Immunoinformatics-Based Design of a Multiple-Epitope Vaccine Against IHNV

Area of Science:

• Aquaculture
• Veterinary Virology
• Immunoinformatics

Background:

• Infectious hematopoietic necrosis virus (IHNV) causes significant mortality and economic losses in salmonid aquaculture.
• Current vaccine strategies (DNA, inactivated) have limitations in biosafety and efficacy.
• Novel vaccine approaches are needed to protect salmonids from IHNV.

Purpose of the Study:

• To develop a novel, safe, and effective multi-epitope vaccine against IHNV using an immunoinformatic platform.
• To identify and assemble potent T-cell and B-cell epitopes from IHNV glycoprotein.
• To enhance vaccine immunogenicity and predict its interaction with the host immune system.

Main Methods:

• In silico analysis of IHNV glycoprotein to identify antigenic and non-allergenic CTL, HTL, and B-cell epitopes.
• Assembly of identified epitopes with linkers and inclusion of FliC adjuvant.
• Physicochemical property analysis, structural modeling, molecular docking with TLR5, and molecular dynamics simulations.
• In silico immune response simulations to predict humoral and cellular immunity.

Main Results:

• Identification of highly antigenic and non-allergenic epitopes for vaccine design.
• Designed vaccine construct exhibited favorable physicochemical properties and structural stability.
• Stable and strong interactions between the vaccine and TLR5 were confirmed, indicating innate immune activation.
• In silico simulations predicted a robust humoral and cellular immune response.

Conclusions:

• The immunoinformatic approach successfully designed a multi-epitope vaccine candidate against IHNV.
• The designed vaccine has the potential to activate innate immunity via TLR5 interaction.
• This in silico-developed vaccine shows promise for a safe and effective strategy against IHNV in Atlantic salmon, improving aquaculture health.