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Bernd Beck

Showing results (11-20 of 20) with videos related to

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Chemmedchem|July 10, 2009
A consistent dataset of kinetic solubilities for early-phase drug discoveryChristian Kramer, Tilmann Heinisch, Thilo Fligge, et al.
Journal of Medicinal Chemistry|July 26, 2002
Descriptors, physical properties, and drug-likenessMatthias Brüstle, Bernd Beck, Torsten Schindler, et al.
Molecular Informatics|April 30, 2020
Parallel Generative Topographic Mapping: An Efficient Approach for Big Data HandlingArkadii Lin, Igor I Baskin, Gilles Marcou, et al.
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|March 24, 2005
Multivariate modeling of cytochrome P450 3A4 inhibitionJan M Kriegl, Lennart Eriksson, Thomas Arnhold, et al.
The Journal of Antibiotics|July 26, 2002
Cyclipostins, novel hormone-sensitive lipase inhibitors from Streptomyces sp. DSM 13381. II. Isolation, structure elucidation and biological propertiesLaszló Vértesy, Bernd Beck, Mark Brönstrup, et al.
Molecules (Basel, Switzerland)|November 27, 2021
Don't Overweight Weights: Evaluation of Weighting Strategies for Multi-Task Bioactivity Classification ModelsLina Humbeck, Tobias Morawietz, Noe Sturm, et al.
Journal of Cheminformatics|December 8, 2021
Splitting chemical structure data sets for federated privacy-preserving machine learningJaak Simm, Lina Humbeck, Adam Zalewski, et al.
Journal of Chemical Information and Modeling|December 25, 2008
Sharpening the toolbox of computational chemistry: a new approximation of critical f-values for multiple linear regressionChristian Kramer, Christofer S Tautermann, David J Livingstone, et al.
Frontiers in Pharmacology|November 22, 2019
Applications of Deep-Learning in Exploiting Large-Scale and Heterogeneous Compound Data in Industrial Pharmaceutical ResearchLaurianne David, Josep Arús-Pous, Johan Karlsson, et al.
Journal of Chemical Information and Modeling|August 29, 2023
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary InformationWouter Heyndrickx, Lewis Mervin, Tobias Morawietz, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Chemmedchem|July 10, 2009
A consistent dataset of kinetic solubilities for early-phase drug discoveryChristian Kramer, Tilmann Heinisch, Thilo Fligge, et al.
Journal of Medicinal Chemistry|July 26, 2002
Descriptors, physical properties, and drug-likenessMatthias Brüstle, Bernd Beck, Torsten Schindler, et al.
Molecular Informatics|April 30, 2020
Parallel Generative Topographic Mapping: An Efficient Approach for Big Data HandlingArkadii Lin, Igor I Baskin, Gilles Marcou, et al.
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|March 24, 2005
Multivariate modeling of cytochrome P450 3A4 inhibitionJan M Kriegl, Lennart Eriksson, Thomas Arnhold, et al.
The Journal of Antibiotics|July 26, 2002
Cyclipostins, novel hormone-sensitive lipase inhibitors from Streptomyces sp. DSM 13381. II. Isolation, structure elucidation and biological propertiesLaszló Vértesy, Bernd Beck, Mark Brönstrup, et al.
Molecules (Basel, Switzerland)|November 27, 2021
Don't Overweight Weights: Evaluation of Weighting Strategies for Multi-Task Bioactivity Classification ModelsLina Humbeck, Tobias Morawietz, Noe Sturm, et al.
Journal of Cheminformatics|December 8, 2021
Splitting chemical structure data sets for federated privacy-preserving machine learningJaak Simm, Lina Humbeck, Adam Zalewski, et al.
Journal of Chemical Information and Modeling|December 25, 2008
Sharpening the toolbox of computational chemistry: a new approximation of critical f-values for multiple linear regressionChristian Kramer, Christofer S Tautermann, David J Livingstone, et al.
Frontiers in Pharmacology|November 22, 2019
Applications of Deep-Learning in Exploiting Large-Scale and Heterogeneous Compound Data in Industrial Pharmaceutical ResearchLaurianne David, Josep Arús-Pous, Johan Karlsson, et al.
Journal of Chemical Information and Modeling|August 29, 2023
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary InformationWouter Heyndrickx, Lewis Mervin, Tobias Morawietz, et al.
Pageof 2