technologies|January 2, 2021
Selecting machine-learning scoring functions for structure-based virtual screeningPedro J Ballester
NPJ Precision Oncology|August 19, 2021
Artificial intelligence for the next generation of precision oncologyPedro J Ballester, Javier Carmona
Briefings in Bioinformatics|June 23, 2020
The impact of compound library size on the performance of scoring functions for structure-based virtual screeningLouison Fresnais, Pedro J Ballester
Journal of Computational Chemistry|March 8, 2007
Ultrafast shape recognition to search compound databases for similar molecular shapesPedro J Ballester, W Graham Richards
Biomolecules|March 29, 2023
On the Best Way to Cluster NCI-60 MoleculesSaiveth Hernández-Hernández, Pedro J Ballester
Journal of Chemical Information and Modeling|May 20, 2011
Comments on "leave-cluster-out cross-validation is appropriate for scoring functions derived from diverse protein data sets": significance for the validation of scoring functionsPedro J Ballester, John B O Mitchell
Current Opinion in Chemical Biology|May 30, 2021
Recent progress on the prospective application of machine learning to structure-based virtual screeningGhita Ghislat, Taufiq Rahman, Pedro J Ballester
Pageof 6

Showing results (1-10 of 60) with videos related to

Sort By:
Pageof 6
Future Medicinal Chemistry|March 25, 2011
Ultrafast shape recognition: method and applicationsPedro J Ballester
Nature|December 12, 2023
The AI revolution in chemistry is not that far awayPedro J Ballester
Biomolecules|June 7, 2019
Machine Learning for Molecular Modelling in Drug DesignPedro J Ballester
Drug Discovery Today. Technologies|January 2, 2021
Selecting machine-learning scoring functions for structure-based virtual screeningPedro J Ballester
NPJ Precision Oncology|August 19, 2021
Artificial intelligence for the next generation of precision oncologyPedro J Ballester, Javier Carmona
Briefings in Bioinformatics|June 23, 2020
The impact of compound library size on the performance of scoring functions for structure-based virtual screeningLouison Fresnais, Pedro J Ballester
Journal of Computational Chemistry|March 8, 2007
Ultrafast shape recognition to search compound databases for similar molecular shapesPedro J Ballester, W Graham Richards
Biomolecules|March 29, 2023
On the Best Way to Cluster NCI-60 MoleculesSaiveth Hernández-Hernández, Pedro J Ballester
Journal of Chemical Information and Modeling|May 20, 2011
Comments on "leave-cluster-out cross-validation is appropriate for scoring functions derived from diverse protein data sets": significance for the validation of scoring functionsPedro J Ballester, John B O Mitchell
Current Opinion in Chemical Biology|May 30, 2021
Recent progress on the prospective application of machine learning to structure-based virtual screeningGhita Ghislat, Taufiq Rahman, Pedro J Ballester
Pageof 6