Evidence map›Paper›PMID 32045313›Full record

ReviewAnnual review of immunology2020

T Cell Epitope Predictions.

Bjoern Peters, Morten Nielsen, Alessandro Sette

Abstract readReview
In one paragraph

Review in Annual review of immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 163 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 1 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

163 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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103 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.

Bjoern PetersDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California 92037, USA; email: bpeters@lji.org, alex@lji.org.
Morten NielsenDepartment of Health Technology, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark; email: morni@dtu.dk.
Alessandro SetteDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California 92037, USA; email: bpeters@lji.org, alex@lji.org.

Funding

IMMUNE EPITOPE AND ANALYSIS PROGRAM: Transplantation of organs, tissues and cells 75N93019C00001 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI WILSON, STEPHEN · 2019 to 2025
$23.1M
NIAID NIH HHS 75N93019C00001
6 · The paper itself

Abstract

Throughout the body, T cells monitor MHC-bound ligands expressed on the surface of essentially all cell types. MHC ligands that trigger a T cell immune response are referred to as T cell epitopes. Identifying such epitopes enables tracking, phenotyping, and stimulating T cells involved in immune responses in infectious disease, allergy, autoimmunity, transplantation, and cancer. The specific T cell epitopes recognized in an individual are determined by genetic factors such as the MHC molecules the individual expresses, in parallel to the individual's environmental exposure history. The complexity and importance of T cell epitope mapping have motivated the development of computational approaches that predict what T cell epitopes are likely to be recognized in a given individual or in a broader population. Such predictions guide experimental epitope mapping studies and enable computational analysis of the immunogenic potential of a given protein sequence region.

Indexed as

AnimalsBiomarkersComputational BiologyDisease SusceptibilityEpitopes, T-LymphocyteHistocompatibility AntigensHumansLigandsMachine LearningProtein BindingT-LymphocytesBiomarkersEpitopes, T-LymphocyteHistocompatibility AntigensLigandsbenchmarkingdatabasesimmune epitopesmachine learningT cells

Identifiers

PMID32045313
PMCPMC10878398

What OpenQuestion holds

Textmetadata
LicenceTDM
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.