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Michael Reutlinger

Showing results (1-10 of 34) with videos related to

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Journal of Molecular Graphics & Modelling|February 14, 2012
Nonlinear dimensionality reduction and mapping of compound libraries for drug discoveryMichael Reutlinger, Gisbert Schneider
European Journal of Medicinal Chemistry|July 10, 2025
Leveraging machine learning predicted confidence for boosting assay submission and decision-making efficienciesDavide Bassani, Michael Reutlinger, Holger Fischer
Angewandte Chemie (International Ed. in English)|November 28, 2013
Combining on-chip synthesis of a focused combinatorial library with computational target prediction reveals imidazopyridine GPCR ligandsMichael Reutlinger, Tiago Rodrigues, Petra Schneider, et al.
Angewandte Chemie (International Ed. in English)|March 14, 2014
Multi-objective molecular de novo design by adaptive fragment prioritizationMichael Reutlinger, Tiago Rodrigues, Petra Schneider, et al.
Chimia|February 27, 2021
Augmenting Chemical Space with DNA-encoded Library Technology and Machine LearningLaura Guasch, Michael Reutlinger, Daniel Stoffler, et al.
Molecular Informatics|February 14, 2022
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical SpacesFabio Broccatelli, Richard Trager, Michael Reutlinger, et al.
Molecular Pharmaceutics|September 15, 2023
A Machine Learning Framework to Improve Rat Clearance Predictions and Inform Physiologically Based Pharmacokinetic ModelingAndrea Andrews-Morger, Michael Reutlinger, Neil Parrott, et al.
Journal of Chemical Information and Modeling|November 18, 2011
Rationalizing tight ligand binding through cooperative interaction networksBernd Kuhn, Julian E Fuchs, Michael Reutlinger, et al.
Trends in Biotechnology|November 14, 2008
Voyages to the (un)known: adaptive design of bioactive compoundsGisbert Schneider, Markus Hartenfeller, Michael Reutlinger, et al.
Molecular Pharmaceutics|March 7, 2025
Multitask Deep Learning Models of Combined Industrial Absorption, Distribution, Metabolism, and Excretion Datasets to Improve GeneralizationJoseph A Napoli, Michael Reutlinger, Patricia Brandl, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Journal of Molecular Graphics & Modelling|February 14, 2012
Nonlinear dimensionality reduction and mapping of compound libraries for drug discoveryMichael Reutlinger, Gisbert Schneider
European Journal of Medicinal Chemistry|July 10, 2025
Leveraging machine learning predicted confidence for boosting assay submission and decision-making efficienciesDavide Bassani, Michael Reutlinger, Holger Fischer
Angewandte Chemie (International Ed. in English)|November 28, 2013
Combining on-chip synthesis of a focused combinatorial library with computational target prediction reveals imidazopyridine GPCR ligandsMichael Reutlinger, Tiago Rodrigues, Petra Schneider, et al.
Angewandte Chemie (International Ed. in English)|March 14, 2014
Multi-objective molecular de novo design by adaptive fragment prioritizationMichael Reutlinger, Tiago Rodrigues, Petra Schneider, et al.
Chimia|February 27, 2021
Augmenting Chemical Space with DNA-encoded Library Technology and Machine LearningLaura Guasch, Michael Reutlinger, Daniel Stoffler, et al.
Molecular Informatics|February 14, 2022
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical SpacesFabio Broccatelli, Richard Trager, Michael Reutlinger, et al.
Molecular Pharmaceutics|September 15, 2023
A Machine Learning Framework to Improve Rat Clearance Predictions and Inform Physiologically Based Pharmacokinetic ModelingAndrea Andrews-Morger, Michael Reutlinger, Neil Parrott, et al.
Journal of Chemical Information and Modeling|November 18, 2011
Rationalizing tight ligand binding through cooperative interaction networksBernd Kuhn, Julian E Fuchs, Michael Reutlinger, et al.
Trends in Biotechnology|November 14, 2008
Voyages to the (un)known: adaptive design of bioactive compoundsGisbert Schneider, Markus Hartenfeller, Michael Reutlinger, et al.
Molecular Pharmaceutics|March 7, 2025
Multitask Deep Learning Models of Combined Industrial Absorption, Distribution, Metabolism, and Excretion Datasets to Improve GeneralizationJoseph A Napoli, Michael Reutlinger, Patricia Brandl, et al.
Pageof 4