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Dmitry Grebennikov
Dmitry Grebennikov
Marchuk Institute of Numerical Mathemics, Russian Academy of Sciences
在 staff.sechenov.ru 的电子邮件经过验证
标题
引用次数
引用次数
年份
Modeling of the HIV-1 Life Cycle in Productively Infected Cells to Predict Novel Therapeutic Targets
O Shcherbatova, D Grebennikov, I Sazonov, A Meyerhans, G Bocharov
Pathogens 9 (4), 255, 2020
322020
Intracellular Life Cycle Kinetics of SARS-CoV-2 Predicted Using Mathematical Modelling
D Grebennikov, E Kholodareva, I Sazonov, A Karsonova, A Meyerhans, ...
Viruses 13 (9), 1735, 2021
232021
Graph Theory for Modeling and Analysis of the Human Lymphatic System
R Savinkov, D Grebennikov, D Puchkova, V Chereshnev, I Sazonov, ...
Mathematics 8 (12), 2236, 2020
202020
Modelling Stochastic and Deterministic Behaviours in Virus Infection Dynamics
I Sazonov, D Grebennikov, M Kelbert, G Bocharov
Mathematical Modelling of Natural Phenomena 12 (5), 63-77, 2017
182017
Predicting the Kinetic Coordination of Immune Response Dynamics in SARS-CoV-2 Infection: Implications for Disease Pathogenesis
D Grebennikov, A Karsonova, M Loguinova, V Casella, A Meyerhans, ...
Mathematics 10 (17), 3154, 2022
172022
Maximum response perturbation-based control of virus infection model with time-delays
GA Bocharov, YM Nechepurenko, MY Khristichenko, DS Grebennikov
Russ. J. Numer. Anal. Math. Modelling 32 (5), 275-291, 2017
172017
Bistability analysis of virus infection models with time delays.
Y Nechepurenko, M Khristichenko, D Grebennikov, G Bocharov
Discrete & Continuous Dynamical Systems-Series S 13 (9), 2020
152020
Critical issues in modelling lymph node physiology
D Grebennikov, R Van Loon, M Novkovic, L Onder, R Savinkov, I Sazonov, ...
Computation 5 (1), 3, 2016
152016
Markov Chain-Based Stochastic Modelling of HIV-1 Life Cycle in a CD4 T Cell
I Sazonov, D Grebennikov, A Meyerhans, G Bocharov
Mathematics 9 (17), 2025, 2021
142021
Examining the cooperativity mode of antibody and CD8+ T cell immune responses for vaccinology
G Bocharov, D Grebennikov, J Argilaguet, A Meyerhans
Trends in immunology 42 (10), 852-855, 2021
112021
Mathematical Modeling of Lymph Node Drainage Function by Neural Network
R Tretiakova, A Setukha, R Savinkov, D Grebennikov, G Bocharov
Mathematics 9 (23), 3093, 2021
102021
Viral Infection Dynamics Model Based on a Markov Process with Time Delay between Cell Infection and Progeny Production
I Sazonov, D Grebennikov, M Kelbert, A Meyerhans, G Bocharov
Mathematics 8 (8), 1207, 2020
102020
Spatial Lymphocyte Dynamics in Lymph Nodes Predicts the Cytotoxic T Cell Frequency Needed for HIV Infection Control
D Grebennikov, A Bouchnita, V Volpert, N Bessonov, A Meyerhans, ...
Frontiers in Immunology 10, 1213, 2019
102019
Optimal Perturbations of Systems with Delayed Independent Variables for Control of Dynamics of Infectious Diseases Based on Multicomponent Actions
GA Bocharov, YM Nechepurenko, MY Khristichenko, DS Grebennikov
Journal of Mathematical Sciences 253 (5), 618-641, 2021
92021
Numbers game and immune geography as determinants of coronavirus pathogenicity
G Bocharov, V Casella, J Argilaguet, D Grebennikov, R Güerri-Fernandez, ...
Frontiers in cellular and infection microbiology 10, 559209, 2020
92020
Mathematical immunology: from phenomenological to multiphysics modelling
GA Bocharov, DS Grebennikov, RS Savinkov
Russian Journal of Numerical Analysis and Mathematical Modelling 35 (4), 203-213, 2020
92020
Optimal Disturbances of Bistable Time-Delay Systems Modeling Virus Infections
GA Bocharov, YM Nechepurenko, MY Khristichenko, DS Grebennikov
Doklady Mathematics 98 (1), 313-316, 2018
82018
Sensitivity of SARS-CoV-2 Life Cycle to IFN Effects and ACE2 Binding Unveiled with a Stochastic Model
I Sazonov, D Grebennikov, A Meyerhans, G Bocharov
Viruses 14 (2), 403, 2022
62022
Functional cure of a chronic virus infection by shifting the virus-host equilibrium state
G Bocharov, D Grebennikov, P Cebollada Rica, E Domenjo-Vila, ...
Frontiers in Immunology 13, 904342, 2022
52022
Spatially resolved modelling of immune responses following a multiscale approach: from computational implementation to quantitative predictions
DS Grebennikov, GA Bocharov
Russian Journal of Numerical Analysis and Mathematical Modelling 34 (5), 253-260, 2019
42019
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