In Silico design of a multi-epitope vaccine for Human Parechovirus: Integrating immunoinformatics and computational techniques.
Human parechovirus (HPeV) is widely recognized as a severe viral infection affecting infants and neonates. Belonging to the Picornaviridae family, HPeV is categorized into 19 distinct genotypes. Among them, HPeV-1 is the most prevalent genotype, primarily associated with respiratory and digestive sy...
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| Format: | Article |
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Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0302120 |
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| author | Arnob Sarker Md Mahmudur Rahman Chadni Khatun Chandan Barai Narayan Roy Md Abdul Aziz Md Omar Faruqe Md Tofazzal Hossain |
| author_facet | Arnob Sarker Md Mahmudur Rahman Chadni Khatun Chandan Barai Narayan Roy Md Abdul Aziz Md Omar Faruqe Md Tofazzal Hossain |
| author_sort | Arnob Sarker |
| collection | DOAJ |
| description | Human parechovirus (HPeV) is widely recognized as a severe viral infection affecting infants and neonates. Belonging to the Picornaviridae family, HPeV is categorized into 19 distinct genotypes. Among them, HPeV-1 is the most prevalent genotype, primarily associated with respiratory and digestive symptoms. Considering HPeV's role as a leading cause of life-threatening viral infections in infants and the lack of effective antiviral therapies, our focus centered on developing two multi-epitope vaccines, namely HPeV-Vax-1 and HPeV-Vax-2, using advanced immunoinformatic techniques. Multi-epitope vaccines have the advantage of protecting against various virus strains and may be preferable to live attenuated vaccines. Using the NCBI database, three viral protein sequences (VP0, VP1, and VP3) from six HPeV strains were collected to construct consensus protein sequences. Then the antigenicity, toxicity, allergenicity, and stability were analyzed after discovering T-cell and linear B-cell epitopes from the protein sequences. The fundamental structures of the vaccines were produced by fusing the selected epitopes with appropriate linkers and adjuvants. Comprehensive physicochemical, antigenic, allergic assays, and disulfide engineering demonstrated the effectiveness of the vaccines. Further refinement of secondary and tertiary models for both vaccines revealed promising interactions with toll-like receptor 4 (TLR4) in molecular docking, further confirmed by molecular dynamics simulation. In silico immunological modeling was employed to assess the vaccine's capacity to stimulate an immune reaction. In silico immunological simulations were employed to evaluate the vaccines' ability to trigger an immune response. Codon optimization and in silico cloning analyses showed that Escherichia coli (E. coli) was most likely the host for the candidate vaccines. Our findings suggest that these multi-epitope vaccines could be the potential HPeV vaccines and are recommended for further wet-lab investigation. |
| format | Article |
| id | doaj-art-39a48d4b86bd470c9c3ddf66c65673cb |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-39a48d4b86bd470c9c3ddf66c65673cb2025-08-20T02:16:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912e030212010.1371/journal.pone.0302120In Silico design of a multi-epitope vaccine for Human Parechovirus: Integrating immunoinformatics and computational techniques.Arnob SarkerMd Mahmudur RahmanChadni KhatunChandan BaraiNarayan RoyMd Abdul AzizMd Omar FaruqeMd Tofazzal HossainHuman parechovirus (HPeV) is widely recognized as a severe viral infection affecting infants and neonates. Belonging to the Picornaviridae family, HPeV is categorized into 19 distinct genotypes. Among them, HPeV-1 is the most prevalent genotype, primarily associated with respiratory and digestive symptoms. Considering HPeV's role as a leading cause of life-threatening viral infections in infants and the lack of effective antiviral therapies, our focus centered on developing two multi-epitope vaccines, namely HPeV-Vax-1 and HPeV-Vax-2, using advanced immunoinformatic techniques. Multi-epitope vaccines have the advantage of protecting against various virus strains and may be preferable to live attenuated vaccines. Using the NCBI database, three viral protein sequences (VP0, VP1, and VP3) from six HPeV strains were collected to construct consensus protein sequences. Then the antigenicity, toxicity, allergenicity, and stability were analyzed after discovering T-cell and linear B-cell epitopes from the protein sequences. The fundamental structures of the vaccines were produced by fusing the selected epitopes with appropriate linkers and adjuvants. Comprehensive physicochemical, antigenic, allergic assays, and disulfide engineering demonstrated the effectiveness of the vaccines. Further refinement of secondary and tertiary models for both vaccines revealed promising interactions with toll-like receptor 4 (TLR4) in molecular docking, further confirmed by molecular dynamics simulation. In silico immunological modeling was employed to assess the vaccine's capacity to stimulate an immune reaction. In silico immunological simulations were employed to evaluate the vaccines' ability to trigger an immune response. Codon optimization and in silico cloning analyses showed that Escherichia coli (E. coli) was most likely the host for the candidate vaccines. Our findings suggest that these multi-epitope vaccines could be the potential HPeV vaccines and are recommended for further wet-lab investigation.https://doi.org/10.1371/journal.pone.0302120 |
| spellingShingle | Arnob Sarker Md Mahmudur Rahman Chadni Khatun Chandan Barai Narayan Roy Md Abdul Aziz Md Omar Faruqe Md Tofazzal Hossain In Silico design of a multi-epitope vaccine for Human Parechovirus: Integrating immunoinformatics and computational techniques. PLoS ONE |
| title | In Silico design of a multi-epitope vaccine for Human Parechovirus: Integrating immunoinformatics and computational techniques. |
| title_full | In Silico design of a multi-epitope vaccine for Human Parechovirus: Integrating immunoinformatics and computational techniques. |
| title_fullStr | In Silico design of a multi-epitope vaccine for Human Parechovirus: Integrating immunoinformatics and computational techniques. |
| title_full_unstemmed | In Silico design of a multi-epitope vaccine for Human Parechovirus: Integrating immunoinformatics and computational techniques. |
| title_short | In Silico design of a multi-epitope vaccine for Human Parechovirus: Integrating immunoinformatics and computational techniques. |
| title_sort | in silico design of a multi epitope vaccine for human parechovirus integrating immunoinformatics and computational techniques |
| url | https://doi.org/10.1371/journal.pone.0302120 |
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