Evidence map›Paper›PMID 26416257›Full record

ArticleImmunogenetics2015

Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification.

Massimo Andreatta, Edita Karosiene, Michael Rasmussen, Anette Stryhn, Søren Buus, Morten Nielsen

Abstract read
In one paragraph

Article in Immunogenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 2 pooled it
–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

178 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Personalizing DNA Cancer Vaccines.Journal of personalized medicine · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Designing a vaccine candidate against egg drop syndrome virus: anVeterinary research forum : an international quarterly journal · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

118 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

6 authors.

Massimo AndreattaInstituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, CP(1650), San Martín, Buenos Aires, Argentina.
Edita KarosieneDivision of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, 92037, USA.
Michael RasmussenLaboratory of Experimental Immunology, Faculty of Health Sciences, University of Copenhagen, DK-2200, Copenhagen, Denmark.
Anette StryhnLaboratory of Experimental Immunology, Faculty of Health Sciences, University of Copenhagen, DK-2200, Copenhagen, Denmark.
Søren BuusLaboratory of Experimental Immunology, Faculty of Health Sciences, University of Copenhagen, DK-2200, Copenhagen, Denmark.
Morten NielsenInstituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, CP(1650), San Martín, Buenos Aires, Argentina. mniel@cbs.dtu.dk.

Funding

NIAID NIH HHS HHSN272201200010CPHS HHS HHSN272201200010C
6 · The paper itself

Abstract

A key event in the generation of a cellular response against malicious organisms through the endocytic pathway is binding of peptidic antigens by major histocompatibility complex class II (MHC class II) molecules. The bound peptide is then presented on the cell surface where it can be recognized by T helper lymphocytes. NetMHCIIpan is a state-of-the-art method for the quantitative prediction of peptide binding to any human or mouse MHC class II molecule of known sequence. In this paper, we describe an updated version of the method with improved peptide binding register identification. Binding register prediction is concerned with determining the minimal core region of nine residues directly in contact with the MHC binding cleft, a crucial piece of information both for the identification and design of CD4(+) T cell antigens. When applied to a set of 51 crystal structures of peptide-MHC complexes with known binding registers, the new method NetMHCIIpan-3.1 significantly outperformed the earlier 3.0 version. We illustrate the impact of accurate binding core identification for the interpretation of T cell cross-reactivity using tetramer double staining with a CMV epitope and its variants mapped to the epitope binding core. NetMHCIIpan is publicly available at http://www.cbs.dtu.dk/services/NetMHCIIpan-3.1 .

Indexed as

Neural Networks, ComputerAlgorithmsAmino Acid SequenceAnimalsBinding SitesCluster AnalysisComputational BiologyDatabases, ProteinEpitopesHistocompatibility Antigens Class IIHumansMiceModels, MolecularMolecular Sequence DataPeptide FragmentsProtein BindingEpitopesHistocompatibility Antigens Class IIPeptide FragmentsArtificial neural networksBinding coreMHC class IIPeptide bindingPeptide-MHCT cell cross-reactivity

Identifiers

PMID26416257
PMCPMC4637192

What OpenQuestion holds

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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.