Epitope based peptide vaccine against SARS-COV2: an immune-informatics approach
Autor: | Richa Bhatnager, Jyoti Arora, Amita S. Dang, Maheshwar Bhasin |
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Rok vydání: | 2020 |
Předmět: |
2019-20 coronavirus outbreak
COVID-19 Vaccines Informatics Coronavirus disease 2019 (COVID-19) 030303 biophysics Epitopes T-Lymphocyte Biology Epitope 03 medical and health sciences Immune system Structural Biology Pandemic Humans Molecular Biology 0303 health sciences SARS-CoV-2 COVID-19 General Medicine Virology Molecular Docking Simulation Epitope mapping Spike Glycoprotein Coronavirus Vaccines Subunit Peptide vaccine Epitopes B-Lymphocyte RNA Viral |
Zdroj: | Journal of Biomolecular Structure and Dynamics |
ISSN: | 1538-0254 0739-1102 |
DOI: | 10.1080/07391102.2020.1787227 |
Popis: | World is witnessing exponential growth of SARS-CoV2 and fatal outcomes of COVID 19 has proved its pandemic potential already by claiming more than 3 lakhs deaths globally. If not controlled, this ongoing pandemic can cause irreparable socio-economic and psychological impact worldwide. Therefore a safe and effective vaccine against COVID 19 is exigent. Recent advances in immunoinformatics approaches could potentially decline the attrition rate and accelerate the process of vaccine development in these unprecedented times. In the present study, a multivalent subunit vaccine targeting S2 subunit of the SARS-CoV2 S glycoprotein has been designed using open source, immunoinformatics tools. Designed construct comprises of epitopes capable of inducing T cell, B cell (Linear and discontinuous) and Interferon γ. physiologically, vaccine construct is predicted to be thermostable, antigenic, immunogenic, non allergen and non toxic in nature. According to population coverage analysis, designed multiepitope vaccine covers 99.26% population globally. 3D structure of vaccine construct was designed, validated and refined to obtain high quality structure. Refined structure was docked against Toll like receptors to confirm the interactions between them. Vaccine peptide sequence was reverse transcribed, codon optimized and cloned in pET vector. Our |
Databáze: | OpenAIRE |
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