In-silico Designing of Immunogenic Construct Based on Peptide Epitopes Using Immuno-informatics Tools Against Tuberculosis

Abstract

Background and Aim: Mycobacterium tuberculosis is a health problem in countries. Despite the global prevalence of tuberculosis and the lack of appropriate drugs, further progress is still needed with the help of modern methods of preparing epitope-based vaccines for tuberculosis. Materials and Methods: In this study, specific T and B cell epitopes required for producing chimeric vaccines with the help of servers such as IEDB were determined. The antigenicity, allergenicity, and toxicity of the selected epitopes by various other servers such as VaxiJenv2.0, AllerTOP, and Toxinpred were determined, and the vaccine of the epitope was then configured with the help of special linkers. Then, analyze the structure vaccine by some other bioinformatics servers such as PRABI, SWISS-MODEL, PROCHECK, and PEPCALC, was investigated and finally detected using docking techniques to evaluate the interaction with the epitope through MVD software. Results: The results showed that the vaccine, in terms of in silico evaluations of two-dimensional and three-dimensional structures, has a good condition. Also, the percentage of optimal placement of amino acids and bonds by PROCHECK server, % 99 percent of optimal placement of amino acids in the chimer structure was established. Also, it was non-toxic and nonallergenic and had the desired antigenicity. Conclusion: In general, the vaccine that was able to have a favorable interaction with some components of the immune system (HLA) in the docking process, which indicates the optimal identification of this structure by the humoral and cellular immune system, of course, more reliable proof of it requires clinical phase processes.