Evidence map›Paper›PMID 32431712›Full record

ArticleFrontiers in immunology2020

EpitoCore: Mining Conserved Epitope Vaccine Candidates in the Core Proteome of Multiple Bacteria Strains.

Tayna S Fiuza, João P M S Lima, Gustavo A de Souza

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
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  4. Immunity againstVaccines · 2021
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Tayna S FiuzaBioinformatics Multidisciplinary Environment, Universidade Federal do Rio Grande Do Norte-UFRN, Natal, Brazil.
João P M S LimaBioinformatics Multidisciplinary Environment, Universidade Federal do Rio Grande Do Norte-UFRN, Natal, Brazil.
Gustavo A de SouzaBioinformatics Multidisciplinary Environment, Universidade Federal do Rio Grande Do Norte-UFRN, Natal, Brazil.
Universidade Federal do Rio Grande do Norte · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In reverse vaccinology approaches, complete proteomes of bacteria are submitted to multiple computational prediction steps in order to filter proteins that are possible vaccine candidates. Most available tools perform such analysis only in a single strain, or a very limited number of strains. But the vast amount of genomic data had shown that most bacteria contain pangenomes, i.e., their genomic information contains core, conserved genes, and random accessory genes specific to each strain. Therefore, in reverse vaccinology methods it is of the utmost importance to define core proteins and core epitopes. EpitoCore is a decision-tree pipeline developed to fulfill that need. It provides surfaceome prediction of proteins from related strains, defines core proteins within those, calculate their immunogenicity, predicts epitopes for a given set of MHC alleles defined by the user, and then reports if epitopes are located extracellularly and if they are conserved among the core homologs. Pipeline performance is illustrated by mining peptide vaccine candidates in

Indexed as

AllelesAntigens, BacterialBacterial VaccinesComputational BiologyEpitopesGenome, BacterialGenomicsHistocompatibility Antigens Class IHumansMycobacteriumMycobacterium InfectionsProteomeVaccines, SubunitVaccinologyVirulenceAntigens, BacterialBacterial VaccinesEpitopesHistocompatibility Antigens Class IProteomeVaccines, Subunitbioinformaticsepitope predictionpangenomeprokaryotesreverse vaccinologyvaccine candidates

Identifiers

PMID32431712
PMCPMC7214623
OpenAlexW3022705040

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.