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Pedro J Ballester

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Briefings in Bioinformatics|October 16, 2021
Artificial intelligence for drug response prediction in disease modelsPedro J Ballester, Rick Stevens, Benjamin Haibe-Kains, et al.
Journal of Advanced Research|January 27, 2024
Inactive-enriched machine-learning models exploiting patent data improve structure-based virtual screening for PDL1 dimerizersPablo Gómez-Sacristán, Saw Simeon, Viet-Khoa Tran-Nguyen, et al.
Biomolecules|March 15, 2018
The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity PredictionHongjian Li, Jiangjun Peng, Yee Leung, et al.
Chemical Biology & Drug Design|March 28, 2019
MolTarPred: A web tool for comprehensive target prediction with reliability estimationAntonio Peón, Hongjian Li, Ghita Ghislat, et al.
Aging Cell|June 17, 2017
Drug repurposing for aging research using model organismsMatthias Ziehm, Satwant Kaur, Dobril K Ivanov, et al.
Plos One|May 7, 2013
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical propertiesMichael P Menden, Francesco Iorio, Mathew Garnett, et al.
Bioinformatics (Oxford, England)|March 16, 2019
Classical scoring functions for docking are unable to exploit large volumes of structural and interaction dataHongjian Li, Jiangjun Peng, Pavel Sidorov, et al.
Journal of the Royal Society, Interface|August 31, 2012
Hierarchical virtual screening for the discovery of new molecular scaffolds in antibacterial hit identificationPedro J Ballester, Martina Mangold, Nigel I Howard, et al.
Science Immunology|July 10, 2021
NF-κB-dependent IRF1 activation programs cDC1 dendritic cells to drive antitumor immunityGhita Ghislat, Ammar S Cheema, Elodie Baudoin, et al.
Chemical Society Reviews|April 25, 2025
Cross-disciplinary perspectives on the potential for artificial intelligence across chemistryAustin M Mroz, Annabel R Basford, Friedrich Hastedt, et al.
Pageof 6

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

Sort By:
Pageof 6
You have reached the last page of results.This site can display upto 60 results.
Briefings in Bioinformatics|October 16, 2021
Artificial intelligence for drug response prediction in disease modelsPedro J Ballester, Rick Stevens, Benjamin Haibe-Kains, et al.
Journal of Advanced Research|January 27, 2024
Inactive-enriched machine-learning models exploiting patent data improve structure-based virtual screening for PDL1 dimerizersPablo Gómez-Sacristán, Saw Simeon, Viet-Khoa Tran-Nguyen, et al.
Biomolecules|March 15, 2018
The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity PredictionHongjian Li, Jiangjun Peng, Yee Leung, et al.
Chemical Biology & Drug Design|March 28, 2019
MolTarPred: A web tool for comprehensive target prediction with reliability estimationAntonio Peón, Hongjian Li, Ghita Ghislat, et al.
Aging Cell|June 17, 2017
Drug repurposing for aging research using model organismsMatthias Ziehm, Satwant Kaur, Dobril K Ivanov, et al.
Plos One|May 7, 2013
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical propertiesMichael P Menden, Francesco Iorio, Mathew Garnett, et al.
Bioinformatics (Oxford, England)|March 16, 2019
Classical scoring functions for docking are unable to exploit large volumes of structural and interaction dataHongjian Li, Jiangjun Peng, Pavel Sidorov, et al.
Journal of the Royal Society, Interface|August 31, 2012
Hierarchical virtual screening for the discovery of new molecular scaffolds in antibacterial hit identificationPedro J Ballester, Martina Mangold, Nigel I Howard, et al.
Science Immunology|July 10, 2021
NF-κB-dependent IRF1 activation programs cDC1 dendritic cells to drive antitumor immunityGhita Ghislat, Ammar S Cheema, Elodie Baudoin, et al.
Chemical Society Reviews|April 25, 2025
Cross-disciplinary perspectives on the potential for artificial intelligence across chemistryAustin M Mroz, Annabel R Basford, Friedrich Hastedt, et al.
Pageof 6