Evidence map›Paper›PMID 38390326›Full record

ArticleFrontiers in immunology2024

DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations.

Magnus Haraldson Høie, Frederik Steensgaard Gade, Julie Maria Johansen, Charlotte Würtzen, Ole Winther, Morten Nielsen, Paolo Marcatili

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing 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

94 citing papers in PubMed.

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  20. Phylogenetic Analyses ofMicroorganisms · 2026
    Article

34 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

7 authors.

Magnus Haraldson HøieDepartment of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark.
Frederik Steensgaard GadeDepartment of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark.
Julie Maria JohansenDepartment of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark.
Charlotte WürtzenDepartment of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark.
Ole WintherSection for Cognitive Systems, DTU Compute, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark.
Morten Nielsen *Department of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark.
Paolo Marcatili *Department of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark.

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

Accurate computational identification of B-cell epitopes is crucial for the development of vaccines, therapies, and diagnostic tools. However, current structure-based prediction methods face limitations due to the dependency on experimentally solved structures. Here, we introduce DiscoTope-3.0, a markedly improved B-cell epitope prediction tool that innovatively employs inverse folding structure representations and a positive-unlabelled learning strategy, and is adapted for both solved and predicted structures. Our tool demonstrates a considerable improvement in performance over existing methods, accurately predicting linear and conformational epitopes across multiple independent datasets. Most notably, DiscoTope-3.0 maintains high predictive performance across solved, relaxed and predicted structures, alleviating the need for experimental structures and extending the general applicability of accurate B-cell epitope prediction by 3 orders of magnitude. DiscoTope-3.0 is made widely accessible on two web servers, processing over 100 structures per submission, and as a downloadable package. In addition, the servers interface with RCSB and AlphaFoldDB, facilitating large-scale prediction across over 200 million cataloged proteins. DiscoTope-3.0 is available at: https://services.healthtech.dtu.dk/service.php?DiscoTope-3.0.

Indexed as

Epitopes, B-LymphocyteMolecular ConformationEpitopes, B-Lymphocyteantibody epitope predictionB cell epitope predictionESM-IF1immunogenicity predictioninverse-foldingstructure-basedvaccine design

Identifiers

PMID38390326
PMCPMC10882062

What OpenQuestion holds

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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.