همایش ملی بیوانفورماتیک ایران

صفحه اصلی / 4th international edition and 13th Iranian Conference on Bioinformatics

Development of a Multi-Epitope Vaccine Candidate for Brucella: An Immunoinformatics Approach to Achieve Cross-Protection

نویسندگان :

Zohre Sadeghi¹ Zahra Davoudi²

1- دانشگاه علوم پزشکی زاهدان 2- دانشگاه علوم پزشکی زنجان

کلمات کلیدی :

Multi-epitope vaccine،Brucella،Immunoinformatic،vaccine design

چکیده :

Brucellosis is a worldwide bacterial zoonosis disease transmitted from animals to humans. Despite the use of various strategies in the design of vaccines, such as live attenuated vaccines and dead vaccines, there is still no high –performance vaccine. Based on problems with live vaccines, there is a need to introduce new candidates for immune response against Brucella. Epitope-based vaccines as a new type of subunit vaccines that are composed of immunogenic regions, B-cell and T-cell epitopes, induce targeted immune responses. We designed a vaccine candidate that incorporates T-cell and B-cell epitopes from OMP31, BLS, DnaK, Urease, TF, along with HSP70 linked by an EAAK sequence as an adjuvant to enhance the immunogenicity of the vaccine construct. Antigenicity, physicochemical characteristics, allergenicity, tertiary structure, and molecular docking were evaluated. Subsequently, the most optimal construct was selected, and computational immune simulations were evaluated. Our results revealed that the designed construct has appropriate properties, such as high score for antigenicity, good stability, and more. Moreover, it demonstrates a strong binding affinity for the toll-like receptor. This study presents a vaccine candidate that has been evaluated in silico as a potential option against both Brucella melitensis and Brucella abortus. To confirm the effectiveness of the designed vaccine, laboratory validation through in vivo studies is essential.

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