Evidence map›Paper›PMID 41502688›Full record

ArticleACS omega2025

In Silico Characterization of Conserved Epitopes in Alphavirus E2 Proteins: A Promising Approach for Pan-vaccine Design.

Ubiratan da Silva Batista, Ana Clara Gomes de Souza, Breno de Mello Silva, Ricardo Lemes Gonçalves

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ubiratan da Silva BatistaLaboratory of Biology and Technology of Microorganisms (LBTM), Department of Biological Sciences, Federal University of Ouro Preto (UFOP), Ouro Preto, MG 35400-000, Brazil.ORCID https://orcid.org/0000-0001-8850-9052
Ana Clara Gomes de SouzaLaboratory of Biology and Technology of Microorganisms (LBTM), Department of Biological Sciences, Federal University of Ouro Preto (UFOP), Ouro Preto, MG 35400-000, Brazil.
Breno de Mello SilvaLaboratory of Biology and Technology of Microorganisms (LBTM), Department of Biological Sciences, Federal University of Ouro Preto (UFOP), Ouro Preto, MG 35400-000, Brazil.ORCID https://orcid.org/0000-0003-2472-8111
Ricardo Lemes GonçalvesLaboratory of Biology and Technology of Microorganisms (LBTM), Department of Biological Sciences, Federal University of Ouro Preto (UFOP), Ouro Preto, MG 35400-000, Brazil.ORCID https://orcid.org/0000-0002-3498-965X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alphaviruses infect a wide range of hosts, including humans and domestic animals, and they represent an increasing public health concern. Among them, arthritogenic Chikungunya virus (CHIKV) and encephalitogenic Eastern equine encephalitis virus (EEEV) stand out for their epidemic potential and clinical severity. Developing effective and licensed vaccine models against these viruses remains a significant challenge. Rational epitope design, supported by immunoinformatics, offers a promising route for next-generation effective vaccine development. In this study, we utilized the POA pipeline to assist in the selection and prioritization of predicted epitopes from the E2 glycoproteins of CHIKV and EEEV. A total of 39 conserved linear epitopes were selected, comprising 8 B-cell, 2 T-cell, and 29 Th-cell epitopes. These epitopes were characterized for allergenicity, toxicity, and physicochemical properties, including polarity and hydrogen-bonding potential. Structural mapping onto the quasi-3-fold (q3) symmetry unit enabled assessment of their solvent accessibility and spatial organization in the native quaternary context. Our result provides a basis for the rational design of a multiepitope vaccine targeting conserved antigenic regions in alphaviruses with high translational relevance. This integrative approach aligns with the One Health perspective, highlighting its potential for developing biotechnological solutions that address human, animal, and environmental health. The POA pipeline is available on GitHub (https://github.com/UbiratanBatista/POA_Project).

Identifiers

PMID41502688
PMCPMC12771413

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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.