tetano
Editor, Senior Moderator
Inform Med Unlocked
. 2021 Apr 21;100578.
doi: 10.1016/j.imu.2021.100578. Online ahead of print.
Immunoinformatics and Molecular Modeling Approach to Design Universal Multi-Epitope Vaccine for SARS-CoV-2
Md Tahsin Khan[SUP] 1 2 [/SUP], Md Jahirul Islam[SUP] 1 [/SUP], Arpana Parihar[SUP] 3 [/SUP], Rahatul Islam[SUP] 2 [/SUP], Tarhima Jahan Jerin[SUP] 4 [/SUP], Rupali Dhote[SUP] 3 [/SUP], Md Ackas Ali[SUP] 1 [/SUP], Fariha Khan Laura[SUP] 1 [/SUP], Mohammad A Halim[SUP] 1 5 [/SUP]
Affiliations
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmittable and pathogenic human coronavirus that caused a pandemic situation of acute respiratory syndrome, called COVID-19, which has posed a significant threat to global health security. The aim of the present study is to computationally design an effective peptide-based multi-epitope vaccine (MEV) against SARS-CoV-2. The overall model quality of the vaccine candidate, immunogenicity, allergenicity, and physiochemical analysis have been conducted and validated. Molecular dynamics studies confirmed the stability of the candidate vaccine. The docked complexes during the simulation revealed that a strong and stable binding interactions of MEV with human and mice toll-like receptors (TLR), TLR3 and TLR4. Finally, candidate vaccine codons have been optimized for their in silico cloning in E.coli expression system, to confirm increased expression. The proposed MEV can be a potential candidate against SARS-CoV-2, but experimental validation is needed to ensure its safety and immunogenicity status.
Keywords: Immunoinformatics; Molecular dynamics simulation; Multi epitope vaccine; SARS-CoV-1; SARS-CoV-2.
. 2021 Apr 21;100578.
doi: 10.1016/j.imu.2021.100578. Online ahead of print.
Immunoinformatics and Molecular Modeling Approach to Design Universal Multi-Epitope Vaccine for SARS-CoV-2
Md Tahsin Khan[SUP] 1 2 [/SUP], Md Jahirul Islam[SUP] 1 [/SUP], Arpana Parihar[SUP] 3 [/SUP], Rahatul Islam[SUP] 2 [/SUP], Tarhima Jahan Jerin[SUP] 4 [/SUP], Rupali Dhote[SUP] 3 [/SUP], Md Ackas Ali[SUP] 1 [/SUP], Fariha Khan Laura[SUP] 1 [/SUP], Mohammad A Halim[SUP] 1 5 [/SUP]
Affiliations
- PMID: 33898733
- PMCID: PMC8057924
- DOI: 10.1016/j.imu.2021.100578
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmittable and pathogenic human coronavirus that caused a pandemic situation of acute respiratory syndrome, called COVID-19, which has posed a significant threat to global health security. The aim of the present study is to computationally design an effective peptide-based multi-epitope vaccine (MEV) against SARS-CoV-2. The overall model quality of the vaccine candidate, immunogenicity, allergenicity, and physiochemical analysis have been conducted and validated. Molecular dynamics studies confirmed the stability of the candidate vaccine. The docked complexes during the simulation revealed that a strong and stable binding interactions of MEV with human and mice toll-like receptors (TLR), TLR3 and TLR4. Finally, candidate vaccine codons have been optimized for their in silico cloning in E.coli expression system, to confirm increased expression. The proposed MEV can be a potential candidate against SARS-CoV-2, but experimental validation is needed to ensure its safety and immunogenicity status.
Keywords: Immunoinformatics; Molecular dynamics simulation; Multi epitope vaccine; SARS-CoV-1; SARS-CoV-2.