ReVac
ReVac is a software tool that accelerates the discovery of potential vaccine candidates (PVCs) from multiple bacterial proteomes. It employs a comprehensive approach that combines feature prediction programs and a scoring system based on curated datasets of experimentally validated antigens and non-protective antigens. ReVac assesses protein conservation across several genomes and identifies core and dispensable genome components, which is crucial for determining the degree of conservation of PVCs among the population of isolates for a given pathogen. The tool also considers DNA and protein repeats that may result in variable expression of PVCs. ReVac ranks PVCs based on conservation and overall feature-based scoring, prioritizing them for subsequent experimental testing. By performing multi-genome analyses, ReVac provides a comprehensive overview of PVCs from a pan-genome perspective, essential for bacterial subunit vaccine design.
Topic
Immunoproteins and antigens;Proteomics;Machine learning;Sequence sites, features and motifs;Protein expression
Detail
Operation: Peptide immunogenicity prediction;Epitope mapping;Subcellular localisation prediction
Software interface: Command-line user interface
Language: Perl
License: Not stated
Cost: Free of charge
Version name: -
Credit: National Center for Advancing Translational Sciences.
Input: -
Output: -
Contact: Hervé Tettelin tettelin@som.umaryland.edu
Collection: -
Maturity: -
Publications
- ReVac: a reverse vaccinology computational pipeline for prioritization of prokaryotic protein vaccine candidates.
- D'Mello A, et al. ReVac: a reverse vaccinology computational pipeline for prioritization of prokaryotic protein vaccine candidates. ReVac: a reverse vaccinology computational pipeline for prioritization of prokaryotic protein vaccine candidates. 2019; 20:981. doi: 10.1186/s12864-019-6195-y
- https://doi.org/10.1186/S12864-019-6195-Y
- PMID: 31842745
- PMC: PMC6916091
Download and documentation
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