CELL EPITOPE-BASED VACCINE CANDIDATE AGAINST BACTEROIDES FRAGILIS BY IMMUNOINFORMATICS APPROACH

Background and Aim:Bacteroides fragilis is one of the most abundant anaerobes found in humans and cause intra-abdominal infection, sepsis, soft tissue abscess and bacteraemia. The traditional approach to design a vaccine is a long process that involves the attenuation of the pathogen through sub-culturing followed by its administration. The administration of whole pathogen raises several safety issues and toxicity owing to the unwanted biomaterial. Thus, peptide can also serve as a vaccine candidate, as well as can be used for designing immunotherapeutic. It has been shown in the past that a small peptide or antigenic regions can also activate different arms of the immune system. The conventional approach for designing vaccine against a particular disease involves stimulation of the immune system using the whole pathogen responsible for disease.Methods:First, vaccine targets were selected according to standard characteristic. Then B-cell epitope of canditate peptide were predicted using well-known online bioinformatics server (IEDB, Bcepred, Ellipro, DiscoTope) and then were selected and compared based on the highest score and the highest repetition.Results:In this study, we designed a new structural model containing two putative antigenic determinants of SusC/RagA family TonB-linked outer membrane protein and membrane protein insertase YidC fused together by hydrophobic linkers.Conclusion:The fusion peptide construct may be used as epitope-based vaccine for development of Bacteroides fragilis vaccine candidates.

کلیدواژه ها:

Immunoinformatics ، in silico ، epitope based vaccine ، Bacteroides fragilis