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Hans Matter

Showing results (11-20 of 66) with videos related to

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Frontiers in Chemistry|November 7, 2022
Optimizing interactions to protein binding sites by integrating docking-scoring strategies into generative AI methodsSusanne Sauer, Hans Matter, Gerhard Hessler, et al.
Journal of Chemical Information and Modeling|January 28, 2020
Impact of Different Automated Binding Pose Generation Approaches on Relative Binding Free Energy SimulationsDaniel Cappel, Steven Jerome, Gerhard Hessler, et al.
Future Medicinal Chemistry|March 1, 2014
Predictive in silico off-target profiling in drug discoveryFriedemann Schmidt, Hans Matter, Gerhard Hessler, et al.
Journal of Chemical Information and Modeling|September 5, 2023
Integrating Reaction Schemes, Reagent Databases, and Virtual Libraries into Fragment-Based Design by Reinforcement LearningSusanne Sauer, Hans Matter, Gerhard Hessler, et al.
Proteins|April 30, 2008
SFCscore: scoring functions for affinity prediction of protein-ligand complexesChristoph A Sotriffer, Paul Sanschagrin, Hans Matter, et al.
Journal of Medicinal Chemistry|March 6, 2020
Automated De Novo Design in Medicinal Chemistry: Which Types of Chemistry Does a Generative Neural Network Learn?Christoph Grebner, Hans Matter, Alleyn T Plowright, et al.
Journal of Chemical Information and Modeling|January 26, 2022
Interpretation of Structure-Activity Relationships in Real-World Drug Design Data Sets Using Explainable Artificial IntelligenceTobias Harren, Hans Matter, Gerhard Hessler, et al.
Journal of Cheminformatics|April 26, 2014
Quantum-mechanics-based molecular interaction fields for 3D-QSARAhmed Elkerdawy, Stefan Güssregen, Hans Matter, et al.
CPT: Pharmacometrics & Systems Pharmacology|April 23, 2026
Machine Learning Meets Pharmacokinetics: A Comparative Analysis of Predictive Models for Plasma Concentration-Time ProfilesFelix Jost, Clemens Giegerich, Christoph Grebner, et al.
Journal of Chemical Information and Modeling|October 8, 2025
Upgrading Reliability in Molecular Property Prediction by Robust Quantification of Uncertainty from Machine Learning ModelsAlex Kötter, Kanishka Singh, Hans Matter, et al.
Pageof 7

Showing results (11-20 of 66) with videos related to

Sort By:
Pageof 7
Frontiers in Chemistry|November 7, 2022
Optimizing interactions to protein binding sites by integrating docking-scoring strategies into generative AI methodsSusanne Sauer, Hans Matter, Gerhard Hessler, et al.
Journal of Chemical Information and Modeling|January 28, 2020
Impact of Different Automated Binding Pose Generation Approaches on Relative Binding Free Energy SimulationsDaniel Cappel, Steven Jerome, Gerhard Hessler, et al.
Future Medicinal Chemistry|March 1, 2014
Predictive in silico off-target profiling in drug discoveryFriedemann Schmidt, Hans Matter, Gerhard Hessler, et al.
Journal of Chemical Information and Modeling|September 5, 2023
Integrating Reaction Schemes, Reagent Databases, and Virtual Libraries into Fragment-Based Design by Reinforcement LearningSusanne Sauer, Hans Matter, Gerhard Hessler, et al.
Proteins|April 30, 2008
SFCscore: scoring functions for affinity prediction of protein-ligand complexesChristoph A Sotriffer, Paul Sanschagrin, Hans Matter, et al.
Journal of Medicinal Chemistry|March 6, 2020
Automated De Novo Design in Medicinal Chemistry: Which Types of Chemistry Does a Generative Neural Network Learn?Christoph Grebner, Hans Matter, Alleyn T Plowright, et al.
Journal of Chemical Information and Modeling|January 26, 2022
Interpretation of Structure-Activity Relationships in Real-World Drug Design Data Sets Using Explainable Artificial IntelligenceTobias Harren, Hans Matter, Gerhard Hessler, et al.
Journal of Cheminformatics|April 26, 2014
Quantum-mechanics-based molecular interaction fields for 3D-QSARAhmed Elkerdawy, Stefan Güssregen, Hans Matter, et al.
CPT: Pharmacometrics & Systems Pharmacology|April 23, 2026
Machine Learning Meets Pharmacokinetics: A Comparative Analysis of Predictive Models for Plasma Concentration-Time ProfilesFelix Jost, Clemens Giegerich, Christoph Grebner, et al.
Journal of Chemical Information and Modeling|October 8, 2025
Upgrading Reliability in Molecular Property Prediction by Robust Quantification of Uncertainty from Machine Learning ModelsAlex Kötter, Kanishka Singh, Hans Matter, et al.
Pageof 7