MenDeVAR
MenDeVAR assesses meningococcal vaccine antigen variants and their predicted immunological cross-reactivity from whole-genome or individual gene sequences to inform vaccine reactivity for serogroup B invasive meningococcal disease (IMD) management.
Key Features:
- Integration of genomic and experimental data: Synthesizes genomic sequences with experimental findings from published sources to assess antigen variant reactivity.
- Input data types: Processes whole-genome sequences and individual gene sequences from IMD isolates or clinical specimens.
- Identification of vaccine antigen variants and cross-reactivity: Identifies specific meningococcal vaccine antigen variants and evaluates their immunological cross-reactivity.
- Assessment of antigen expression levels: Incorporates information on antigen expression levels to inform predictions of vaccine effectiveness.
- Estimation of susceptibility to antibody-dependent bactericidal killing: Estimates the likelihood that antigen variants will be neutralized by antibody-dependent bactericidal killing based on curated and experimental data.
Scientific Applications:
- IMD outbreak vaccine selection: Aids vaccine selection decisions during serogroup B IMD outbreaks by assessing antigen variant presence and predicted reactivity.
- Characterization of vaccine antigen variants: Identifies and catalogs vaccine antigen variants within meningococcal isolates for surveillance and comparative analyses.
- Informing vaccine efficacy predictions: Combines antigen expression and cross-reactivity data to estimate susceptibility to antibody-dependent bactericidal killing and support evidence-based vaccine efficacy assessments.
Methodology:
Processes whole-genome sequences or individual gene sequences from IMD isolates or clinical specimens and integrates these data with curated information on meningococcal genome diversity and provenance to generate evidence-based assessments of vaccine antigen reactivity.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 2/20/2021
Operations
Publications
Read RC, Baxter D, Chadwick DR, Faust SN, Finn A, Gordon SB, Heath PT, Lewis DJM, Pollard AJ, Turner DPJ, et al. (9960):2123-2131. doi:10.1016/s0140-6736(14)60842-4. PMID:33055180. PMCID:PMC7771438.