Evidence map›Paper›PMID 31741011›Full record

ReviewImmunogenetics2020

An overview of immunoinformatics approaches and databases linking T cell receptor repertoires to their antigen specificity.

Ivan V Zvyagin, Vasily O Tsvetkov, Dmitry M Chudakov, Mikhail Shugay

Abstract readReview
PubMed Publisher
In one paragraph

Review in Immunogenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Computational Methods for Cancer Neoantigen Prediction.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Review
  4. Computational vaccine development against protozoa.Computational and structural biotechnology journal · 2025
    Review
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  10. Review
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  15. Review
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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 1 country.

Ivan V ZvyaginPirogov Russian Medical State University, Moscow, Russia.
Vasily O TsvetkovShemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Dmitry M ChudakovPirogov Russian Medical State University, Moscow, Russia.
Mikhail ShugayPirogov Russian Medical State University, Moscow, Russia. mikhail.shugay@gmail.com.
Institute of Bioorganic Chemistry · RUPirogov Russian National Research Medical University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in molecular and bioinformatic methods have greatly improved our ability to study the formation of an adaptive immune response towards foreign pathogens, self-antigens, and cancer neoantigens. T cell receptors (TCR) are the key players in this process that recognize peptides presented by major histocompatibility complex (MHC). Owing to the huge diversity of both TCR sequence variants and peptides they recognize, accumulation and complex analysis of large amounts of TCR-antigen specificity data is required for understanding the structure and features of adaptive immune responses towards pathogens, vaccines, cancer, as well as autoimmune responses. In the present review, we summarize recent efforts on gathering and interpreting TCR-antigen specificity data and outline the critical role of tighter integration with other immunoinformatics data sources that include epitope MHC restriction, TCR repertoire structure models, and TCR/peptide/MHC structural data. We suggest that such integration can lead to the ability to accurately annotate individual TCR repertoires, efficiently estimate epitope and neoantigen immunogenicity, and ultimately, in silico identify TCRs specific to yet unstudied antigens and predict self-peptides related to autoimmunity.

Indexed as

Databases, ProteinAnimalsComputational BiologyEpitopes, T-LymphocyteHumansReceptors, Antigen, T-CellT-Cell Antigen Receptor SpecificityEpitopes, T-LymphocyteReceptors, Antigen, T-CellAntigen specificityEpitopeImmune repertoire sequencingMHCT cell receptor

Identifiers

PMID31741011
OpenAlexW2987497707

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.