A. Arwansyah, A.R. Arif, A. Kade, M. Taiyeb, I. Ramli, T. Santoso, P. Ningsih, H. Natsir, T. Tahril, K. Uday Kumar
The pandemic of COVID-19 caused by SARS-CoV-2 has made a worldwide health emergency. Despite the fact that current vaccines are readily available, several SARSCoV-2 variants affecting the existing vaccine are to be less effective due to the mutations in the structural proteins. Furthermore, the appearance of the new variants cannot be easily predicted in the future. Therefore, the attempts to construct new vaccines or to modify the current vaccines are still pivotal works for preventing the spread of the virus. In the present investigation, the computational analysis through immunoinformatics, molecular docking, and molecular dynamics (MD) simulation is employed to construct an effective vaccine against SARS-CoV2. The structural proteins of SARS-CoV2 are utilized to create a multiepitope-based vaccine (MEV). According to our findings presented by systematic procedures in the current investigation, the MEV construct may be able to trigger a strong immunological response against the virus. Therefore, the designed MEV could be a potential vaccine candidate against SARS-CoV-2, and also it is expected to be effective for other variants. © 2022 Informa UK Limited, trading as Taylor & Francis Group.
Department of Chemistry Education, Faculty of Teacher Training and Education, Tadulako University, Palu, Indonesia; Department of Chemistry, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Makassar, Indonesia; Department of Physics Education, Faculty of Teacher Training and Education, Tadulako University, Palu, Indonesia; Department of Biology, Faculty of Mathematics and Natural Sciences, Makassar State University, Makassar, Indonesia; Department of Physics, Faculty of Science, Universitas Cokroaminoto Palopo, Palopo, Indonesia; Department of Radiology, Toxicology and Population Protection, Faculty of Health and Social Studies, University of South Bohemia Cesk´e Budˇejovice, Czech Republic
