Evidence map›Paper›PMID 23878584›Full record

ReviewClinical & developmental immunology2013

Peptide-based vaccinology: experimental and computational approaches to target hypervariable viruses through the fine characterization of protective epitopes recognized by monoclonal antibodies and the identification of T-cell-activating peptides.

Matteo Castelli, Francesca Cappelletti, Roberta Antonia Diotti, Giuseppe Sautto, Elena Criscuolo, Matteo Dal Peraro, Nicola Clementi

Abstract readReview
In one paragraph

Review in Clinical & developmental immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Nanotheranostics against COVID-19: From multivalent to immune-targeted materials.Journal of controlled release : official journal of the Controlled Release Society · 2020
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
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  11. Article
  12. Article
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  14. Review
  15. Article
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.

Matteo CastelliMicrobiology and Virology Institute, Vita-Salute San Raffaele University, 20132 Milan, Italy.
Francesca Cappelletti
Roberta Antonia Diotti
Giuseppe Sautto
Elena Criscuolo
Matteo Dal Peraro
Nicola Clementi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Defining immunogenic domains of viral proteins capable of eliciting a protective immune response is crucial in the development of novel epitope-based prophylactic strategies. This is particularly important for the selective targeting of conserved regions shared among hypervariable viruses. Studying postinfection and postimmunization sera, as well as cloning and characterization of monoclonal antibodies (mAbs), still represents the best approach to identify protective epitopes. In particular, a protective mAb directed against conserved regions can play a key role in immunogen design and in human therapy as well. Experimental approaches aiming to characterize protective mAb epitopes or to identify T-cell-activating peptides are often burdened by technical limitations and can require long time to be correctly addressed. Thus, in the last decade many epitope predictive algorithms have been developed. These algorithms are continually evolving, and their use to address the empirical research is widely increasing. Here, we review several strategies based on experimental techniques alone or addressed by in silico analysis that are frequently used to predict immunogens to be included in novel epitope-based vaccine approaches. We will list the main strategies aiming to design a new vaccine preparation conferring the protection of a neutralizing mAb combined with an effective cell-mediated response.

Indexed as

AnimalsAntibodies, MonoclonalAntibodies, ViralEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunity, HumoralLymphocyte ActivationPeptidesT-Lymphocyte SubsetsVaccines, SubunitViral VaccinesAntibodies, MonoclonalAntibodies, ViralEpitopes, B-LymphocyteEpitopes, T-LymphocytePeptidesVaccines, SubunitViral Vaccines

Identifiers

PMID23878584
PMCPMC3710646

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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.