2021
DOI: 10.56499/jppres21.1101_9.6.766
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Viroinformatics investigation of B-cell epitope conserved region in SARS-CoV-2 lineage B.1.1.7 isolates originated from Indonesia to develop vaccine candidate against COVID-19

Abstract: Context: SARS-CoV-2, a member of family Coronaviridae and the causative agent of COVID-19, is a virus which is transmitted to human and other mammals. Aims: To analyze the B-cell epitope conserved region and viroinformatics-based study of the SARS-CoV-2 lineage from Indonesian B.1.1.7 isolates to invent a vaccine nominee for overcoming COVID-19. Methods: The sequences of seven Indonesian B.1.1.7 isolates, Wuhan-Hu-1 isolate, and WIV04 isolate were extracted from the GISAID EpiCoV and GenBank, NCBI. MEGA X wa… Show more

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Cited by 10 publications
(3 citation statements)
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References 38 publications
(52 reference statements)
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“…The predicted epitopes KLNDLCFTNV and ITLCFTLKRK ( Can et al, 2020 ) were ideal antigens for the development of an epitope-based peptide, and GGDGKMKD ( Can et al, 2020 ) was ideal for a serodiagnostic assay. However, the significant predicted epitopes should be further examined in wet lab studies ( Can et al, 2020 ; Ansori et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The predicted epitopes KLNDLCFTNV and ITLCFTLKRK ( Can et al, 2020 ) were ideal antigens for the development of an epitope-based peptide, and GGDGKMKD ( Can et al, 2020 ) was ideal for a serodiagnostic assay. However, the significant predicted epitopes should be further examined in wet lab studies ( Can et al, 2020 ; Ansori et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…The previous studies ( Can et al, 2020 ; Lu et al, 2021b ; Ansori et al, 2021 ) used predicted epitopes to design epitope-based vaccines and a serodiagnosis assay. Essential useful bioinformatics entities were also reported to solve the SARS-CoV-2 conundrum ( Fahmi et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…Older people and people with underlying medical conditions, such as cancer, diabetes, cardiovascular disease, or chronic respiratory disorders, are more prone to have severe illness. Anyone can get COVID-19 and become seriously ill or die at any age [1][2][3][4][5][6][7] .…”
Section: Introductionmentioning
confidence: 99%