Evidence map›Paper›PMID 36700202›Full record

ArticleFrontiers in immunology2022

Computationally profiling peptide:MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodies.

Matthew I J Raybould, Daniel A Nissley, Sandeep Kumar, Charlotte M Deane

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Matthew I J RaybouldOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Daniel A NissleyOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Sandeep KumarBiotherapeutics Discovery, Boehringer Ingelheim, Ridgefield, CT, United States.
Charlotte M DeaneOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
University of Oxford · GBBoehringer Ingelheim (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T-cell receptor-mimetic antibodies (TCRms) targeting disease-associated peptides presented by Major Histocompatibility Complexes (pMHCs) are set to become a major new drug modality. However, we lack a general understanding of how TCRms engage pMHC targets, which is crucial for predicting their specificity and safety. Several new structures of TCRm:pMHC complexes have become available in the past year, providing sufficient initial data for a holistic analysis of TCRms as a class of pMHC binding agents. Here, we profile the complete set of TCRm:pMHC complexes against representative TCR:pMHC complexes to quantify the TCR-likeness of their pMHC engagement. We find that intrinsic molecular differences between antibodies and TCRs lead to fundamentally different roles for their heavy/light chains and Complementarity-Determining Region loops during antigen recognition. The idiotypic properties of antibodies may increase the likelihood of TCRms engaging pMHCs with less peptide selectivity than TCRs. However, the pMHC recognition features of some TCRms, including the two TCRms currently in clinical trials, can be remarkably TCR-like. The insights gained from this study will aid in the rational design and optimisation of next-generation TCRms.

Indexed as

PeptidesReceptors, Antigen, T-CellAntibodiesComplementarity Determining RegionsHistocompatibility AntigensMajor Histocompatibility ComplexAntibodiesComplementarity Determining RegionsHistocompatibility AntigensPeptidesReceptors, Antigen, T-CellantibodyHLAMHCmimeticpeptidestructural biologyTCRTCR-likeness

Identifiers

PMID36700202
PMCPMC9868621
OpenAlexW4313890293

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.