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Vladimir R Rudnev

Showing results (1-10 of 21) with videos related to

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Pharmaceuticals (Basel, Switzerland)|January 21, 2022
Molecular Modeling Insights into Upadacitinib Selectivity upon Binding to JAK Protein FamilyAmir Taldaev, Vladimir R Rudnev, Kirill S Nikolsky, et al.
International Journal of Molecular Sciences|November 13, 2021
Current Approaches in Supersecondary Structures InvestigationVladimir R Rudnev, Liudmila I Kulikova, Kirill S Nikolsky, et al.
Biomolecules|November 25, 2023
Analysis of Structural Changes in the Protein near the Phosphorylation SiteKirill S Nikolsky, Liudmila I Kulikova, Denis V Petrovskiy, et al.
Journal of Personalized Medicine|December 24, 2021
Managing of Unassigned Mass Spectrometric Data by Neural Network for Cancer Phenotypes ClassificationDenis V Petrovsky, Arthur T Kopylov, Vladimir R Rudnev, et al.
International Journal of Molecular Sciences|December 11, 2022
PSSNet-An Accurate Super-Secondary Structure for Protein SegmentationDenis V Petrovsky, Vladimir R Rudnev, Kirill S Nikolsky, et al.
Biology|January 8, 2025
Biobank Digitalization: From Data Acquisition to Efficient UseAnastasiia S Bukreeva, Kristina A Malsagova, Denis V Petrovskiy, et al.
Diagnostics (Basel, Switzerland)|July 2, 2021
Molecular Portrait of an AthleteKristina A Malsagova, Tatyana V Butkova, Arthur T Kopylov, et al.
Scientific Reports|July 1, 2024
PowerNovo: de novo peptide sequencing via tandem mass spectrometry using an ensemble of transformer and BERT modelsDenis V Petrovskiy, Kirill S Nikolsky, Liudmila I Kulikova, et al.
International Journal of Molecular Sciences|September 9, 2023
Modeling Side Chains in the Three-Dimensional Structure of Proteins for Post-Translational ModificationsDenis V Petrovskiy, Kirill S Nikolsky, Vladimir R Rudnev, et al.
International Journal of Molecular Sciences|October 14, 2023
SAFoldNet: A Novel Tool for Discovering and Aligning Three-Dimensional Protein Structures Based on a Neural NetworkDenis V Petrovskiy, Kirill S Nikolsky, Vladimir R Rudnev, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Pharmaceuticals (Basel, Switzerland)|January 21, 2022
Molecular Modeling Insights into Upadacitinib Selectivity upon Binding to JAK Protein FamilyAmir Taldaev, Vladimir R Rudnev, Kirill S Nikolsky, et al.
International Journal of Molecular Sciences|November 13, 2021
Current Approaches in Supersecondary Structures InvestigationVladimir R Rudnev, Liudmila I Kulikova, Kirill S Nikolsky, et al.
Biomolecules|November 25, 2023
Analysis of Structural Changes in the Protein near the Phosphorylation SiteKirill S Nikolsky, Liudmila I Kulikova, Denis V Petrovskiy, et al.
Journal of Personalized Medicine|December 24, 2021
Managing of Unassigned Mass Spectrometric Data by Neural Network for Cancer Phenotypes ClassificationDenis V Petrovsky, Arthur T Kopylov, Vladimir R Rudnev, et al.
International Journal of Molecular Sciences|December 11, 2022
PSSNet-An Accurate Super-Secondary Structure for Protein SegmentationDenis V Petrovsky, Vladimir R Rudnev, Kirill S Nikolsky, et al.
Biology|January 8, 2025
Biobank Digitalization: From Data Acquisition to Efficient UseAnastasiia S Bukreeva, Kristina A Malsagova, Denis V Petrovskiy, et al.
Diagnostics (Basel, Switzerland)|July 2, 2021
Molecular Portrait of an AthleteKristina A Malsagova, Tatyana V Butkova, Arthur T Kopylov, et al.
Scientific Reports|July 1, 2024
PowerNovo: de novo peptide sequencing via tandem mass spectrometry using an ensemble of transformer and BERT modelsDenis V Petrovskiy, Kirill S Nikolsky, Liudmila I Kulikova, et al.
International Journal of Molecular Sciences|September 9, 2023
Modeling Side Chains in the Three-Dimensional Structure of Proteins for Post-Translational ModificationsDenis V Petrovskiy, Kirill S Nikolsky, Vladimir R Rudnev, et al.
International Journal of Molecular Sciences|October 14, 2023
SAFoldNet: A Novel Tool for Discovering and Aligning Three-Dimensional Protein Structures Based on a Neural NetworkDenis V Petrovskiy, Kirill S Nikolsky, Vladimir R Rudnev, et al.
Pageof 3