Evidence map›Paper›PMID 40153397›Full record

ArticlePloS one2025

In silico design of Ebola virus Glycoprotein antigenic peptides as vaccine candidates.

David Lara-Ramírez, Clara Esperanza Santacruz-Tinoco, Eva Ramón-Gallegos, José Esteban Muñoz-Medina

Abstract read
In one paragraph

Article in PloS one, 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.

David Lara-RamírezEnvironmental Cytopathology Laboratory, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico CityMexico.
Clara Esperanza Santacruz-TinocoDivisión de Laboratorios Especializados. Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Eva Ramón-GallegosEnvironmental Cytopathology Laboratory, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico CityMexico.
José Esteban Muñoz-MedinaDivisión de Laboratorios Especializados. Instituto Mexicano del Seguro Social, Mexico City, Mexico.ORCID 0000-0002-1289-4457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ebola virus (EBOV) is a filovirus that causes severe hemorrhagic fever and has a fatality rate between 50 and 90%. The vaccines were developed against the Ebola Zaire species; therefore, it is necessary to develop vaccines against other species to control future outbreaks. The objective of this work was to obtain vaccine candidate peptides against different EBOV species through the use of bioinformatics programs and servers that allow glycoprotein (GP) to be analyzed. GP sequences of various EBOV species that did not present gaps or unspecified amino acids or that were repeated (same year, region and laboratory) were downloaded from the NCBI database. A consensus sequence was generated and used to determine vaccine candidate peptides, which were evaluated, through a combination of servers and molecular dynamics, for their ability to interact with B and T lymphocytes, toxicity, allergenicity, solvent exposure, glycosylation, antigenicity, and presence in mature GP. Five vaccine candidate peptides were identified, of which PEP4 had the best characteristics evaluated in this study. PEP4 may be a potential candidate for the development of an EBOV vaccine.

Indexed as

Antigens, ViralEbola VaccinesEbolavirusGlycoproteinsHemorrhagic Fever, EbolaPeptidesAmino Acid SequenceComputational BiologyComputer SimulationHumansMolecular Dynamics SimulationViral Envelope ProteinsAntigens, ViralEbola VaccinesGlycoproteinsPeptidesViral Envelope Proteins

Identifiers

PMID40153397
PMCPMC11952221

What OpenQuestion holds

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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.