Evidence map›Paper›PMID 42565702›Full record

ReviewImmunological reviews2026

What Does the Shape Space of T Cell Epitopes Look Like?

Franka Buytenhuijs, Gijs Schröder, Johannes Textor

Abstract readReview
In one paragraph

Review in Immunological reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Franka BuytenhuijsData Science, Institute for Computing and Information Sciences, Radboud University, Nijmegen, the Netherlands.ORCID https://orcid.org/0009-0001-0626-9540
Gijs SchröderData Science, Institute for Computing and Information Sciences, Radboud University, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0001-6803-3237
Johannes TextorData Science, Institute for Computing and Information Sciences, Radboud University, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0002-0459-9458

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek VI.Vidi.194.084ZonMw 10710062310009
6 · The paper itself

Abstract

Shape space is a decades-old conceptual model of antibody-antigen interactions that underlies antigenic maps used to trace viral evolution. Here, we apply this concept to T cell receptors (TCRs) and the peptide-MHC complexes (pMHCs) that they recognize. We start by reviewing the history of shape space and its deep connections to concepts in statistical physics (energy landscapes) and computer science (complexity theory). Leveraging these connections, we propose a model in which TCR-pMHC binding relies on multiple, possibly conflicting, structural constraints-implying that pMHCs recognized by the same TCR occupy several disjoint, non-convex regions in shape space. Our model makes two central predictions: (1) even small pMHC structure alterations can have major effects on immunogenicity; (2) two pMHCs recognized by the same TCR can have very different structures. We show that published TCR-pMHC interaction data generated by mutagenesis assays lend some support for this idea. We conclude by discussing implications of a multispecific and non-convex T cell epitope shape space for the prediction of immune responses in cancer immunotherapy and other applications.

Indexed as

Epitopes, T-LymphocyteReceptors, Antigen, T-CellT-LymphocytesAnimalsHumansImmunoinformaticsMajor Histocompatibility ComplexModels, ImmunologicalProtein BindingProtein ConformationEpitopes, T-LymphocyteReceptors, Antigen, T-Cell

Identifiers

PMID42565702
PMCPMC13449878

What OpenQuestion holds

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LicenceCC BY
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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.