Designing an Epitope-Based Vaccine against Bovine Viral Diarrhea
using Immuno-informatics
Rimsha Riaz1, Saira Zahid1 and Muhammad Sarwar
Khan1*
Centre of Agricultural Biochemistry and Biotechnology (CABB),
University of Agriculture Faisalabad, Pakistan.
P. O. Box 38000
*Corresponding author:
sarwarkhan_40@hotmail.com
Abstract
Bovine Viral Diarrhea (BVD) is a major economic threat to the livestock industry
due to its widespread infection among cattle around the world. Due to resistant
strains and regulatory system inadequacies, traditional therapeutic vaccines
failed to eradicate it. In this study, a Multi-Epitope Vaccine (MEV) with
noticeable immunological properties is proposed that can mitigate these problems
by decreasing cross-contamination, autoimmune responses, and inflammatory
responses. Using Immunoinformatics approaches, putative CTL- and B-cell epitopes
from four BVDV proteins (E1, E2, Erns, and NS3) were predicted and
scrutinized after immunogenic profiling. The robust binding of chimeric vaccine
to bovine TLR3 was validated through protein-protein docking investigations. The
molecular dynamic simulation proved it to be stable in a biological system. The
proposed MEV proved vital in strengthening the host immunity upon infection as
the immunological simulation was projected to induce immunoglobulins,
interleukins, interferons, helper T cells, and cytotoxic T cells. Our results
therefore imply that the proposed vaccine will aid in inducing a strong and
durable immunity in animals against BVDV infection.
To Cite This Article:
Riaz R, Zahid S and Khan MS, 2024.
Designing an epitope-based vaccine
against bovine viral diarrhea using immuno-informatics. Pak Vet J, 44(2):
465-475. http://dx.doi.org/10.29261/pakvetj/2024.162