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Sergey Sosnin

Showing results (11-20 of 22) with videos related to

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RSC Advances|May 6, 2022
Chemical space exploration guided by deep neural networksDmitry S Karlov, Sergey Sosnin, Igor V Tetko, et al.
Scientific Data|July 15, 2025
BigSolDB 2.0, dataset of solubility values for organic compounds in different solvents at various temperaturesLev Krasnov, Dmitry Malikov, Marina Kiseleva, et al.
Molecular Informatics|December 1, 2018
A Survey of Multi-task Learning Methods in ChemoinformaticsSergey Sosnin, Mariia Vashurina, Michael Withnall, et al.
Analytical and Bioanalytical Chemistry|August 30, 2020
Machine learning to predict retention time of small molecules in nano-HPLCSergey Osipenko, Inga Bashkirova, Sergey Sosnin, et al.
Journal of Chemical Information and Modeling|April 25, 2018
Influence of Descriptor Implementation on Compound Ranking Based on Multiparameter AssessmentEkaterina A Sosnina, Dmitry I Osolodkin, Eugene V Radchenko, et al.
ACS Omega|July 8, 2020
Recommender Systems in Antiviral Drug DiscoveryEkaterina A Sosnina, Sergey Sosnin, Anastasia A Nikitina, et al.
ACS Omega|March 30, 2022
PyFragMS-A Web Tool for the Investigation of the Collision-Induced Fragmentation PathwaysYury Kostyukevich, Sergey Sosnin, Sergey Osipenko, et al.
Analytical Chemistry|September 7, 2019
Hydrogen/Deuterium Exchange Aiding Compound Identification for LC-MS and MALDI Imaging LipidomicsYury Kostyukevich, Gleb Vladimirov, Elena Stekolschikova, et al.
RSC Advances|April 24, 2024
ProteoMutaMetrics: machine learning approaches for solute carrier family 6 mutation pathogenicity predictionJiahui Huang, Tanja Osthushenrich, Aidan MacNamara, et al.
Environmental Health Perspectives|October 14, 2021
Erratum: CATMoS: Collaborative Acute Toxicity Modeling SuiteKamel Mansouri, Agnes L Karmaus, Jeremy Fitzpatrick, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
RSC Advances|May 6, 2022
Chemical space exploration guided by deep neural networksDmitry S Karlov, Sergey Sosnin, Igor V Tetko, et al.
Scientific Data|July 15, 2025
BigSolDB 2.0, dataset of solubility values for organic compounds in different solvents at various temperaturesLev Krasnov, Dmitry Malikov, Marina Kiseleva, et al.
Molecular Informatics|December 1, 2018
A Survey of Multi-task Learning Methods in ChemoinformaticsSergey Sosnin, Mariia Vashurina, Michael Withnall, et al.
Analytical and Bioanalytical Chemistry|August 30, 2020
Machine learning to predict retention time of small molecules in nano-HPLCSergey Osipenko, Inga Bashkirova, Sergey Sosnin, et al.
Journal of Chemical Information and Modeling|April 25, 2018
Influence of Descriptor Implementation on Compound Ranking Based on Multiparameter AssessmentEkaterina A Sosnina, Dmitry I Osolodkin, Eugene V Radchenko, et al.
ACS Omega|July 8, 2020
Recommender Systems in Antiviral Drug DiscoveryEkaterina A Sosnina, Sergey Sosnin, Anastasia A Nikitina, et al.
ACS Omega|March 30, 2022
PyFragMS-A Web Tool for the Investigation of the Collision-Induced Fragmentation PathwaysYury Kostyukevich, Sergey Sosnin, Sergey Osipenko, et al.
Analytical Chemistry|September 7, 2019
Hydrogen/Deuterium Exchange Aiding Compound Identification for LC-MS and MALDI Imaging LipidomicsYury Kostyukevich, Gleb Vladimirov, Elena Stekolschikova, et al.
RSC Advances|April 24, 2024
ProteoMutaMetrics: machine learning approaches for solute carrier family 6 mutation pathogenicity predictionJiahui Huang, Tanja Osthushenrich, Aidan MacNamara, et al.
Environmental Health Perspectives|October 14, 2021
Erratum: CATMoS: Collaborative Acute Toxicity Modeling SuiteKamel Mansouri, Agnes L Karmaus, Jeremy Fitzpatrick, et al.
Pageof 3