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Research & Reviews: A Journal of Bioinformatics

In-silico Design of Multi-epitope Vaccine for Tackling Type-1 Parainfluenza Virus

  1. Zaid Khan
  2. Sana Sumera
  3. Mekkanti Manasa Rekha

Abstract

Human parainfluenza viruses (HPIV) often cause breathing infections, particularly in kids and infants. HPIV-1 is known for causing severe croup, yet no approved vaccines exist for HPIV infections. This study employed an in-silico approach to design a potential vaccine candidate targeting the fusion glycoprotein antigen of HPIV-1. Results highlighted that B-cell and T-cell epitopes were successfully identified from the fusion glycoprotein antigen using in-silico methods. Epitopes passing antigenicity, allergenicity, and toxicity assessments were selected and connected using appropriate linkers. The constructed vaccine exhibited favorable physiochemical properties, structural stability, and strong binding affinity with the TLR (Toll like receptor)-8. The vaccine sequence was successfully cloned into the pET-28a (+) vector. In Conclusion This study presents a promising development in the quest for an effective HPIV-1 vaccine. The design and construction of the multi-epitope vaccine, along with its structural validation, provide a solid foundation for further research. However, additional in vitro and in vivo investigations are crucial to assess the vaccine's efficacy, immunogenicity, and safety prior to clinical application.

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