Evidence map›Paper›PMID 40885731›Full record

ReviewNPJ vaccines2025

AI-driven epitope prediction: a system review, comparative analysis, and practical guide for vaccine development.

Francisca Villanueva-Flores, Javier I Sanchez-Villamil, Igor Garcia-Atutxa

Erratum issuedAbstract readReview
In one paragraph

Review in NPJ vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

  1. Pooled it
  2. Review
  3. Pangenome-GuidedPharmaceuticals (Basel, Switzerland) · 2026
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  7. Unravelling the pathogenesis and therapeutic approaches of pancreatic ductal adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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  18. Global vaccine development.Nature medicine · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Francisca Villanueva-FloresCentro de Investigación en Ciencia Aplicada y Tecnología Avanzada (CICATA) Unidad Morelos del Instituto Politécnico Nacional (IPN), Xochitepec, Mexico. fvillanuevaf@ipn.mx.ORCID http://orcid.org/0000-0001-6092-4211
Javier I Sanchez-VillamilCentro de Investigación en Ciencia Aplicada y Tecnología Avanzada (CICATA) Unidad Morelos del Instituto Politécnico Nacional (IPN), Xochitepec, Mexico.ORCID http://orcid.org/0000-0003-4928-5994
Igor Garcia-AtutxaUniversidad Católica de Murcia (UCAM), Av. de los Jerónimos, Murcia, Spain.ORCID http://orcid.org/0009-0002-1551-2685

Funding

Secretaría de Investigación y Posgrado, Instituto Politécnico Nacional 20240609Secretaría de Investigación y Posgrado, Instituto Politécnico Nacional SIP20242814
6 · The paper itself

Abstract

Integrating AI into epitope prediction is transforming vaccine design by delivering unprecedented accuracy, speed, and efficiency. This review synthesizes recent breakthroughs particularly CNNs, transformers, and GNNs highlighting experimentally validated models like MUNIS and GraphBepi that reveal previously overlooked epitopes. By benchmarking AI tools against traditional methods, we identify structural data integration as pivotal, offering practical strategies to translate computational predictions into actionable experimental workflows for next-generation vaccines.

Identifiers

PMID40885731
PMCPMC12398602

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.