Department of Biology, Universitas Diponegoro, Indonesia
BibTex Citation Data :
@article{JBTR13113, author = {Mauritz Wattimena and Wijanarka Wijanarka}, title = {In Silico Analysis Prediction of B-Cell Epitope as a Vaccine Candidate for SARS-CoV-2 B.1.617.2 (Delta) Variant}, journal = {Journal of Biomedicine and Translational Research}, volume = {8}, number = {1}, year = {2022}, keywords = {SARS-CoV-2 B.1.617.2 (Delta) variant; B-cell epitope; vaccine; in silico; immunoinformatics.}, abstract = { Background : The COVID-19 pandemic by SARS-CoV-2 has caused many losses. One way to prevent the spread of this virus is to get vaccinated. However, the latest SARS-CoV-2 variants, including variant B.1.617.2 (Delta) are doubtful to be inhibited by existing vaccines because of mutations. Therefore, we need a new vaccine candidate that is effective against this SARS-CoV-2 variant. Through an immunoinformatics approach with various software and analysis websites, vaccine candidates can be predicted in a short time. Objective : Identity, analyze, obtain, and confirm the selected B-cell epitope sequence that can be used as a vaccine candidate for the SARS-CoV-2 B.1.617.2 (Delta) variant. Methods : This research was conducted by isolating the amino acid peptide sequence in the SARS-CoV-2 B.1.617.2 (Delta) variant protein spike from the Protein Data Bank which is suspected to be an immunogenic epitope and can be used as a vaccine candidate. A Series of tests were carried out such as antigenicity, toxicity, allergenicity, and BLAST® protein to ensure that this vaccine candidate is safe for later application into the human body. The next stage is a conservation analysis to see its potential by comparing it with the SARS-CoV-2 Delta (B.1.617.2) variant spike protein sequence in Indonesia. The study ended by mapping amino acid peptides to the SARS-CoV-2 Delta (B.1.617.2) variant spike protein using the Biovia Discovery Studio Visualizer v21.1.0.20298 2020 software to ensure that the selected sequences were epitope. Results : From the five amino acid peptides that have been isolated, the FTNVYADSFVIRGDEVRQIAPGQTGKIADYNYKLPDDFT epitope sequence has good results than the others. It is probable an antigen, non-toxic, non-allergen, and non-homolog to the human body protein. Conclusion : Based on this in silico study, it was found that the FTNVYADSFVIRGDEVRQIAPGQTGKIADYNYKLPDDFT epitope sequence was the best to be used as a vaccine candidate of SARS-CoV-2 B.1.617.2 (Delta) variant. Keywords: SARS-CoV-2 B.1.617.2 (Delta) variant, B-cell epitope, vaccine, in silico, immunoinformatics. }, issn = {2503-2178}, pages = {7--15} doi = {10.14710/jbtr.v1i1.13113}, url = {https://ejournal2.undip.ac.id/index.php/jbtr/article/view/13113} }
Refworks Citation Data :
Background: The COVID-19 pandemic by SARS-CoV-2 has caused many losses. One way to prevent the spread of this virus is to get vaccinated. However, the latest SARS-CoV-2 variants, including variant B.1.617.2 (Delta) are doubtful to be inhibited by existing vaccines because of mutations. Therefore, we need a new vaccine candidate that is effective against this SARS-CoV-2 variant. Through an immunoinformatics approach with various software and analysis websites, vaccine candidates can be predicted in a short time.
Objective: Identity, analyze, obtain, and confirm the selected B-cell epitope sequence that can be used as a vaccine candidate for the SARS-CoV-2 B.1.617.2 (Delta) variant.
Methods: This research was conducted by isolating the amino acid peptide sequence in the SARS-CoV-2 B.1.617.2 (Delta) variant protein spike from the Protein Data Bank which is suspected to be an immunogenic epitope and can be used as a vaccine candidate. A Series of tests were carried out such as antigenicity, toxicity, allergenicity, and BLAST® protein to ensure that this vaccine candidate is safe for later application into the human body. The next stage is a conservation analysis to see its potential by comparing it with the SARS-CoV-2 Delta (B.1.617.2) variant spike protein sequence in Indonesia. The study ended by mapping amino acid peptides to the SARS-CoV-2 Delta (B.1.617.2) variant spike protein using the Biovia Discovery Studio Visualizer v21.1.0.20298 2020 software to ensure that the selected sequences were epitope.
Results: From the five amino acid peptides that have been isolated, the FTNVYADSFVIRGDEVRQIAPGQTGKIADYNYKLPDDFT epitope sequence has good results than the others. It is probable an antigen, non-toxic, non-allergen, and non-homolog to the human body protein.
Conclusion: Based on this in silico study, it was found that the FTNVYADSFVIRGDEVRQIAPGQTGKIADYNYKLPDDFT epitope sequence was the best to be used as a vaccine candidate of SARS-CoV-2 B.1.617.2 (Delta) variant.
Keywords: SARS-CoV-2 B.1.617.2 (Delta) variant, B-cell epitope, vaccine, in silico, immunoinformatics.
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