# Molecular modelling on multiepitope-based vaccine against SARS-CoV-2 using immunoinformatics, molecular docking, and molecular dynamics simulation
> Arwansyah A.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85138139931
Jurnal / Konferensi: SAR and QSAR in Environmental Research
Tahun terbit: 2022
DOI: https://doi.org/10.1080/1062936X.2022.2117846
ISSN: 1062936X
Kuartil SJR: Q3
Citations: 10

## Authors
- Arwansyah A.

## Abstract
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.

## Keywords
- Virology
- Computational biology
- Virus
- Docking (animal)
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Biology
- Molecular dynamics
- Coronavirus disease 2019 (COVID-19)
- Medicine
- Chemistry
- Infectious disease (medical specialty)
- Disease
- Computational chemistry
- Nursing
- Pathology

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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