Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Igor Sazonov"'
Autor:
Macauley Locke, Dmitry Grebennikov, Igor Sazonov, Martín López-García, Marina Loguinova, Andreas Meyerhans, Gennady Bocharov, Carmen Molina-París
Publikováno v:
Mathematics, Vol 12, Iss 12, p 1904 (2024)
SARS-CoV-2 still presents a global threat to human health due to the continued emergence of new strains and waning immunity among vaccinated populations. Therefore, it is still relevant to investigate potential therapeutics, such as therapeutic inter
Externí odkaz:
https://doaj.org/article/e580730213d44c279e42581e2f64c47c
Autor:
Igor Sazonov, Dmitry Grebennikov, Rostislav Savinkov, Arina Soboleva, Kirill Pavlishin, Andreas Meyerhans, Gennady Bocharov
Publikováno v:
Viruses, Vol 15, Iss 2, p 296 (2023)
A mathematical model of the human immunodeficiency virus Type 1 (HIV-1) life cycle in CD4 T cells was constructed and calibrated. It describes the activation of the intracellular Type I interferon (IFN-I) response and the IFN-induced suppression of v
Externí odkaz:
https://doaj.org/article/63a52a2e85154d71a3635d72740f62ea
Publikováno v:
Viruses, Vol 14, Iss 2, p 403 (2022)
Mathematical modelling of infection processes in cells is of fundamental interest. It helps to understand the SARS-CoV-2 dynamics in detail and can be useful to define the vulnerability steps targeted by antiviral treatments. We previously developed
Externí odkaz:
https://doaj.org/article/f27005e441494372a893a97ca1c5b0e6
Publikováno v:
Mathematics, Vol 9, Iss 17, p 2025 (2021)
Replication of Human Immunodeficiency Virus type 1 (HIV) in infected CD4+ T cells represents a key driver of HIV infection. The HIV life cycle is characterised by the heterogeneity of infected cells with respect to multiplicity of infection and the v
Externí odkaz:
https://doaj.org/article/cc01bd8ecb534f69a9224c2f4e6399c1
Autor:
Dmitry Grebennikov, Ekaterina Kholodareva, Igor Sazonov, Antonina Karsonova, Andreas Meyerhans, Gennady Bocharov
Publikováno v:
Viruses, Vol 13, Iss 9, p 1735 (2021)
SARS-CoV-2 infection represents a global threat to human health. Various approaches were employed to reveal the pathogenetic mechanisms of COVID-19. Mathematical and computational modelling is a powerful tool to describe and analyze the infection dyn
Externí odkaz:
https://doaj.org/article/c4974f391f3a41ec97dad98019809c1f
Autor:
Rostislav Savinkov, Dmitry Grebennikov, Darya Puchkova, Valery Chereshnev, Igor Sazonov, Gennady Bocharov
Publikováno v:
Mathematics, Vol 8, Iss 12, p 2236 (2020)
The human lymphatic system (HLS) is a complex network of lymphatic organs linked through the lymphatic vessels. We present a graph theory-based approach to model and analyze the human lymphatic network. Two different methods of building a graph are c
Externí odkaz:
https://doaj.org/article/8ae07a5f51c445c7801be9c821ee1d20
Publikováno v:
Mathematics, Vol 8, Iss 8, p 1207 (2020)
Many human virus infections including those with the human immunodeficiency virus type 1 (HIV) are initiated by low numbers of founder viruses. Therefore, random effects have a strong influence on the initial infection dynamics, e.g., extinction vers
Externí odkaz:
https://doaj.org/article/b620e1022d484c9fb780c88f3b1def81
Modeling of the HIV-1 Life Cycle in Productively Infected Cells to Predict Novel Therapeutic Targets
Publikováno v:
Pathogens, Vol 9, Iss 4, p 255 (2020)
There are many studies that model the within-host population dynamics of Human Immunodeficiency Virus Type 1 (HIV-1) infection. However, the within-infected-cell replication of HIV-1 remains to be not comprehensively addressed. There exist rather few
Externí odkaz:
https://doaj.org/article/7059d2d12a1949fb82f0d09b5066efc4
Autor:
Dmitry Grebennikov, Raoul van Loon, Mario Novkovic, Lucas Onder, Rostislav Savinkov, Igor Sazonov, Rufina Tretyakova, Daniel J. Watson, Gennady Bocharov
Publikováno v:
Computation, Vol 5, Iss 1, p 3 (2016)
In this study, we discuss critical issues in modelling the structure and function of lymph nodes (LNs), with emphasis on how LN physiology is related to its multi-scale structural organization. In addition to macroscopic domains such as B-cell follic
Externí odkaz:
https://doaj.org/article/47cc6605608c4c75bf841c206da8d4a4
Autor:
Hamid Reza Tamaddon Jahromi, Igor Sazonov, Jason Jones, Alberto Coccarelli, Samuel Rolland, Neeraj Kavan Chakshu, Hywel Thomas, Perumal Nithiarasu
Publikováno v:
International Journal of Numerical Methods for Heat & Fluid Flow. 32:2964-2981
Purpose The purpose of this paper is to devise a tool based on computational fluid dynamics (CFD) and machine learning (ML), for the assessment of potential airborne microbial transmission in enclosed spaces. A gated recurrent units neural network (G