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Mini Reviews in Medicinal Chemistry|February 22, 2005
Inhibitors of p-glycoprotein--lead identification and optimisationKarin Pleban, Gerhard F EckerCurrent Drug Research Reviews|May 9, 2023
Ligand- and Structure-based Approaches for Transmembrane Transporter ModelingMelanie Grandits, Gerhard F EckerWiley 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 EckerJournal 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 EckerMethods 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 EckerNeuropharmacology|April 28, 2019
para-Trifluoromethyl-methcathinone is an allosteric modulator of the serotonin transporterMarco Niello, Daniela Cintulova, Eva Hellsberg, et al.Current Medicinal Chemistry|June 8, 2004
In silico prediction models for blood-brain barrier permeationGerhard F Ecker, Christian R NoeMolecular Informatics|August 20, 2013
How Far Could We Go with Open Data - A Case Study for TRPV1 AntagonistsDaria A Tsareva, Gerhard F EckerChemical Biology & Drug Design|October 11, 2008
Classification models for HERG inhibitors by counter-propagation neural networksKhac-Minh Thai, Gerhard F EckerJournal 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 EckerPageof 19