Search research articles
Contact Us
Filters
Showing results (1-10 of 30) with videos related to
Page
of 3
Sort By:
Journal of Chemical Information and Modeling
|
January 8, 2019
Predictive Multitask Deep Neural Network Models for ADME-Tox Properties: Learning from Large Data Sets
Jan Wenzel, Hans Matter, Friedemann Schmidt
Future Medicinal Chemistry
|
March 1, 2014
Predictive in silico off-target profiling in drug discovery
Friedemann Schmidt, Hans Matter, Gerhard Hessler, et al.
Journal of Pharmacological and Toxicological Methods
|
April 15, 2022
Accurate in silico simulation of the rabbit Purkinje fiber electrophysiological assay to facilitate early pharmaceutical cardiosafety assessment: Dream or reality?
Marcel Mohr, Jean-Marie Chambard, Véronique Ballet, et al.
Journal of Computer-Aided Molecular Design
|
March 31, 2010
Prediction of tautomer ratios by embedded-cluster integral equation theory
Stefan M Kast, Jochen Heil, Stefan Güssregen, et al.
Nature Reviews. Drug Discovery
|
April 22, 2025
Shaping secondary pharmacology panels of the future: evolving target selection criteria for safety panels
Friedemann Schmidt, Richard J Brennan, Steve Jenkinson, et al.
Frontiers in Toxicology
|
October 24, 2022
Cross clinical-experimental-computational qualification of <i>in silico</i> drug trials on human cardiac purkinje cells for proarrhythmia risk prediction
Cristian Trovato, Marcel Mohr, Friedemann Schmidt, et al.
Chemical Research in Toxicology
|
October 27, 2022
Predicting DNA-Reactivity of N-Nitrosamines: A Quantum Chemical Approach
Jan Wenzel, Friedemann Schmidt, Matthias Blumrich, et al.
Chemmedchem
|
October 1, 2021
Application of Deep Neural Network Models in Drug Discovery Programs
Christoph Grebner, Hans Matter, Daniel Kofink, et al.
Journal of Pharmacological and Toxicological Methods
|
April 18, 2020
A practical guide to secondary pharmacology in drug discovery
Stephen Jenkinson, Friedemann Schmidt, Lyn Rosenbrier Ribeiro, et al.
Chemical Research in Toxicology
|
October 19, 2019
Computational Investigation of Drug Phototoxicity: Photosafety Assessment, Photo-Toxophore Identification, and Machine Learning
Friedemann Schmidt, Jan Wenzel, Nis Halland, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 30) with videos related to
Sort By:
Page
of 3
Journal of Chemical Information and Modeling
|
January 8, 2019
Predictive Multitask Deep Neural Network Models for ADME-Tox Properties: Learning from Large Data Sets
Jan Wenzel, Hans Matter, Friedemann Schmidt
Future Medicinal Chemistry
|
March 1, 2014
Predictive in silico off-target profiling in drug discovery
Friedemann Schmidt, Hans Matter, Gerhard Hessler, et al.
Journal of Pharmacological and Toxicological Methods
|
April 15, 2022
Accurate in silico simulation of the rabbit Purkinje fiber electrophysiological assay to facilitate early pharmaceutical cardiosafety assessment: Dream or reality?
Marcel Mohr, Jean-Marie Chambard, Véronique Ballet, et al.
Journal of Computer-Aided Molecular Design
|
March 31, 2010
Prediction of tautomer ratios by embedded-cluster integral equation theory
Stefan M Kast, Jochen Heil, Stefan Güssregen, et al.
Nature Reviews. Drug Discovery
|
April 22, 2025
Shaping secondary pharmacology panels of the future: evolving target selection criteria for safety panels
Friedemann Schmidt, Richard J Brennan, Steve Jenkinson, et al.
Frontiers in Toxicology
|
October 24, 2022
Cross clinical-experimental-computational qualification of <i>in silico</i> drug trials on human cardiac purkinje cells for proarrhythmia risk prediction
Cristian Trovato, Marcel Mohr, Friedemann Schmidt, et al.
Chemical Research in Toxicology
|
October 27, 2022
Predicting DNA-Reactivity of N-Nitrosamines: A Quantum Chemical Approach
Jan Wenzel, Friedemann Schmidt, Matthias Blumrich, et al.
Chemmedchem
|
October 1, 2021
Application of Deep Neural Network Models in Drug Discovery Programs
Christoph Grebner, Hans Matter, Daniel Kofink, et al.
Journal of Pharmacological and Toxicological Methods
|
April 18, 2020
A practical guide to secondary pharmacology in drug discovery
Stephen Jenkinson, Friedemann Schmidt, Lyn Rosenbrier Ribeiro, et al.
Chemical Research in Toxicology
|
October 19, 2019
Computational Investigation of Drug Phototoxicity: Photosafety Assessment, Photo-Toxophore Identification, and Machine Learning
Friedemann Schmidt, Jan Wenzel, Nis Halland, et al.
Page
of 3