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Epidemic are occurring with increasing frequency across the world. Traditional vaccines development methods were time consuming with some incidence of allergic reactions, occurrence of resistant strains and many other inadequacies. COVID-19 was one such transmissible disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To fight this pandemic, which has cause a massive death toll around the globe, researchers are putting efforts into developing an effective vaccine against the pathogen. As genome sequencing projects for several coronavirus strains have been completed, a comprehensive study of the functions of the proteins and their 3D structures has gained increasing awareness. These data are a valuable asset to quicken the emerging field of immuno-informatics, which is aimed toward the identification of potential antigenic epitopes in viral proteins that can be targeted for the development of a vaccine design to evoke a high immune response. Bioinformatics platforms and various computational tools and databases are used for the identification of promising vaccine targets making the best use of resources for further experimental validation. This study is an effort to compare structural similarities and differences among different coronavirus strains and designing a multi epitopes based vaccine.
Keywords:
Epitopes, Bioinformatics, spike protein, COVID variants, multi epitope vaccine design.
Cite Article:
"A Bioinformatics approach to vaccine development ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 11, page no.113 - 126, November-2023, Available :http://www.ijrti.org/papers/IJRTI2311016.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator