Evidence map›Paper›PMID 32482711›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2020

HLA Class II Specificity Assessed by High-Density Peptide Microarray Interactions.

Thomas Osterbye, Morten Nielsen, Nadine L Dudek, Sri H Ramarathinam, Anthony W Purcell, Claus Schafer-Nielsen, Soren Buus

Open access · bronzeAbstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Computational Methods for Cancer Neoantigen Prediction.Methods in molecular biology (Clifton, N.J.) · 2026
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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 4 institutions in 5 countries.

Thomas OsterbyeDepartment of Immunology and Microbiology, University of Copenhagen, DK-2200 Copenhagen, Denmark; thos@sund.ku.dk.ORCID 0000-0002-1449-8036
Morten NielsenDepartment of Health Technology, Technical University of Denmark, DK-2800 Lyngby, Denmark.ORCID 0000-0001-7885-4311
Nadine L DudekInfection and Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia; and.
Sri H RamarathinamInfection and Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia; and.ORCID 0000-0002-2787-1282
Anthony W PurcellInfection and Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia; and.ORCID 0000-0003-0532-8331
Claus Schafer-NielsenSchafer-N, DK-2100 Copenhagen, Denmark.
Soren BuusDepartment of Immunology and Microbiology, University of Copenhagen, DK-2200 Copenhagen, Denmark.ORCID 0000-0001-8363-1999
Discovery Institute · USUniversity of Copenhagen · DKNational University of General San Martín · ARSchafer-N (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to predict and/or identify MHC binding peptides is an essential component of T cell epitope discovery, something that ultimately should benefit the development of vaccines and immunotherapies. In particular, MHC class I prediction tools have matured to a point where accurate selection of optimal peptide epitopes is possible for virtually all MHC class I allotypes; in comparison, current MHC class II (MHC-II) predictors are less mature. Because MHC-II restricted CD4

Indexed as

Protein Array AnalysisB-LymphocytesEpitope MappingEpitopes, T-LymphocyteFeasibility StudiesHerpesvirus 4, HumanHLA-DR AntigensHumansPeptidesProtein BindingEpitopes, T-LymphocyteHLA-DR AntigensPeptides

Identifiers

PMID32482711
PMCPMC7313418
OpenAlexW3031013384

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.