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Gerhard F Ecker

Showing results (11-20 of 184) with videos related to

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Current Drug Research Reviews|May 9, 2023
Ligand- and Structure-based Approaches for Transmembrane Transporter ModelingMelanie Grandits, Gerhard F Ecker
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
Journal of Chemical Information and Modeling|February 8, 2017
Predicting Drug-Induced Cholestasis with the Help of Hepatic Transporters-An in Silico Modeling ApproachEleni Kotsampasakou, Gerhard F Ecker
Methods in Molecular Biology (Clifton, N.J.)|April 25, 2019
In Silico Approaches to Predict Drug-Transporter Interaction Profiles: Data Mining, Model Generation, and Link to CholestasisSankalp Jain, Gerhard F Ecker
Current Medicinal Chemistry|June 8, 2004
In silico prediction models for blood-brain barrier permeationGerhard F Ecker, Christian R Noe
Molecular Informatics|August 20, 2013
How Far Could We Go with Open Data - A Case Study for TRPV1 AntagonistsDaria A Tsareva, Gerhard F Ecker
Chemical Biology & Drug Design|October 11, 2008
Classification models for HERG inhibitors by counter-propagation neural networksKhac-Minh Thai, Gerhard F Ecker
Journal of Chemical Information and Modeling|May 27, 2025
Refining Drug-Induced Cholestasis Prediction: An Explainable Consensus Model Integrating Chemical and Biological FingerprintsPalle S Helmke, Gerhard F Ecker
Molecular Informatics|August 2, 2016
Open Innovation in Drug DiscoveryGerhard F Ecker, Bryn Williams-Jones
Current Medicinal Chemistry|January 29, 2008
Predictive models for HERG channel blockers: ligand-based and structure-based approachesKhac-Minh Thai, Gerhard F Ecker
Pageof 19

Showing results (11-20 of 184) with videos related to

Sort By:
Pageof 19
Current Drug Research Reviews|May 9, 2023
Ligand- and Structure-based Approaches for Transmembrane Transporter ModelingMelanie Grandits, Gerhard F Ecker
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
Journal of Chemical Information and Modeling|February 8, 2017
Predicting Drug-Induced Cholestasis with the Help of Hepatic Transporters-An in Silico Modeling ApproachEleni Kotsampasakou, Gerhard F Ecker
Methods in Molecular Biology (Clifton, N.J.)|April 25, 2019
In Silico Approaches to Predict Drug-Transporter Interaction Profiles: Data Mining, Model Generation, and Link to CholestasisSankalp Jain, Gerhard F Ecker
Current Medicinal Chemistry|June 8, 2004
In silico prediction models for blood-brain barrier permeationGerhard F Ecker, Christian R Noe
Molecular Informatics|August 20, 2013
How Far Could We Go with Open Data - A Case Study for TRPV1 AntagonistsDaria A Tsareva, Gerhard F Ecker
Chemical Biology & Drug Design|October 11, 2008
Classification models for HERG inhibitors by counter-propagation neural networksKhac-Minh Thai, Gerhard F Ecker
Journal of Chemical Information and Modeling|May 27, 2025
Refining Drug-Induced Cholestasis Prediction: An Explainable Consensus Model Integrating Chemical and Biological FingerprintsPalle S Helmke, Gerhard F Ecker
Molecular Informatics|August 2, 2016
Open Innovation in Drug DiscoveryGerhard F Ecker, Bryn Williams-Jones
Current Medicinal Chemistry|January 29, 2008
Predictive models for HERG channel blockers: ligand-based and structure-based approachesKhac-Minh Thai, Gerhard F Ecker
Pageof 19