Author/Authors :
Timofeeva, T.A Federal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Russia , Asatryan, M.N Federal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Russia , Altstein, A.D Federal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Russia , Narodisky, B.S Federal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Russia , Gintsburg, A.L Federal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Russia , Kaverin, N.V Federal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Russia
Abstract :
The influenza A virus remains one of the most common and dangerous human health concerns due to its rapid evolutionary dynamics. Since the evolutionary changes of influenza A viruses can be traced in real time, the last decade has seen a surge in research on influenza A viruses due to an increase in experimental data (se-lection of escape mutants followed by examination of their phenotypic characteristics and generation of viruses with desired mutations using reverse genetics). Moreover, the advances in our understanding are also attributa-ble to the development of new computational methods based on a phylogenetic analysis of influenza virus strains and mathematical (integro-differential equations, statistical methods, probability-theory-based methods) and simulation modeling. Continuously evolving highly pathogenic influenza A viruses are a serious health concern which necessitates a coupling of theoretical and experimental approaches to predict the evolutionary trends of the influenza A virus, with a focus on the H5 subtype.
Keywords :
reverse genetics , phenotypic characteristics , Influenza A virus , computational modeling , computational tools , escape mutants , phylogenetic trees