ReviewFrontiers in immunology2026
Is the reverse vaccinology idea becoming exhausted?
Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Immunoinformatics-driven multi-epitope vaccine design as a promising strategy against multidrug-resistant pathogens: a comprehensive review.Folia microbiologica · 2026Review
- Integrating biocomputational techniques for vaccine development for glioblastoma multiforme: a possible way of enhancing precision.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reverse vaccinology (RV) was originally conceived to leverage genomic information for antigen selection and promised a paradigm change in vaccine design. After a steady increment since 2000 and surge in 2021, RV-related publications have recently plateaued, accompanied by declining journal impact factors and a shift from immunology and microbiology to more technical and general categories. Despite its potential and a favorable data science scenario, the impact of RV on the vaccine portfolio concerning pandemics, antimicrobial resistant pathogens and calendar campaigns remains almost negligible. The lack of multidisciplinary collaboration in many RV studies has led to a predominance of purely theoretical studies without experimental validation, likely contributing to waning interest within the broader vaccinology community. For instance, a growing fraction of RV studies focuses on multi-epitope constructs, which limited successful antecedents make their performance questionable in practice. Additionally, target pathogens are increasingly redundant with existing vaccines or of marginal immediate relevance, further fueling skepticism about RV's real-world value. This decoupling underscores the need to renew the original idea by integrating RV with complementary frameworks such as systems vaccinology, network vaccinology, and artificial intelligence, as well as embedding RV within higher-order experimental and translational efforts. Furthermore, policymakers and the pharmaceutical sector have relied almost exclusively on classical antigenic elements such as attenuated or inactivated microorganisms, capsular components and fimbria proteins. Importantly, alignment with key stakeholders is essential to bridge early computational insights with late-stage vaccine development. Without this integration to cover the whole vaccine lifecycle, RV risks losing relevance.
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Identifiers
What OpenQuestion holds
Registered trials
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.