Evidence map›Paper›PMID 40854643›Full record

ArticleJournal, genetic engineering & biotechnology2025

An immunoinformatics approach in designing high-coverage mRNA multi-epitope vaccine against multivariant SARS-CoV-2.

Ernawati Arifin Giri-Rachman, Al Mirahma Febri Kurnianti, Rizarullah, Aditya Hanung Setyadi, Anita Artarini, Marselina Irasonia Tan, Catur Riani, Dessy Natalia, Reza Aditama, Husna Nugrahapraja

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

10 authors.

Ernawati Arifin Giri-RachmanSchool of Life Sciences and Technology, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung 40132, Indonesia; Biosciences and Biotechnology Research Centre, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung, 40132, Indonesia. Electronic address: erna_girirachman@itb.ac.id.
Al Mirahma Febri KurniantiSchool of Life Sciences and Technology, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung 40132, Indonesia.
RizarullahFaculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung 40132, Indonesia; Department of Biochemistry, Faculty of Medicine, Abulyatama University, Jl. Blangbintang Lama, Aceh Besar 23372, Indonesia.
Aditya Hanung SetyadiSchool of Life Sciences and Technology, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung 40132, Indonesia.
Anita ArtariniSchool of Pharmacy, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung 40132, Indonesia; Biosciences and Biotechnology Research Centre, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung, 40132, Indonesia.
Marselina Irasonia TanSchool of Life Sciences and Technology, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung 40132, Indonesia; Biosciences and Biotechnology Research Centre, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung, 40132, Indonesia.
Catur RianiSchool of Pharmacy, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung 40132, Indonesia; Biosciences and Biotechnology Research Centre, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung, 40132, Indonesia.
Dessy NataliaFaculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung 40132, Indonesia; Biosciences and Biotechnology Research Centre, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung, 40132, Indonesia.
Reza AditamaFaculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung 40132, Indonesia.
Husna NugrahaprajaSchool of Life Sciences and Technology, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung 40132, Indonesia; Biosciences and Biotechnology Research Centre, Institut Teknologi Bandung, Jl. Ganesa No. 10, Bandung, 40132, Indonesia. Electronic address: husna_np@itb.ac.id.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the decreasing cases, SARS-CoV-2, with its endemic status, still threatens public health, and developing a variant-proof vaccine could be a promising strategy to prevent future infection. In this study, utilizing immunoinformatics and reverse vaccinology, we aimed to develop a multi-epitope mRNA vaccine with high population coverage, targeting multiple variants of SARS-CoV-2.

methodsTo design a multivariant vaccine, 20,567 sequences consisting of all SARS-CoV-2's variants of concern whole genome were retrieved. Utilizing an immunoinformatics approach, the selected antigens spike and nucleocapsid proteins were analyzed to predict linear B lymphocyte (LBL), helper T lymphocyte (HTL), and cytotoxic T lymphocyte (CTL) epitopes. These epitopes were evaluated based on antigenicity, toxicity, allergenicity, conservancy, and coverage at both global and Indonesian levels. The identified epitopes were further subjected to molecular docking analysis with MHC molecules and combined into the design of a multi-epitope vaccine. The validated 3D structure of the vaccine construct (VC) was used in molecular docking with TLR4 and BCR. The vaccine construct's potential in eliciting immune responses was also assessed.

resultsThe predicted epitopes demonstrated extensive population coverage, encompassing 99.99% of the global population and 99.39% of the Indonesian population, respectively. The selected epitopes consisted of four LBL, five HTL, and three CTL epitopes were combined using linkers to make a multi-epitope construct, which was antigenic, non-allergenic, 257 amino acids long, and most of the structure was coil (61.87%). Furthermore, molecular docking analysis revealed potent interactions between the validated 3D structure and the TLR4 and BCR receptors, while molecular dynamic simulations confirmed the stability of the VC-TLR4 and VC-BCR complexes. Additionally, mRNA codon optimization was performed to enhance vaccine expression efficiency, and secondary structure analysis indicated that the designed mRNA vaccine possessed a stable conformation.

conclusionAs a result, an mRNA vaccine candidate was obtained with high population coverage and could induce a robust and protective immune response against multiple variants of SARS-CoV-2. Therefore, further studies are required to validate the safety and efficacy of the proposed vaccine candidate.

Indexed as

COVID-19ImmunoinformaticsmRNA vaccineMulti-epitopeReverse vaccinologySARS-CoV-2

Identifiers

PMID40854643
PMCPMC12226046

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LicenceCC BY-NC-ND
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Registered trials

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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.