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Journal of Chemical Information and Modeling
|
January 30, 2019
Mechanistic Reactivity Descriptors for the Prediction of Ames Mutagenicity of Primary Aromatic Amines
Lara Kuhnke, Antonius Ter Laak, Andreas H Göller
Molecules (Basel, Switzerland)
|
December 28, 2019
Modeling Physico-Chemical ADMET Endpoints with Multitask Graph Convolutional Networks
Floriane Montanari, Lara Kuhnke, Antonius Ter Laak, et al.
Journal of Cheminformatics
|
April 28, 2023
Large-scale evaluation of k-fold cross-validation ensembles for uncertainty estimation
Thomas-Martin Dutschmann, Lennart Kinzel, Antonius Ter Laak, et al.
Journal of Cheminformatics
|
November 1, 2017
Efficiency of different measures for defining the applicability domain of classification models
Waldemar Klingspohn, Miriam Mathea, Antonius Ter Laak, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
November 3, 2021
Machine Learning Applied to the Modeling of Pharmacological and ADMET Endpoints
Andreas H Göller, Lara Kuhnke, Antonius Ter Laak, et al.
Plos One
|
February 18, 2011
Chemogenomic analysis of G-protein coupled receptors and their ligands deciphers locks and keys governing diverse aspects of signalling
Jörg D Wichard, Antonius Ter Laak, Gerd Krause, et al.
Journal of Chemical Information and Modeling
|
October 2, 2010
A maximum common subgraph kernel method for predicting the chromosome aberration test
Johannes Mohr, Brijnesh Jain, Andreas Sutter, et al.
Molecular Pharmaceutics
|
July 20, 2007
Machine learning models for lipophilicity and their domain of applicability
Timon Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Journal of Chemical Information and Modeling
|
August 26, 2009
Benchmark data set for in silico prediction of Ames mutagenicity
Katja Hansen, Sebastian Mika, Timon Schroeter, et al.
Journal of Computer-Aided Molecular Design
|
July 17, 2007
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules
Timon Sebastian Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 24) with videos related to
Sort By:
Page
of 3
Journal of Chemical Information and Modeling
|
January 30, 2019
Mechanistic Reactivity Descriptors for the Prediction of Ames Mutagenicity of Primary Aromatic Amines
Lara Kuhnke, Antonius Ter Laak, Andreas H Göller
Molecules (Basel, Switzerland)
|
December 28, 2019
Modeling Physico-Chemical ADMET Endpoints with Multitask Graph Convolutional Networks
Floriane Montanari, Lara Kuhnke, Antonius Ter Laak, et al.
Journal of Cheminformatics
|
April 28, 2023
Large-scale evaluation of k-fold cross-validation ensembles for uncertainty estimation
Thomas-Martin Dutschmann, Lennart Kinzel, Antonius Ter Laak, et al.
Journal of Cheminformatics
|
November 1, 2017
Efficiency of different measures for defining the applicability domain of classification models
Waldemar Klingspohn, Miriam Mathea, Antonius Ter Laak, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
November 3, 2021
Machine Learning Applied to the Modeling of Pharmacological and ADMET Endpoints
Andreas H Göller, Lara Kuhnke, Antonius Ter Laak, et al.
Plos One
|
February 18, 2011
Chemogenomic analysis of G-protein coupled receptors and their ligands deciphers locks and keys governing diverse aspects of signalling
Jörg D Wichard, Antonius Ter Laak, Gerd Krause, et al.
Journal of Chemical Information and Modeling
|
October 2, 2010
A maximum common subgraph kernel method for predicting the chromosome aberration test
Johannes Mohr, Brijnesh Jain, Andreas Sutter, et al.
Molecular Pharmaceutics
|
July 20, 2007
Machine learning models for lipophilicity and their domain of applicability
Timon Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Journal of Chemical Information and Modeling
|
August 26, 2009
Benchmark data set for in silico prediction of Ames mutagenicity
Katja Hansen, Sebastian Mika, Timon Schroeter, et al.
Journal of Computer-Aided Molecular Design
|
July 17, 2007
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules
Timon Sebastian Schroeter, Anton Schwaighofer, Sebastian Mika, et al.
Page
of 3