Evidence map›Paper›PMID 21047510›Full record

ReviewJournal of immunological methods2011

Applications for T-cell epitope queries and tools in the Immune Epitope Database and Analysis Resource.

Yohan Kim, Alessandro Sette, Bjoern Peters

Abstract readReview
In one paragraph

Review in Journal of immunological methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  12. BioImpacts : BI · 2019
    Article
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  15. How the immune system responds to therapeutic biological agents.The Journal of international medical research · 2016
    Article
  16. Extensive CD4 and CD8 T Cell Cross-Reactivity between Alphaherpesviruses.Journal of immunology (Baltimore, Md. : 1950) · 2016
    Article
  17. 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.

Yohan KimLa Jolla Institute for Allergy & Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
Alessandro Sette
Bjoern Peters

Funding

NIAID NIH HHS HHSH266200400006CPHS HHS HHSN26620040006C
6 · The paper itself

Abstract

The Immune Epitope Database and Analysis Resource (IEDB, http://www.iedb.org) hosts a continuously growing set of immune epitope data curated from the literature, as well as data submitted directly by experimental scientists. In addition, the IEDB hosts a collection of prediction tools for both MHC class I and II restricted T-cell epitopes that are regularly updated. In this review, we provide an overview of T-cell epitope data and prediction tools provided by the IEDB. We then illustrate effective use of these resources to support experimental studies. We focus on two applications, namely identification of conserved epitopes in novel strains of a previously studied pathogen, and prediction of novel T-cell epitopes to facilitate vaccine design. We address common questions and concerns faced by users, and identify patterns of usage that have proven successful.

Indexed as

Databases, ProteinEpitopes, T-LymphocyteHumansImmunologic TechniquesRNA VirusesUser-Computer InterfaceVaccines, SubunitViral VaccinesEpitopes, T-LymphocyteVaccines, SubunitViral Vaccines

Identifiers

PMID21047510
PMCPMC3041860

What OpenQuestion holds

Textmetadata
LicenceTDM
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.