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Vaccinomics-driven proteome-wide screening of <i>Haemophilus influenzae</i> for the prediction of common putative vaccine candidates

2021· article· en· 3 citations· W3181510741 on OpenAlex· 10.1139/cjm-2020-0535

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian venueIt was published in a Canadian venue.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

The three-model screen

all 1,000 screened works →

All three models called this out of scope.

stratum: venue_new · design weight: 2684.25 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Proteome wide screening for vaccine candidates; the object is bacterial immunogenicity.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

The work predicts vaccine candidates for Haemophilus influenzae rather than studying research practice.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

In silico vaccine-candidate discovery for H. influenzae is biomedical domain science using methods, not studying methods.

Abstract

Haemophilus influenzae colonizes the respiratory tract and is associated with life-threatening invasive infections. The recent rise in its global prevalence, even in the presence of multiple vaccines, indicates an urgent need to develop effective cross-strain vaccine strategies. Our work focused on identifying the universally conserved antigenic regions of H. influenzae that can be used to develop new vaccines. A variety of bioinformatics tools were applied for the comprehensive geno-proteomic analysis of H. influenzae type a strain, as reference serotype, through which subcellular localization, essentiality, virulence, and non-host homology were determined. B and T cell epitope mapping of the 3D protein structures were performed. Thereafter, molecular docking with HLA_DRB1*0101 and comparative genome analysis established the candidature of the identified regions. Based on the established vaccinomics criteria, five target proteins were predicted as novel vaccine candidates. Among these, nine epitopic regions that could regulate lymphocyte activity through strong protein–protein interactions were identified. Comparative genomic analysis revealed that the identified regions were highly conserved among the different strains of H. influenzae. Based on multiple immunogenic factors, five prioritized proteins and their predicted epitopes were identified as ideal common putative vaccine candidates against typeable strains.

Stored with the screening record, where it is evidence for the labels above.

The record

Venue
Canadian Journal of Microbiology
Topic
vaccines and immunoinformatics approaches
Field
Biochemistry, Genetics and Molecular Biology
Canadian institutions
Funders
Keywords
Haemophilus influenzaeBiologyProteomeEpitopeVirulenceGenomeComputational biologySerotypeComparative genomicsMicrobiologyGeneticsVirologyAntigenGenomicsGeneBacteria
Has abstract in OpenAlex
yes