Evidence map›Paper›PMID 22013383›Full record

ReviewJournal of biomedicine & biotechnology2011

Computational vaccinology: an important strategy to discover new potential S. mansoni vaccine candidates.

Carina S Pinheiro, Vicente P Martins, Natan R G Assis, Bárbara C P Figueiredo, Suellen B Morais, Vasco Azevedo, Sergio C Oliveira

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of biomedicine & biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Lessons from the genomes and transcriptomes of filarial nematodes.Molecular and biochemical parasitology · 2017
    Review
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  5. Article
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  7. Article
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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

7 authors at 2 institutions in 1 country.

Carina S PinheiroDepartamento de Bioquímica, Imunologia do Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte, MG, Brazil.
Vicente P Martins
Natan R G Assis
Bárbara C P Figueiredo
Suellen B Morais
Vasco Azevedo
Sergio C Oliveira
Universidade Federal de Minas Gerais · BRInstituto Nacional de Ciência e Tecnologia de Doenças Tropicais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The flatworm Schistosoma mansoni is a blood fluke parasite that causes schistosomiasis, a debilitating disease that occurs throughout the developing world. Current schistosomiasis control strategies are mainly based on chemotherapy, but many researchers believe that the best long-term strategy to control schistosomiasis is through immunization with an antischistosomiasis vaccine combined with drug treatment. Several papers on Schistosoma mansoni vaccine and drug development have been published in the past few years, representing an important field of study. The advent of technologies that allow large-scale studies of genes and proteins had a remarkable impact on the screening of new and potential vaccine candidates in schistosomiasis. In this postgenomic scenario, bioinformatic technologies have emerged as important tools to mine transcriptomic, genomic, and proteomic databases. These new perspectives are leading to a new round of rational vaccine development. Herein, we discuss different strategies to identify potential S. mansoni vaccine candidates using computational vaccinology.

Indexed as

AnimalsAntiparasitic AgentsComputational BiologyDrug DiscoveryHelminth ProteinsHumansMembrane ProteinsProteomicsSchistosoma mansoniSchistosomiasisSequence Analysis, DNASequence Analysis, ProteinVaccinationVaccinesAntiparasitic AgentsHelminth ProteinsMembrane ProteinsVaccines

Identifiers

PMID22013383
PMCPMC3196198
OpenAlexW2125423451

What OpenQuestion holds

Textmetadata
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.