Construction of an immunoinformatics-based multi-epitope vaccine candidate targeting Kyasanur forest disease virus

• DOI: 10.7717/peerj.18982
• Publication Date: 2025-03-21T08:00:56Z
• Authors: Sunitha Manjari K...; Lekshmi Rajan; Anita Shete; Vinod Jani; Savita Yadav; Yash Joshi; Rima Sahay; Deepak Y. Patil; Sreelekshmy Mohandas; Triparna Majumdar; Uddhavesh Sonavane; Rajendra Joshi; Pragya Yadav
• Keywords: Reverse vaccinology

Kyasanur forest disease (KFD) is one of the neglected tick-borne viral zoonoses. KFD virus (KFDV) was initially considered endemic to Western Ghats region Karnataka state in India. Over years, there have been reports its spread newer areas within and outside Karnataka. The absence an effective treatment for mandates need further research development novel vaccines. present study designed develop a multi-epitope vaccine candidate against KFDV using immunoinformatics approaches. A total 74 complete genome sequences were analysed genetic recombination followed by phylogeny. Computational prediction B- T-cell epitopes belonging envelope protein performed prioritised based on IFN-Gamma, IL-4, IL-10 stimulation checked allergenicity toxicity. eight short-listed (three MHC-Class 1, three 2 two B-cell) then combined various linkers construct candidate. Molecular docking molecular simulations revealed stable interactions with immune receptor complex namely Toll-like receptors (TLR2-TLR6). Codon optimization in-silico cloning into pET30b (+) expression vector carried out. Immunoinformatics analysis current has potential significantly accelerate initial stages development. Experimental validation remains crucial confirm effectiveness safety real-world conditions.