Insights into structural vaccinology harnessed for universal coronavirus vaccine development

被引:0
|
作者
Lim, Chin Peng [1 ,2 ]
Leow, Chiuan Herng [2 ]
Lim, Hui Ting [2 ]
Kok, Boon Hui [2 ]
Chuah, Candy [3 ]
Oliveira, Jonas Ivan Nobre [4 ]
Jones, Malcolm [5 ]
Leow, Chiuan Yee [1 ]
机构
[1] Univ Sains Malaysia, Sch Pharmaceut Sci, Gelugor 11800, Penang, Malaysia
[2] Univ Sains Malaysia, Inst Res Mol Med, Gelugor, Malaysia
[3] Asian Inst Med Sci & Technol Univ, Fac Med, Bedong, Malaysia
[4] Univ Fed Rio Grande do Norte, Biosci Ctr, Dept Biophys & Pharmacol, Natal, Brazil
[5] Univ Queensland, Sch Vet Sci, Gatton, Australia
关键词
Immunoinformatics; Human coronaviruses; Vaccinology; Molecular structure; Universal coronavirus vaccine; PROTEIN-STRUCTURE PREDICTION; MULTI-EPITOPE VACCINE; SECONDARY STRUCTURE PREDICTION; DOCK WEB SERVER; DE-NOVO; ACCURATE DOCKING; PHYSICAL REALISM; SCORING FUNCTION; SWISS-MODEL; FACTOR-H;
D O I
10.7774/cevr.2024.13.3.202
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Structural vaccinology is pivotal in expediting vaccine design through high-throughput screening of immunogenic antigens. Leveraging the structural and functional characteristics of antigens and immune cell receptors, this approach employs protein structural comparison to identify conserved patterns in key pathogenic components. Molecular modeling techniques, including homology modeling and molecular docking, analyze specific three-dimensional (3D) structures and protein interactions and offer valuable insights into the 3D interactions and binding affinity between vaccine candidates and target proteins. In this review, we delve into the utilization of various immunoinformatics and molecular modeling tools to streamline the development of broad-protective vaccines against coronavirus disease 2019 variants. Structural vaccinology significantly enhances our understanding of molecular interactions between hosts and pathogens. By accelerating the pace of developing effective and targeted vaccines, particularly against the rapidly mutating severe acute respiratory syndrome coronavirus 2 and other prevalent infectious diseases, this approach stands at the forefront of advancing immunization strategies. The combination of computational techniques and structural insights not only facilitates the identification of potential vaccine candidates but also contributes to the rational design of vaccines, fostering a more efficient and targeted approach to combatting infectious diseases.
引用
收藏
页码:202 / 217
页数:16
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