Mintaev R R, Glazkova D V, Bogoslovskaya E V, Shipulin G A
Federal State Budgetary Institution «Center for Strategic Planning and Management of Medical and Biological Health Risks», 119833, Federal Medical-Biological Agency, Moscow, Russia.
I.Mechnikov Research Institute of Vaccines and Sera, 105064, Moscow, Russia.
Heliyon. 2022 Apr 30;8(5):e09364. doi: 10.1016/j.heliyon.2022.e09364. eCollection 2022 May.
Influenza virus is one of the most rapidly evolving human pathogens and causes significant morbidity and mortality worldwide. This feature enables the virus to avoid natural or vaccine-induced immunity. For this reason, there is an intensive search for new approaches to create a universal influenza vaccine. Here, we propose pipelines based on modern prediction algorithms that allowed us to select 10 B-cell epitopes, 10 CD8+ T-cell epitopes and 6 CD4+ T-cell epitopes from influenza viruses that were characterized by high conservation and antigenicity. These epitopes could be used to create universal vaccines against influenza viruses. In addition, the scripts used in these pipelines are universal and can be used to select epitopes from other pathogens.
流感病毒是进化速度最快的人类病原体之一，在全球范围内导致大量发病和死亡。这一特性使该病毒能够逃避天然免疫或疫苗诱导的免疫。因此，人们正在积极寻找开发通用流感疫苗的新方法。在此，我们提出基于现代预测算法的流程，该流程使我们能够从流感病毒中筛选出10个B细胞表位、10个CD8 + T细胞表位和6个CD4 + T细胞表位，这些表位具有高度保守性和抗原性。这些表位可用于制备针对流感病毒的通用疫苗。此外，这些流程中使用的脚本具有通用性，可用于从其他病原体中筛选表位。
