vactarbac

vactarbac identifies and prioritizes epitope-based vaccine candidates from 14 pathogenic bacteria using reverse vaccinology and immunoinformatic techniques.

Key Features:

• Immunoinformatics approach: Employs a systematic immunoinformatic strategy to screen virulence factors and essential gene products for epitope prediction across multiple bacterial pathogens.
• Target protein analysis: Evaluates 459 virulence factors and 546 essential gene products as target proteins to identify potential antigenic epitopes.
• Self-tolerance assessment: Maps self-epitopes against the human proteome to remove candidates with potential host cross-reactivity.
• Epitope and adjuvant prediction: Predicts MHC-II binders, B-cell epitopes, T-cell epitopes, and vaccine adjuvants, yielding 252 unique epitopes predicted to function as T-cell epitopes, B-cell epitopes, MHC II binders, and adjuvants.
• Antigenicity and epitope density visualization: Integrates visualization to display antigenicity and epitope density along antigenic sequences.

Scientific Applications:

• Vaccine target identification for drug-resistant bacteria: Systematically identifies and prioritizes vaccine targets to address drug-resistant bacterial strains.
• Epitope-based vaccine design: Supports design and selection of epitope-based vaccine candidates intended to protect human populations against a range of bacterial pathogens, covering 14 species.

Methodology:

Applies reverse vaccinology using large-scale sequencing data; screens antigenic proteins with immunoinformatic techniques; maps self-epitopes to the human proteome; predicts MHC-II binders, B-cell epitopes, T-cell epitopes, and vaccine adjuvants; and applies stringent selection criteria to select promising vaccine candidates, with visualization of antigenicity and epitope density.