Integrating immunoinformatics and computational epitope prediction for a vaccine candidate against respiratory syncytial virus  

作　　者：Truc Ly Nguyen Heebal Kim 

机构地区：[1]Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences,Seoul National University,Seoul,08826,Republic of Korea [2]Interdisciplinary Program in Bioinformatics,Seoul National University,Seoul,08826,Republic of Korea [3]eGnome,Inc.,Seoul,05836,Republic of Korea

出　　处：《Infectious Disease Modelling》2024年第3期763-774,共12页传染病建模（英文）

基　　金：The authors are thankful to the Research Institute of Agriculture and Life Sciences,Seoul National University,and the BK21 FOUR Program of the Department of Agricultural Biotechnology,Seoul National University,Seoul,Republic of Korea,for supporting the research work;This research was supported by a fund(Project Code No.Z-1543082-2019-20-01)by Research of Animal and Plant Quarantine Agency,Republic of Korea.

摘　　要：Respiratory syncytial virus(RSV)poses a significant global health threat,especially affecting infants and the elderly.Addressing this,the present study proposes an innovative approach to vaccine design,utilizing immunoinformatics and computational strategies.We analyzed RSV's structural proteins across both subtypes A and B,identifying potential helper T lymphocyte,cytotoxic T lymphocyte,and linear B lymphocyte epitopes.Criteria such as antigenicity,allergenicity,toxicity,and cytokine-inducing potential were rigorously examined.Additionally,we evaluated the conservancy of these epitopes and their population coverage across various RSV strains.The comprehensive analysis identified six major histocompatibility complex class I(MHC-I)binding,five MHC-II binding,and three B-cell epitopes.These were integrated with suitable linkers and adjuvants to form the vaccine.Further,molecular docking and molecular dynamics simulations demonstrated stable interactions between the vaccine candidate and human Toll-like receptors(TLR4 and TLR5),with a notable preference for TLR4.Immune simulation analysis underscored the vaccine's potential to elicit a strong immune response.This study presents a promising RSV vaccine candidate and offers theoretical support,marking a significant advancement in vaccine development efforts.However,the promising in silico findings need to be further validated through additional in vivo studies.

关 键 词：Respiratory syncytial virus Multiepitope vaccine IMMUNOINFORMATICS Docking molecular Molecular dynamics simulation Immune simulation 

分 类 号：R186[医药卫生—流行病学]