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Jennifer Hemmerich

Showing results (1-10 of 9) with videos related to

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Wiley Interdisciplinary Reviews. Computational Molecular Science|July 22, 2022
In silico toxicology: From structure-activity relationships towards deep learning and adverse outcome pathwaysJennifer Hemmerich, Gerhard F Ecker
Current Medicinal Chemistry|August 2, 2019
Accessing Public Compound Databases with KNIMEJennifer Hemmerich, Jana Gurinova, Daniela Digles
Journal of Cheminformatics|January 12, 2021
COVER: conformational oversampling as data augmentation for moleculesJennifer Hemmerich, Ece Asilar, Gerhard F Ecker
Journal of Chemical Information and Modeling|January 25, 2020
Image Based Liver Toxicity PredictionEce Asilar, Jennifer Hemmerich, Gerhard F Ecker
Molecular Informatics|February 29, 2020
Using Machine Learning Methods and Structural Alerts for Prediction of Mitochondrial ToxicityJennifer Hemmerich, Florentina Troger, Barbara Füzi, et al.
Journal of Chemical Information and Modeling|September 17, 2024
MolPipeline: A Python Package for Processing Molecules with RDKit in Scikit-learnJochen Sieg, Christian W Feldmann, Jennifer Hemmerich, et al.
Journal of Chemical Information and Modeling|November 18, 2025
A Simple Framework for Collaborative Development of Predictive Models Trained on Proprietary DataPablo Rodríguez-Belenguer, Alexander Amberg, Frank Bringezu, et al.
Environmental and Molecular Mutagenesis|December 4, 2024
Evaluation of the standard battery of in vitro genotoxicity tests to predict in vivo genotoxicity through mathematical modeling: A report from the 8th International Workshop on Genotoxicity TestingMirjam Luijten, Jan van Benthem, Takeshi Morita, et al.
Nature Chemical Biology|March 11, 2020
A widespread role for SLC transmembrane transporters in resistance to cytotoxic drugsEnrico Girardi, Adrián César-Razquin, Sabrina Lindinger, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Wiley Interdisciplinary Reviews. Computational Molecular Science|July 22, 2022
In silico toxicology: From structure-activity relationships towards deep learning and adverse outcome pathwaysJennifer Hemmerich, Gerhard F Ecker
Current Medicinal Chemistry|August 2, 2019
Accessing Public Compound Databases with KNIMEJennifer Hemmerich, Jana Gurinova, Daniela Digles
Journal of Cheminformatics|January 12, 2021
COVER: conformational oversampling as data augmentation for moleculesJennifer Hemmerich, Ece Asilar, Gerhard F Ecker
Journal of Chemical Information and Modeling|January 25, 2020
Image Based Liver Toxicity PredictionEce Asilar, Jennifer Hemmerich, Gerhard F Ecker
Molecular Informatics|February 29, 2020
Using Machine Learning Methods and Structural Alerts for Prediction of Mitochondrial ToxicityJennifer Hemmerich, Florentina Troger, Barbara Füzi, et al.
Journal of Chemical Information and Modeling|September 17, 2024
MolPipeline: A Python Package for Processing Molecules with RDKit in Scikit-learnJochen Sieg, Christian W Feldmann, Jennifer Hemmerich, et al.
Journal of Chemical Information and Modeling|November 18, 2025
A Simple Framework for Collaborative Development of Predictive Models Trained on Proprietary DataPablo Rodríguez-Belenguer, Alexander Amberg, Frank Bringezu, et al.
Environmental and Molecular Mutagenesis|December 4, 2024
Evaluation of the standard battery of in vitro genotoxicity tests to predict in vivo genotoxicity through mathematical modeling: A report from the 8th International Workshop on Genotoxicity TestingMirjam Luijten, Jan van Benthem, Takeshi Morita, et al.
Nature Chemical Biology|March 11, 2020
A widespread role for SLC transmembrane transporters in resistance to cytotoxic drugsEnrico Girardi, Adrián César-Razquin, Sabrina Lindinger, et al.
Pageof 1