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Gerhard F Ecker

Showing results (31-40 of 184) with videos related to

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Molecular Informatics|December 1, 2012
An In Silico Classification Model for Putative ABCC2 SubstratesMarta Pinto, Michael Trauner, Gerhard F Ecker
Journal of Cheminformatics|January 12, 2021
COVER: conformational oversampling as data augmentation for moleculesJennifer Hemmerich, Ece Asilar, Gerhard F Ecker
Drug Discovery Today|November 7, 2023
Privacy-preserving techniques for decentralized and secure machine learning in drug discoveryAljoša Smajić, Melanie Grandits, Gerhard F Ecker
Journal of Computer-Aided Molecular Design|April 8, 2018
Comparing the performance of meta-classifiers-a case study on selected imbalanced data sets relevant for prediction of liver toxicitySankalp Jain, Eleni Kotsampasakou, Gerhard F Ecker
Toxicology|June 28, 2017
Predicting drug-induced liver injury: The importance of data curationEleni Kotsampasakou, Floriane Montanari, Gerhard F Ecker
Journal of Chemical Information and Modeling|September 21, 2013
Ligand and structure-based classification models for prediction of P-glycoprotein inhibitorsFreya Klepsch, Poongavanam Vasanthanathan, Gerhard F Ecker
Drug Discovery Today. Technologies|July 17, 2014
Computational models for predicting the interaction with ABC transportersMarta Pinto, Daniela Digles, Gerhard F Ecker
Expert Opinion on Drug Metabolism & Toxicology|March 26, 2024
Bioactivity descriptors for in vivo toxicity prediction: now and the futurePalle Helmke, Barbara Füzi, Gerhard F Ecker
Briefings in Bioinformatics|March 11, 2025
Exploring diverse approaches for predicting interferon-gamma release: utilizing MHC class II and peptide sequencesAbir Omran, Alexander Amberg, Gerhard F Ecker
Bioorganic & Medicinal Chemistry|May 19, 2012
Fingerprint-based in silico models for the prediction of P-glycoprotein substrates and inhibitorsVasanthanathan Poongavanam, Norbert Haider, Gerhard F Ecker
Pageof 19

Showing results (31-40 of 184) with videos related to

Sort By:
Pageof 19
Molecular Informatics|December 1, 2012
An In Silico Classification Model for Putative ABCC2 SubstratesMarta Pinto, Michael Trauner, Gerhard F Ecker
Journal of Cheminformatics|January 12, 2021
COVER: conformational oversampling as data augmentation for moleculesJennifer Hemmerich, Ece Asilar, Gerhard F Ecker
Drug Discovery Today|November 7, 2023
Privacy-preserving techniques for decentralized and secure machine learning in drug discoveryAljoša Smajić, Melanie Grandits, Gerhard F Ecker
Journal of Computer-Aided Molecular Design|April 8, 2018
Comparing the performance of meta-classifiers-a case study on selected imbalanced data sets relevant for prediction of liver toxicitySankalp Jain, Eleni Kotsampasakou, Gerhard F Ecker
Toxicology|June 28, 2017
Predicting drug-induced liver injury: The importance of data curationEleni Kotsampasakou, Floriane Montanari, Gerhard F Ecker
Journal of Chemical Information and Modeling|September 21, 2013
Ligand and structure-based classification models for prediction of P-glycoprotein inhibitorsFreya Klepsch, Poongavanam Vasanthanathan, Gerhard F Ecker
Drug Discovery Today. Technologies|July 17, 2014
Computational models for predicting the interaction with ABC transportersMarta Pinto, Daniela Digles, Gerhard F Ecker
Expert Opinion on Drug Metabolism & Toxicology|March 26, 2024
Bioactivity descriptors for in vivo toxicity prediction: now and the futurePalle Helmke, Barbara Füzi, Gerhard F Ecker
Briefings in Bioinformatics|March 11, 2025
Exploring diverse approaches for predicting interferon-gamma release: utilizing MHC class II and peptide sequencesAbir Omran, Alexander Amberg, Gerhard F Ecker
Bioorganic & Medicinal Chemistry|May 19, 2012
Fingerprint-based in silico models for the prediction of P-glycoprotein substrates and inhibitorsVasanthanathan Poongavanam, Norbert Haider, Gerhard F Ecker
Pageof 19