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Igor V Tetko

Showing results (61-70 of 126) with videos related to

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Journal of Chemical Information and Modeling|May 24, 2011
A comparison of different QSAR approaches to modeling CYP450 1A2 inhibitionSergii Novotarskyi, Iurii Sushko, Robert Körner, et al.
Journal of Cheminformatics|March 27, 2025
Publishing neural networks in drug discovery might compromise training data privacyFabian P Krüger, Johan Östman, Lewis Mervin, et al.
International Journal of Molecular Sciences|February 15, 2022
More Is Not Always Better: Local Models Provide Accurate Predictions of Spectral Properties of PorphyrinsAleksey I Rusanov, Olga A Dmitrieva, Nugzar Zh Mamardashvili, et al.
Molecular Informatics|July 29, 2016
BIGCHEM: Challenges and Opportunities for Big Data Analysis in ChemistryIgor V Tetko, Ola Engkvist, Uwe Koch, et al.
Chemical Research in Toxicology|August 21, 2023
Introduction to the Special Issue: AI Meets ToxicologyGünter Klambauer, Djork-Arné Clevert, Imran Shah, et al.
Journal of Chemical Information and Modeling|August 11, 2012
ToxAlerts: a Web server of structural alerts for toxic chemicals and compounds with potential adverse reactionsIurii Sushko, Elena Salmina, Vladimir A Potemkin, et al.
Molecular Informatics|December 1, 2018
A Survey of Multi-task Learning Methods in ChemoinformaticsSergey Sosnin, Mariia Vashurina, Michael Withnall, et al.
Computational Biology and Chemistry|July 26, 2005
Exploiting scale-free information from expression data for cancer classificationAlexey V Antonov, Igor V Tetko, Denis Kosykh, et al.
Journal of Chemical Information and Modeling|March 27, 2007
Exhaustive QSPR studies of a large diverse set of ionic liquids: how accurately can we predict melting points?Alexandre Varnek, Natalia Kireeva, Igor V Tetko, et al.
Alternatives to Laboratory Animals : ATLA|April 30, 2014
Prediction of acute aquatic toxicity toward Daphnia magna by using the GA-kNN methodMatteo Cassotti, Davide Ballabio, Viviana Consonni, et al.
Pageof 13

Showing results (61-70 of 126) with videos related to

Sort By:
Pageof 13
Journal of Chemical Information and Modeling|May 24, 2011
A comparison of different QSAR approaches to modeling CYP450 1A2 inhibitionSergii Novotarskyi, Iurii Sushko, Robert Körner, et al.
Journal of Cheminformatics|March 27, 2025
Publishing neural networks in drug discovery might compromise training data privacyFabian P Krüger, Johan Östman, Lewis Mervin, et al.
International Journal of Molecular Sciences|February 15, 2022
More Is Not Always Better: Local Models Provide Accurate Predictions of Spectral Properties of PorphyrinsAleksey I Rusanov, Olga A Dmitrieva, Nugzar Zh Mamardashvili, et al.
Molecular Informatics|July 29, 2016
BIGCHEM: Challenges and Opportunities for Big Data Analysis in ChemistryIgor V Tetko, Ola Engkvist, Uwe Koch, et al.
Chemical Research in Toxicology|August 21, 2023
Introduction to the Special Issue: AI Meets ToxicologyGünter Klambauer, Djork-Arné Clevert, Imran Shah, et al.
Journal of Chemical Information and Modeling|August 11, 2012
ToxAlerts: a Web server of structural alerts for toxic chemicals and compounds with potential adverse reactionsIurii Sushko, Elena Salmina, Vladimir A Potemkin, et al.
Molecular Informatics|December 1, 2018
A Survey of Multi-task Learning Methods in ChemoinformaticsSergey Sosnin, Mariia Vashurina, Michael Withnall, et al.
Computational Biology and Chemistry|July 26, 2005
Exploiting scale-free information from expression data for cancer classificationAlexey V Antonov, Igor V Tetko, Denis Kosykh, et al.
Journal of Chemical Information and Modeling|March 27, 2007
Exhaustive QSPR studies of a large diverse set of ionic liquids: how accurately can we predict melting points?Alexandre Varnek, Natalia Kireeva, Igor V Tetko, et al.
Alternatives to Laboratory Animals : ATLA|April 30, 2014
Prediction of acute aquatic toxicity toward Daphnia magna by using the GA-kNN methodMatteo Cassotti, Davide Ballabio, Viviana Consonni, et al.
Pageof 13