Evidence map›Paper›PMID 34581761›Full record

ReviewBiochemical Society transactions2021

The pockets guide to HLA class I molecules.

Andrea T Nguyen, Christopher Szeto, Stephanie Gras

Open access · hybridAbstract readReview
In one paragraph

Review in Biochemical Society transactions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% 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

85 citing papers in PubMed, 1 synthesis or guideline pooled it, 127 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Skewed MHC Class I Peptide Presentation in Psoriatic Arthritis.International journal of molecular sciences · 2026
    Article
  5. Technical review of artificial intelligence in TCR-T therapy.Journal of the National Cancer Center · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Validation ofACS central science · 2026
    Article
  10. Article
  11. HLA-B*44 Alleles and HLA-DQA1*03:01 as Genetic Risk Factors for Drug-Induced Liver Injury due to Fluoroquinolones.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  12. Article
  13. Molecular origin, discovery, validation and application of neoantigens.Asian journal of pharmaceutical sciences · 2026
    Review
  14. Review
  15. Review
  16. Article
  17. Assessing CD8Clinical & translational immunology · 2026
    Article
  18. Article
  19. Article
  20. Review

25 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

3 authors at 1 institution in 1 country.

Andrea T NguyenDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria 3083, Australia.
Christopher SzetoDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria 3083, Australia.
Stephanie GrasDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria 3083, Australia.ORCID 0000-0001-7416-038X
La Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human leukocyte antigens (HLA) are cell-surface proteins that present peptides to T cells. These peptides are bound within the peptide binding cleft of HLA, and together as a complex, are recognised by T cells using their specialised T cell receptors. Within the cleft, the peptide residue side chains bind into distinct pockets. These pockets ultimately determine the specificity of peptide binding. As HLAs are the most polymorphic molecules in humans, amino acid variants in each binding pocket influences the peptide repertoire that can be presented on the cell surface. Here, we review each of the 6 HLA binding pockets of HLA class I (HLA-I) molecules. The binding specificity of pockets B and F are strong determinants of peptide binding and have been used to classify HLA into supertypes, a useful tool to predict peptide binding to a given HLA. Over the years, peptide binding prediction has also become more reliable by using binding affinity and mass spectrometry data. Crystal structures of peptide-bound HLA molecules provide a means to interrogate the interactions between binding pockets and peptide residue side chains. We find that most of the bound peptides from these structures conform to binding motifs determined from prediction software and examine outliers to learn how these HLAs are stabilised from a structural perspective.

Indexed as

Amino Acid SequenceCrystallography, X-RayHistocompatibility Antigens Class IHumansPeptidesProtein BindingHistocompatibility Antigens Class IPeptidesepitope presentationHLAHLA classificationpeptidepeptide binding motif

Identifiers

PMID34581761
PMCPMC8589423
OpenAlexW3202574962

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.