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A Pan-H5N1 Multiepitope DNA Vaccine Construct Targeting Some Key Proteins of the Clade 2.3.4.4b Using AI-Assisted
Nithyadevi Duraisamy1, Abid Ullah Shah2, Mohd Yasir Khan1
1Department of Computer Science, College of Digital Engineering and Artificial Intelligence, Long Island University, Brooklyn, NY 11201, USA.
None:
The presently used vaccines do not offer solid immunity/protection against the currently circulating strains of the H5N1 viruses. We aim to design a pan-H5N1 vaccine that protects birds against the presently circulating clade 2.3.4.4b in chickens. We used AI tools, including epitope mapping, molecular docking, and immune simulation, to design a multiepitope DNA vaccine including the top-ranked B and T cell epitopes within four major proteins (HA, NA, NP, and M2) of H5N1 clade 2.3.4.4b. We selected the top-ranked 12 epitopes and linked them together using linkers. The designed vaccine is linked to IL-18 as an adjuvant. The molecular docking results showed a high binding affinity of those predicted epitopes from the MHC I and MHC II classes of molecules with chicken alleles. The immune simulation results showed that the designed vaccine has the potential to stimulate the host immune response, including antibody and cell-mediated immunity in chickens and other birds. We believe this vaccine is going to be a universal vaccine that offers good protection against HPAI-H5N1 clade 2.3.4.4b. We are reporting the successful molecular cloning of a recombinant multiepitope-based vaccine spanning some key epitopes within some key proteins of the currently circulating H5N1 clade 2.3.4.4b. These designed vaccines could be a great positive impact on the protection of birds and various species of animals, as well as humans, against the HP-H5N1 influenza virus. Further studies are required to validate this vaccine candidate in chickens.
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