In silico prediction of B and T cell epitopes of Fllagellin antigen of bacterium Clostridium Chauvoei

Blackleg including a Severe and fatal disease affecting young cattle and sheeps. Symptoms of this disease is poisoning myositis and often fatal. A clostridium chauvoei bacterium which is the agent of this disease is a Gram-positive, road shape, anaerobic bacteria and produce gase and spore. Spores of the bacteria are highly resistant and can survive in the soil and feed. Size of these bacteria is 0.5-1× 3-8 microns and seems usually single, diplo and rarely sterepto basil Basil. Flagella are the major protective antigen that is in the bacteria surface. Since flagellin protein is a virulence factor and a protective antigen, takes lots attentions in recent years and it can be used as recombinant vaccine design. The aim of present study is detection of B and T cell epitope of Flagellin protein using bioinformatics analysis tools.
Using bioinformatics prediction of B and T cell epitopes as well as software to predict the secondary and tertiary structure of proteins, the epitopes of protein Flagellin based on the highest score and most frequent were determined. Finally, to further investigate aimed to exploit properties of selected epitopes, test of antigenicity ability and enzyme digestion has been done using VaxiJen 2.0 software with 8.0 threshold value and protein digest software respectively corresponding related server.
3 epitopes in the range of 95-107, 311-320, 399-406 for T cell epitope and 3 amino acid 146-156, 246-254, 291-299 resediue for B cells resulted. The amino acid sequence 32_45 resediue were in common for both B and T cells reported respectively.
Using the amino acid sequence specially the shared epitopes between both B and T cells in subunit recombinant construct in new generation of vaccines, not only can eliminating the risks of adverse effects of attenuated live vaccines but also a high level of immune response on the host body infected with clostridium chauvoei bacterium could be created.