Key result
An immunoinformatics-designed multi-epitope subunit vaccine against Foot-and-Mouth Disease Virus demonstrated high predicted antigenicity (0.73), stability, and strong binding affinity to cattle TLR-9.
Why the study?
Current vaccination strategies against foot-and-mouth disease virus suffer from difficulties with antigenic variability and high costs.
An immunoinformatics-designed multi-epitope subunit vaccine against FMDV shows promising in silico antigenicity, stability, and TLR-9 binding, warranting further experimental validation.
In silico data support FMDV vaccine candidate pursuit; leaves open in vivo efficacy and safety pending validation.
Foot-and-mouth disease (FMD) is the most destructive for livestock with reservoirs in cattle, buffalo, sheep, goats, and pigs and foot-and-mouth disease virus (FMDV) with seven serotypes. Current vaccination strategies suffer from difficulties with antigenic variability coupled with high costs. This paper aims to design a multi-epitope subunit vaccine against FMDV by the use of immunoinformatics approach in order to improve effectiveness. We used immunoinformatics to design a subunit vaccine that included two T-cell epitopes linked with AAV and three B-cell epitopes linked with KK. T- and B-cell epitopes were joined by a GPSL linker. A Pan HLA-DR binding epitope, PADRE, was attached at both ends using EAAAK linkers. Physicochemical properties, allergenicity, and antigenicity of the vaccine were evaluated, along with secondary and tertiary structure predictions and molecular docking studies with the Toll-like receptor 9 (TLR-9). The vaccine had a predicted to be non-allergic and with high antigenic property (0.73). Physicochemical analysis showed to be 135 amino acids, stable (21.29 stability index), and basic (pI of 10.51). The overall 3D structure showed robust binding affinity against the cattle TLR-9 receptor. It was confirmed, in silico cloning, effective transformation into prokaryotic expression vector pET-28a (+). The subunit vaccine developed based on immunoinformatics has great promise in the form of a high antigenicity level, stabilized physicochemical properties, and interactions well-favored with TLR-9. This indicates potential further experimental validation of effectiveness as a candidate vaccine against FMD.
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A 2025 study studied Foot-and-Mouth Disease (FMD). Immunoinformatics-designed multi-epitope subunit vaccine was evaluated on Antigenicity, allergenicity, and TLR-9 binding affinity. An immunoinformatics-designed multi-epitope subunit vaccine against Foot-and-Mouth Disease Virus demonstrated high predicted antigenicity (0.73), stability, and strong binding affinity to cattle TLR-9.
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