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J Ballester

Showing results (1-10 of 123) with videos related to

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Future Medicinal Chemistry|March 25, 2011
Ultrafast shape recognition: method and applicationsPedro 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
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
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
Seminars in Thoracic and Cardiovascular Surgery|October 1, 1996
Acquired tracheoesophageal fistula and its managementL Couraud, M J Ballester, C Delaisement
Journal of Chemical Information and Modeling|February 27, 2023
Beware of Simple Methods for Structure-Based Virtual Screening: The Critical Importance of Broader ComparisonsViet-Khoa Tran-Nguyen, Pedro J Ballester
NPJ Precision Oncology|June 10, 2025
Predicting atezolizumab response in metastatic urothelial carcinoma patients using machine learning on integrated tumour gene expression and clinical dataChayanit Piyawajanusorn, Ghita Ghislat, Pedro J Ballester
Pageof 13

Showing results (1-10 of 123) with videos related to

Sort By:
Pageof 13
Future Medicinal Chemistry|March 25, 2011
Ultrafast shape recognition: method and applicationsPedro 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
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
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
Seminars in Thoracic and Cardiovascular Surgery|October 1, 1996
Acquired tracheoesophageal fistula and its managementL Couraud, M J Ballester, C Delaisement
Journal of Chemical Information and Modeling|February 27, 2023
Beware of Simple Methods for Structure-Based Virtual Screening: The Critical Importance of Broader ComparisonsViet-Khoa Tran-Nguyen, Pedro J Ballester
NPJ Precision Oncology|June 10, 2025
Predicting atezolizumab response in metastatic urothelial carcinoma patients using machine learning on integrated tumour gene expression and clinical dataChayanit Piyawajanusorn, Ghita Ghislat, Pedro J Ballester
Pageof 13