tetano
Editor, Senior Moderator
Infect Genet Evol
. 2022 Aug 22;105355.
doi: 10.1016/j.meegid.2022.105355. Online ahead of print.
Insight into the first multi-epitope-based peptide subunit vaccine against avian influenza A virus (H5N6): An immunoinformatics approach
Md Mukthar Mia[SUP] 1 [/SUP], Mahamudul Hasan[SUP] 2 [/SUP], Shakil Ahmed[SUP] 3 [/SUP], Mohammad Nahian Rahman[SUP] 3 [/SUP]
Affiliations
Abstract
The rampant spread of highly pathogenic avian influenza A (H5N6) virus has drawn additional concerns along with ongoing Covid-19 pandemic. Due to its migration-related diffusion, the situation is deteriorating. Without an existing effective therapy and vaccines, it will be baffling to take control measures. In this regard, we propose a revers vaccinology approach for prediction and design of a multi-epitope peptide based vaccine. The induction of humoral and cell-mediated immunity seems to be the paramount concern for a peptide vaccine candidate; thus, antigenic B and d T cell epitopes were screened from the surface, membrane, and envelope proteins of the avian influenza A (H5N6) virus and passed through several immunological filters to determine the best possible one. Following that, the selected prominent, antigenic with immunogenic epitopes and adjuvant were linked to finalize the multi-epitope peptide vaccine by appropriate linkers. For the prediction of an effective binding, molecular docking was carried out between the vaccine and immunological receptors (TLR8). Strong binding affinity and good docking scores clarified the stringency of the vaccines. Furthermore, molecular dynamics simulation was performed within the highest binding affinity complex to observe the stability and minimize the designed vaccine's high mobility region in order to increase its stability. Then, Codon optimization and other physicochemical properties were performed to reveal that the vaccine would be suitable for a higher expression at cloning level and satisfactory thermostability condition. In conclusion, predicting the overall in silico assessment, we anticipated that our designed vaccine would be a plausible prevention against avian influenza A (H5N6) virus.
Keywords: Avian influenza A (H5N6) viruses; Codon optimization; Epitopes; In-silico cloning; Molecular docking; Molecular dynamics simulations.
. 2022 Aug 22;105355.
doi: 10.1016/j.meegid.2022.105355. Online ahead of print.
Insight into the first multi-epitope-based peptide subunit vaccine against avian influenza A virus (H5N6): An immunoinformatics approach
Md Mukthar Mia[SUP] 1 [/SUP], Mahamudul Hasan[SUP] 2 [/SUP], Shakil Ahmed[SUP] 3 [/SUP], Mohammad Nahian Rahman[SUP] 3 [/SUP]
Affiliations
- PMID: 36007760
- PMCID: PMC9394107
- DOI: 10.1016/j.meegid.2022.105355
Abstract
The rampant spread of highly pathogenic avian influenza A (H5N6) virus has drawn additional concerns along with ongoing Covid-19 pandemic. Due to its migration-related diffusion, the situation is deteriorating. Without an existing effective therapy and vaccines, it will be baffling to take control measures. In this regard, we propose a revers vaccinology approach for prediction and design of a multi-epitope peptide based vaccine. The induction of humoral and cell-mediated immunity seems to be the paramount concern for a peptide vaccine candidate; thus, antigenic B and d T cell epitopes were screened from the surface, membrane, and envelope proteins of the avian influenza A (H5N6) virus and passed through several immunological filters to determine the best possible one. Following that, the selected prominent, antigenic with immunogenic epitopes and adjuvant were linked to finalize the multi-epitope peptide vaccine by appropriate linkers. For the prediction of an effective binding, molecular docking was carried out between the vaccine and immunological receptors (TLR8). Strong binding affinity and good docking scores clarified the stringency of the vaccines. Furthermore, molecular dynamics simulation was performed within the highest binding affinity complex to observe the stability and minimize the designed vaccine's high mobility region in order to increase its stability. Then, Codon optimization and other physicochemical properties were performed to reveal that the vaccine would be suitable for a higher expression at cloning level and satisfactory thermostability condition. In conclusion, predicting the overall in silico assessment, we anticipated that our designed vaccine would be a plausible prevention against avian influenza A (H5N6) virus.
Keywords: Avian influenza A (H5N6) viruses; Codon optimization; Epitopes; In-silico cloning; Molecular docking; Molecular dynamics simulations.