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Sergey Sosnin

Showing results (1-10 of 22) with videos related to

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Journal of Cheminformatics|August 11, 2024
MolCompass: multi-tool for the navigation in chemical space and visual validation of QSAR/QSPR modelsSergey Sosnin
Drug Discovery Today|June 2, 2025
Chemical space visual navigation in the era of deep learning and Big DataSergey Sosnin
ACS Omega|November 22, 2021
Exploring Chemical Reaction Space with Reaction Difference Fingerprints and Parametric t-SNEMikhail Andronov, Maxim V Fedorov, Sergey Sosnin
Journal of Computer-Aided Molecular Design|March 21, 2023
Improvement of multi-task learning by data enrichment: application for drug discoveryEkaterina A Sosnina, Sergey Sosnin, Maxim V Fedorov
Scientific Reports|July 21, 2021
Transformer-based artificial neural networks for the conversion between chemical notationsLev Krasnov, Ivan Khokhlov, Maxim V Fedorov, et al.
Molecular Informatics|January 30, 2024
The macrocycle inhibitor landscape of SLC-transporterNejra Granulo, Sergey Sosnin, Daniela Digles, et al.
Chemical Research in Toxicology|July 13, 2023
Identifying Differences in the Performance of Machine Learning Models for Off-Targets Trained on Publicly Available and Proprietary Data SetsAljoša Smajić, Iris Rami, Sergey Sosnin, et al.
ACS Omega|March 24, 2020
graphDelta: MPNN Scoring Function for the Affinity Prediction of Protein-Ligand ComplexesDmitry S Karlov, Sergey Sosnin, Maxim V Fedorov, et al.
Journal of Chemical Information and Modeling|December 28, 2018
Comparative Study of Multitask Toxicity Modeling on a Broad Chemical SpaceSergey Sosnin, Dmitry Karlov, Igor V Tetko, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|July 3, 2018
3D matters! 3D-RISM and 3D convolutional neural network for accurate bioaccumulation predictionSergey Sosnin, Maksim Misin, David S Palmer, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Journal of Cheminformatics|August 11, 2024
MolCompass: multi-tool for the navigation in chemical space and visual validation of QSAR/QSPR modelsSergey Sosnin
Drug Discovery Today|June 2, 2025
Chemical space visual navigation in the era of deep learning and Big DataSergey Sosnin
ACS Omega|November 22, 2021
Exploring Chemical Reaction Space with Reaction Difference Fingerprints and Parametric t-SNEMikhail Andronov, Maxim V Fedorov, Sergey Sosnin
Journal of Computer-Aided Molecular Design|March 21, 2023
Improvement of multi-task learning by data enrichment: application for drug discoveryEkaterina A Sosnina, Sergey Sosnin, Maxim V Fedorov
Scientific Reports|July 21, 2021
Transformer-based artificial neural networks for the conversion between chemical notationsLev Krasnov, Ivan Khokhlov, Maxim V Fedorov, et al.
Molecular Informatics|January 30, 2024
The macrocycle inhibitor landscape of SLC-transporterNejra Granulo, Sergey Sosnin, Daniela Digles, et al.
Chemical Research in Toxicology|July 13, 2023
Identifying Differences in the Performance of Machine Learning Models for Off-Targets Trained on Publicly Available and Proprietary Data SetsAljoša Smajić, Iris Rami, Sergey Sosnin, et al.
ACS Omega|March 24, 2020
graphDelta: MPNN Scoring Function for the Affinity Prediction of Protein-Ligand ComplexesDmitry S Karlov, Sergey Sosnin, Maxim V Fedorov, et al.
Journal of Chemical Information and Modeling|December 28, 2018
Comparative Study of Multitask Toxicity Modeling on a Broad Chemical SpaceSergey Sosnin, Dmitry Karlov, Igor V Tetko, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|July 3, 2018
3D matters! 3D-RISM and 3D convolutional neural network for accurate bioaccumulation predictionSergey Sosnin, Maksim Misin, David S Palmer, et al.
Pageof 3