Designing of multi-valent epitope vaccine displaying interactions with diverse HLA alleles against Candida auris using immuno-informatics.

ABSTRACT: The emergence of multidrug resistanceagainst several antifungal drugs and the absence of alternate therapy limits the treatment choices leading to the spread of Candida auris infections, especially inimmunocompromised patients. This work aims to construct the multi-epitope vaccine using an immuno-informatics approachdue to the lack of efficient treatments for C. auris. Very few in-silico studies have been conducted to design a vaccine against C. auris majorly targeting the specific proteins regardless of the importance of non-structural proteins. The whole proteome was targeted to identify the antigenic proteins because components other than non-structural proteins can also potentially act as immunogens. The antigenic determinants were mapped in the target proteins and screened via IEDB an

SUBMITTER: Ahlawat V 

PROVIDER: S-EPMC11925578 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature