Eastern equine encephalitis
virus (EEEV) is a significant threat
to human and animal populations, causing severe encephalitis, often
leading to long-term neurological complications and even mortality.
Despite this, no approved antiviral treatments or EEEV human vaccines
currently exist. In response, we utilized immunoinformatics and computational
approaches to design a multiepitope vaccine candidate for EEEV. By
screening the structural polyprotein of EEEV, we predicted both T-cell
and linear B-cell epitopes. These epitopes underwent comprehensive
evaluations for their antigenicity, toxicity, and allergenicity. From
these evaluations, we selected ten epitopes highly suitable for vaccine
design, which were connected with adjuvants using a stable linker.
The resulting vaccine construct demonstrated exceptional antigenic,
nontoxic, nonallergenic, and physicochemical properties. Subsequently,
we employed molecular docking and molecular dynamics simulations to
reveal a stable interaction pattern between the vaccine candidate
and Toll-like receptor 5. Besides, computational immune simulations
predicted the vaccine’s capability to induce robust immune
responses. Our study addresses the urgent need for effective EEEV
preventive strategies and offers valuable insights for EEEV vaccine
development. As EEEV poses a severe threat with potential spread due
to climate change, our research provides a crucial step in enhancing
public health defenses against this menacing zoonotic disease.