Evidence map›Paper›PMID 22610854›Full record

ArticleNucleic acids research2012

Immune epitope database analysis resource.

Yohan Kim, Julia Ponomarenko, Zhanyang Zhu, Dorjee Tamang, Peng Wang, Jason Greenbaum, Claus Lundegaard, Alessandro Sette, Ole Lund, Philip E Bourne and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 265 papers.

0numbers the graph read from it
0cells of the map it votes in
265citing 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

265 citing papers in PubMed.

  1. Trial
  2. Class I-restricted T-cell responses to a polymorphic peptide in a gene therapy clinical trial for α-1-antitrypsin deficiency.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Trial
  3. Review
  4. Acta pharmaceutica Sinica. B · 2026
    Review
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205 more citing papers are in PubMed but not listed here.

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

12 authors.

Yohan KimLa Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
Julia Ponomarenko
Zhanyang Zhu
Dorjee Tamang
Peng Wang
Jason Greenbaum
Claus Lundegaard
Alessandro Sette
Ole Lund
Philip E Bourne
Morten Nielsen
Bjoern Peters

Funding

NIAID NIH HHS HHSH266200400006CNIAID NIH HHS HHSN272201200010CPHS HHS 272201200010C
6 · The paper itself

Abstract

The immune epitope database analysis resource (IEDB-AR: http://tools.iedb.org) is a collection of tools for prediction and analysis of molecular targets of T- and B-cell immune responses (i.e. epitopes). Since its last publication in the NAR webserver issue in 2008, a new generation of peptide:MHC binding and T-cell epitope predictive tools have been added. As validated by different labs and in the first international competition for predicting peptide:MHC-I binding, their predictive performances have improved considerably. In addition, a new B-cell epitope prediction tool was added, and the homology mapping tool was updated to enable mapping of discontinuous epitopes onto 3D structures. Furthermore, to serve a wider range of users, the number of ways in which IEDB-AR can be accessed has been expanded. Specifically, the predictive tools can be programmatically accessed using a web interface and can also be downloaded as software packages.

Indexed as

SoftwareEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansInternetPeptidesStructural Homology, ProteinEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class IIPeptides

Identifiers

PMID22610854
PMCPMC3394288

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.