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Biomeditsinskaia Khimiia
|
December 27, 2022
[The prediction of SARS-CoV-2 main protease inhibition with filtering by position of ligand]
Ya O Ivanova, A I Voronina, V S Skvortsov
Biomeditsinskaia Khimiia
|
December 29, 2020
[Prediction of inhibition of influenza virus neuraminidase of various strains by using a generalized model constructed using the data on the position of known ligands]
A V Mikurova, A V Rybina, V S Skvortsov
Biomeditsinskaia Khimiia
|
December 29, 2021
[The bioinformatic identification of proteins with varying levels of post-translational modifications in experimental ischemic stroke in mice]
V S Skvortsov, Ya O Ivanova, A I Voronina
Biomeditsinskaia Khimiia
|
September 2, 2017
[Use of de novo sequencing for proteins identification]
V S Skvortsov, A V Mikurova, A V Rybina
Biomeditsinskaia Khimiia
|
August 8, 2017
[Correction of the electrophoretic shift in virtual 2D SDS-PAGE electrophoresis]
V S Skvortsov, N N Alekseychuk, A V Rybina
Voprosy Meditsinskoi Khimii
|
March 10, 2001
[Computer modeling of the three-dimensional structure of full-length cytochrome B5]
A S Ivanov, V S Skvortsov, A I Archakov
Biomeditsinskaia Khimiia
|
September 4, 2025
Bioinformatic identification of proteins with varying levels of post-translational modifications in a model of atherogenesis in mice
Yu V Miroshnichenko, A V Rybina, V S Skvortsov
Biomeditsinskaia Khimiia
|
November 14, 2022
[Acetylation, methylation, and ubiquitination of proteins in experimental ischemic stroke in mice: a bioinformatics analysis]
V S Skvortsov, Y O Ivanova, A I Voronina
Biochemistry (Moscow) Supplement. Series B, Biomedical Chemistry
|
May 19, 2021
Prediction of the Inhibition of Influenza Virus Neuraminidase Various Strains by Means of a Generalized Model Constructed Using the Data on the Position of Known Ligands
A V Mikurova, A V Rybina, V S Skvortsov
Voprosy Meditsinskoi Khimii
|
February 24, 2001
[Prediction of binding affinities of protein-ligand complexes using nonlinear models]
V V Krepets, N V Belkina, V S Skvortsov, et al.
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Search research articles
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Showing results (11-20 of 38) with videos related to
Sort By:
Page
of 4
Biomeditsinskaia Khimiia
|
December 27, 2022
[The prediction of SARS-CoV-2 main protease inhibition with filtering by position of ligand]
Ya O Ivanova, A I Voronina, V S Skvortsov
Biomeditsinskaia Khimiia
|
December 29, 2020
[Prediction of inhibition of influenza virus neuraminidase of various strains by using a generalized model constructed using the data on the position of known ligands]
A V Mikurova, A V Rybina, V S Skvortsov
Biomeditsinskaia Khimiia
|
December 29, 2021
[The bioinformatic identification of proteins with varying levels of post-translational modifications in experimental ischemic stroke in mice]
V S Skvortsov, Ya O Ivanova, A I Voronina
Biomeditsinskaia Khimiia
|
September 2, 2017
[Use of de novo sequencing for proteins identification]
V S Skvortsov, A V Mikurova, A V Rybina
Biomeditsinskaia Khimiia
|
August 8, 2017
[Correction of the electrophoretic shift in virtual 2D SDS-PAGE electrophoresis]
V S Skvortsov, N N Alekseychuk, A V Rybina
Voprosy Meditsinskoi Khimii
|
March 10, 2001
[Computer modeling of the three-dimensional structure of full-length cytochrome B5]
A S Ivanov, V S Skvortsov, A I Archakov
Biomeditsinskaia Khimiia
|
September 4, 2025
Bioinformatic identification of proteins with varying levels of post-translational modifications in a model of atherogenesis in mice
Yu V Miroshnichenko, A V Rybina, V S Skvortsov
Biomeditsinskaia Khimiia
|
November 14, 2022
[Acetylation, methylation, and ubiquitination of proteins in experimental ischemic stroke in mice: a bioinformatics analysis]
V S Skvortsov, Y O Ivanova, A I Voronina
Biochemistry (Moscow) Supplement. Series B, Biomedical Chemistry
|
May 19, 2021
Prediction of the Inhibition of Influenza Virus Neuraminidase Various Strains by Means of a Generalized Model Constructed Using the Data on the Position of Known Ligands
A V Mikurova, A V Rybina, V S Skvortsov
Voprosy Meditsinskoi Khimii
|
February 24, 2001
[Prediction of binding affinities of protein-ligand complexes using nonlinear models]
V V Krepets, N V Belkina, V S Skvortsov, et al.
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of 4