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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 sur OpenAlex· 10.1139/cjm-2020-0535

Pourquoi ce travail est-il dans la base ?

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

Revue canadienneIl a paru dans une revue canadienne.

Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Le tri à trois modèles

les 1 000 travaux triés →

Les trois modèles l'ont jugé hors champ.

strate : venue_new · poids de sondage : 2684.25 (l'échantillon est stratifié ; tout taux calculé sans le poids est faux)
Claude Opus 4.8OUT
genre : empirical
porte sur le Canada: non
confiance: high

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

GPT-5.6 (high)OUT
genre : empirical
porte sur le Canada: non
confiance: high

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

Grok 4.5OUT
genre : empirical
porte sur le Canada: non
confiance: high

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

Résumé

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.

Conservé avec la notice de tri, où il sert de preuve aux étiquettes ci-dessus.

La notice

Revue
Canadian Journal of Microbiology
Thématique
vaccines and immunoinformatics approaches
Domaine
Biochemistry, Genetics and Molecular Biology
Établissements canadiens
Organismes subventionnaires
Mots-clés
Haemophilus influenzaeBiologyProteomeEpitopeVirulenceGenomeComputational biologySerotypeComparative genomicsMicrobiologyGeneticsVirologyAntigenGenomicsGeneBacteria
Résumé présent dans OpenAlex
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