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Igor I Baskin

Showing results (11-20 of 37) with videos related to

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Expert Opinion on Drug Discovery|June 14, 2016
A renaissance of neural networks in drug discoveryIgor I Baskin, David Winkler, Igor V Tetko
Methods in Molecular Biology (Clifton, N.J.)|December 11, 2008
Neural networks in building QSAR modelsIgor I Baskin, Vladimir A Palyulin, Nikolai S Zefirov
Journal of Computer-Aided Molecular Design|July 9, 2017
Predictive cartography of metal binders using generative topographic mappingIgor I Baskin, Vitaly P Solov'ev, Alexander A Bagatur'yants, et al.
Journal of Chemical Information and Modeling|October 13, 2015
Stargate GTM: Bridging Descriptor and Activity SpacesHéléna A Gaspar, Igor I Baskin, Gilles Marcou, et al.
Journal of Medicinal Chemistry|April 18, 2003
CoMFA and homology-based models of the glycine binding site of N-methyl-d-aspartate receptorIrina G Tikhonova, Igor I Baskin, Vladimir A Palyulin, et al.
Journal of Chemical Information and Modeling|November 26, 2014
Chemical data visualization and analysis with incremental generative topographic mapping: big data challengeHéléna A Gaspar, Igor I Baskin, Gilles Marcou, et al.
Journal of Medicinal Chemistry|September 5, 2003
Selectivity fields: comparative molecular field analysis (CoMFA) of the glycine/NMDA and AMPA receptorsIgor I Baskin, Irina G Tikhonova, Vladimir A Palyulin, 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.
Molecular Informatics|April 30, 2020
Parallel Generative Topographic Mapping: An Efficient Approach for Big Data HandlingArkadii Lin, Igor I Baskin, Gilles Marcou, et al.
Molecular Informatics|February 25, 2020
Application of the mol2vec Technology to Large-size Data Visualization and AnalysisShojiro Shibayama, Gilles Marcou, Dragos Horvath, et al.
Pageof 4

Showing results (11-20 of 37) with videos related to

Sort By:
Pageof 4
Expert Opinion on Drug Discovery|June 14, 2016
A renaissance of neural networks in drug discoveryIgor I Baskin, David Winkler, Igor V Tetko
Methods in Molecular Biology (Clifton, N.J.)|December 11, 2008
Neural networks in building QSAR modelsIgor I Baskin, Vladimir A Palyulin, Nikolai S Zefirov
Journal of Computer-Aided Molecular Design|July 9, 2017
Predictive cartography of metal binders using generative topographic mappingIgor I Baskin, Vitaly P Solov'ev, Alexander A Bagatur'yants, et al.
Journal of Chemical Information and Modeling|October 13, 2015
Stargate GTM: Bridging Descriptor and Activity SpacesHéléna A Gaspar, Igor I Baskin, Gilles Marcou, et al.
Journal of Medicinal Chemistry|April 18, 2003
CoMFA and homology-based models of the glycine binding site of N-methyl-d-aspartate receptorIrina G Tikhonova, Igor I Baskin, Vladimir A Palyulin, et al.
Journal of Chemical Information and Modeling|November 26, 2014
Chemical data visualization and analysis with incremental generative topographic mapping: big data challengeHéléna A Gaspar, Igor I Baskin, Gilles Marcou, et al.
Journal of Medicinal Chemistry|September 5, 2003
Selectivity fields: comparative molecular field analysis (CoMFA) of the glycine/NMDA and AMPA receptorsIgor I Baskin, Irina G Tikhonova, Vladimir A Palyulin, 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.
Molecular Informatics|April 30, 2020
Parallel Generative Topographic Mapping: An Efficient Approach for Big Data HandlingArkadii Lin, Igor I Baskin, Gilles Marcou, et al.
Molecular Informatics|February 25, 2020
Application of the mol2vec Technology to Large-size Data Visualization and AnalysisShojiro Shibayama, Gilles Marcou, Dragos Horvath, et al.
Pageof 4