An immunoinformatics technique was used to predict a monovalent amide immunogen candidate capable of producing therapeutic antibodies as well as a potent immunogen candidate capable of acting as a universal vaccination against all dengue fever virus serotypes. The capsid protein is an attractive goal for anti-DENV due to its position in the dengue existence cycle. The widely accessible immunological data, advances in antigenic peptide prediction using reverse vaccinology, and the introduction of molecular docking in immunoinformatics have directed vaccine manufacturing. The C-proteins of DENV-1-4 serotypes were known as antigens to assist with logical design. Binding epitopes for TC cells, TH cells, and B cells is predicted from structural dengue virus capsid proteins. Each T cell epitope of C-protein integrated with a B cell as a templet was used as a vaccine and produce antibodies in contrast to serotype of the dengue virus. A chimeric tetravalent vaccine was created by combining four vaccines, each representing four dengue serotypes, to serve as a standard vaccine candidate for all four Sero groups. The LKRARNRVS, RGFRKEIGR, KNGAIKVLR, and KAINVLRGF from dengue 1, dengue 2, dengue 3, and dengue 4 epitopes may be essential immunotherapeutic representatives for controlling outbreaks.
Dengue is a disease caused by one of DENV1, DENV2, DENV3, and DENV4 serotypes. There is no successful vaccine available to control all serotypes of dengue virus. Therefore, we are discovering new prevention measures using immunoinformatics strategies to establish an epitope based subunit vaccine that can produce different immune responses within the host. The prediction and subsequent discovery of B-cell epitopes using in silico techniques will improve the authors' knowledge in pathogenesis of diseases and the development of better vaccines. In present work, for the analysis of serotype DENV2 proteomes, three separate prediction approaches, such as ABCpred, BCpred, and AAP method were used, which leads to the prediction of 1458 B cell epitopes. Antigenicity, allergicity, and toxicity were analyzed for selected 66 epitopes. Eight antigenic epitopes were predicted among 27 consensus epitopes. The IEDB conservancy tool evaluated six of them and found to be more than 75% conservancy. The research using the IEDB conservancy tool suggests that six possible novel epitopes as VEPGQLKLSWFKKGSSIGQM, TELKYSWKTWGK, NDWDFVVTTDIS, AKKQDVVLGSQEGAM, EIAETQHGTIVVRVQYEGDG, and DGITVIDLDPIPYDPK is expected to be unreported peptides.
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