Development of a multi-epitope vaccine candidate against Sindbis virus through integrated immunoinformatics approaches and molecular dynamics simulations
Sindbis virus (SINV), belonging to the genus Alphavirus, is the causative agent of Pogosta disease in humans. The clinical infection is characterized by fever, malaise, rash, myalgia, and arthralgia, which is generally self limiting. Chronic infection with SINV triggers autoimmune conditions that le...
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| Format: | Article |
| Language: | English |
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Elsevier
2026
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| Online Access: | https://repository.auw.edu.bd/handle/123456789/3056 |
| _version_ | 1857448833846345728 |
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| author | Ira, Nabila Ishaque Jaishee, Nishika Saha, Ayan Naidoo, Devashan Islam, Shazneen Tasnim Tani, Tazneen Hossain Roy, Ayan |
| author_facet | Ira, Nabila Ishaque Jaishee, Nishika Saha, Ayan Naidoo, Devashan Islam, Shazneen Tasnim Tani, Tazneen Hossain Roy, Ayan |
| author_sort | Ira, Nabila Ishaque |
| collection | institutional Repository |
| description | Sindbis virus (SINV), belonging to the genus Alphavirus, is the causative agent of Pogosta disease in humans. The
clinical infection is characterized by fever, malaise, rash, myalgia, and arthralgia, which is generally self
limiting. Chronic infection with SINV triggers autoimmune conditions that lead to persistent arthritis. Despite
its clinical relevance, no licensed vaccine is currently available for the prevention of SINV infection. To the best
of our knowledge, this study presents the first in silico design and evaluation of a multi-epitope vaccine candidate
against SINV. Using an integrated immunoinformatics framework, the SINV structural polyprotein was sys
tematically screened, leading to the identification of twelve highly antigenic immunological hotspots, derived
from both experimentally validated and computationally predicted B-cell and T-cell epitopes. These epitopes
were rationally assembled into a 317–amino acid multi-epitope vaccine construct using suitable linkers and the
human β-defensin 2 as an immunostimulatory adjuvant. The designed construct exhibited favorable antigenicity,
non-toxicity, stability, and physicochemical properties. Molecular docking and molecular dynamics simulations
demonstrated encouraging interactions between the vaccine construct and innate immune receptors TLR-2 and
TLR-4, highlighting its potential to trigger immune responses. Immune simulation predicted robust humoral and
cell-mediated immune responses, while codon optimization and in silico cloning into the pETite vector indicated
expression feasibility in Escherichia coli K12. This work proposes a novel immunoinformatics and molecular
dynamics–based vaccine design pipeline for Sindbis virus and presents a computationally validated multi-epitope
vaccine candidate, providing a foundation for future experimental validation toward effective vaccine
development. |
| format | Article |
| id | 123456789-3056 |
| institution | Asian University for Women |
| language | English |
| publishDate | 2026 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | 123456789-30562026-02-18T06:15:16Z Development of a multi-epitope vaccine candidate against Sindbis virus through integrated immunoinformatics approaches and molecular dynamics simulations Ira, Nabila Ishaque Jaishee, Nishika Saha, Ayan Naidoo, Devashan Islam, Shazneen Tasnim Tani, Tazneen Hossain Roy, Ayan Sindbis virus Vaccine Multi-epitope Immunoinformatics Molecular docking Molecular dynamics simulations Sindbis virus (SINV), belonging to the genus Alphavirus, is the causative agent of Pogosta disease in humans. The clinical infection is characterized by fever, malaise, rash, myalgia, and arthralgia, which is generally self limiting. Chronic infection with SINV triggers autoimmune conditions that lead to persistent arthritis. Despite its clinical relevance, no licensed vaccine is currently available for the prevention of SINV infection. To the best of our knowledge, this study presents the first in silico design and evaluation of a multi-epitope vaccine candidate against SINV. Using an integrated immunoinformatics framework, the SINV structural polyprotein was sys tematically screened, leading to the identification of twelve highly antigenic immunological hotspots, derived from both experimentally validated and computationally predicted B-cell and T-cell epitopes. These epitopes were rationally assembled into a 317–amino acid multi-epitope vaccine construct using suitable linkers and the human β-defensin 2 as an immunostimulatory adjuvant. The designed construct exhibited favorable antigenicity, non-toxicity, stability, and physicochemical properties. Molecular docking and molecular dynamics simulations demonstrated encouraging interactions between the vaccine construct and innate immune receptors TLR-2 and TLR-4, highlighting its potential to trigger immune responses. Immune simulation predicted robust humoral and cell-mediated immune responses, while codon optimization and in silico cloning into the pETite vector indicated expression feasibility in Escherichia coli K12. This work proposes a novel immunoinformatics and molecular dynamics–based vaccine design pipeline for Sindbis virus and presents a computationally validated multi-epitope vaccine candidate, providing a foundation for future experimental validation toward effective vaccine development. 2026-01-18T10:30:11Z 2026-01-18T10:30:11Z 1/5/2026 Article https://repository.auw.edu.bd/handle/123456789/3056 en application/pdf Elsevier |
| spellingShingle | Sindbis virus Vaccine Multi-epitope Immunoinformatics Molecular docking Molecular dynamics simulations Ira, Nabila Ishaque Jaishee, Nishika Saha, Ayan Naidoo, Devashan Islam, Shazneen Tasnim Tani, Tazneen Hossain Roy, Ayan Development of a multi-epitope vaccine candidate against Sindbis virus through integrated immunoinformatics approaches and molecular dynamics simulations |
| title | Development of a multi-epitope vaccine candidate against Sindbis virus through integrated immunoinformatics approaches and molecular dynamics simulations |
| title_full | Development of a multi-epitope vaccine candidate against Sindbis virus through integrated immunoinformatics approaches and molecular dynamics simulations |
| title_fullStr | Development of a multi-epitope vaccine candidate against Sindbis virus through integrated immunoinformatics approaches and molecular dynamics simulations |
| title_full_unstemmed | Development of a multi-epitope vaccine candidate against Sindbis virus through integrated immunoinformatics approaches and molecular dynamics simulations |
| title_short | Development of a multi-epitope vaccine candidate against Sindbis virus through integrated immunoinformatics approaches and molecular dynamics simulations |
| title_sort | development of a multi epitope vaccine candidate against sindbis virus through integrated immunoinformatics approaches and molecular dynamics simulations |
| topic | Sindbis virus Vaccine Multi-epitope Immunoinformatics Molecular docking Molecular dynamics simulations |
| url | https://repository.auw.edu.bd/handle/123456789/3056 |
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