Multi Epitope Based Vaccine Design and Analysis against
Mycoplasma bovis Using Immunoinformatic Approaches
Iqra Ali1, Tahreem Shoukat1,
Tamsila Parveen1, Sohail Raza2, Farrukh Jamil1,
Sumaira Kanwal1, Muhammad Ibrahim1 and
Muhammad Asif Rasheed*1
1Department
of Biosciences, COMSATS University Islamabad, Sahiwal Campus, 57000,
Sahiwal, Pakistan
2Institute
of Microbiology, University of Veterinary and Animal Sciences,
Lahore
*Corresponding author:
asif.rasheed@cuisahiwal.edu.pk
Abstract
Mycoplasma bovis belongs to Mollicutesclass, is responsible for the
respiratory and reproductive diseases in dairy farms. Vaccination is essential
for protection from M. bovis bacteria. Previously, several vaccines have
been reported that are rendered useless with the passage of time due to
versatile changes in bacteria. This study aims to identify the conserved regions
for B and T cell epitopes of chromate transporter protein. Different
bioinformatics tools including Ellipro, NetCTL and NETMHCIIpan were used to
predict B cell, CTL and HTL epitopes, respectively. Altogether, we predicted 14
peptide epitopes (11 CTL and 3HTL epitopes) of chromate transporter protein that
induce the immune system. These epitopes used to predict vaccine against M.
bovis. Total length of predicted multi epitope vaccine consists upon 239
amino acids in its primary structure. To check interactions, molecular docking
was performed by patchDock and analyzed through LigPlot. To evaluate multi
epitope vaccine’s immunogenic profile, an Insilico immune response was
produced by C-ImmSim server. JCat was used for optimization of codon and the
reverse translation resulting in a vaccine cDNA sequence that can be used for an
efficient expression. Antigenicity and allergenicity was studied by Vaxijen 2.0
and Allertop server. It was observed that epitope-based vaccine helped to avoid
the outbreaks of pandemics in dairy farms with more efficacy and fewer side
effects. This research work will help researchers in testing the effectiveness
of epitope-based vaccine design against M. bovis.
To Cite This Article:
Ali I, Shoukat T, Parveen T, Raza S, Jamil F,
Kanwal S, Ibrahim M and Rasheed MA, 2022.
Multi epitope based vaccine design and analysis against Mycoplasma
bovis using immunoinformatic approaches. Pak Vet J, 42(1): 33-40.
http://dx.doi.org/10.29261/pakvetj/2021.068