Evidence map›Paper›PMID 36851275›Full record

ArticleVaccines2023

Immunoinformatics Study: Multi-Epitope Based Vaccine Design from SARS-CoV-2 Spike Glycoprotein.

Ramadhita Umitaibatin, Azza Hanif Harisna, Muhammad Miftah Jauhar, Putri Hawa Syaifie, Adzani Gaisani Arda, Dwi Wahyu Nugroho, Donny Ramadhan, Etik Mardliyati, Wervyan Shalannanda, Isa Anshori

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  12. Bioinformatics and immunoinformatics assisted multiepitope vaccine construct againstSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    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 at 3 institutions in 1 country.

Ramadhita UmitaibatinLab-on-Chip Group, Department of Biomedical Engineering, School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung 40132, Indonesia.
Azza Hanif HarisnaNano Center Indonesia, Jl. Raya Puspiptek, South Tangerang 15314, Indonesia.
Muhammad Miftah JauharNano Center Indonesia, Jl. Raya Puspiptek, South Tangerang 15314, Indonesia.ORCID 0000-0002-5826-5904
Putri Hawa SyaifieNano Center Indonesia, Jl. Raya Puspiptek, South Tangerang 15314, Indonesia.ORCID 0000-0001-8566-7960
Adzani Gaisani ArdaNano Center Indonesia, Jl. Raya Puspiptek, South Tangerang 15314, Indonesia.ORCID 0000-0002-2674-6295
Dwi Wahyu NugrohoNano Center Indonesia, Jl. Raya Puspiptek, South Tangerang 15314, Indonesia.ORCID 0000-0002-7020-8582
Donny RamadhanResearch Center for Pharmaceutical Ingredients and Traditional Medicine, National Research and Innovation Agency (BRIN), Cibinong 16911, Indonesia.ORCID 0000-0001-6556-3160
Etik MardliyatiResearch Center for Vaccine and Drug, National Research and Innovation Agency (BRIN), Cibinong 16911, Indonesia.
Wervyan ShalannandaDepartment of Telecommunication Engineering, School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung 40132, Indonesia.ORCID 0000-0002-4342-9718
Isa AnshoriLab-on-Chip Group, Department of Biomedical Engineering, School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung 40132, Indonesia.ORCID 0000-0001-5134-7264
Indonesian Institute of Sciences · IDBandung Institute of Technology · IDNational Research and Innovation Agency · ID

Funding

Bandung Institute of Technology ITB
6 · The paper itself

Abstract

The coronavirus disease 2019 outbreak has become a huge challenge in the human sector for the past two years. The coronavirus is capable of mutating at a higher rate than other viruses. Thus, an approach for creating an effective vaccine is still needed to induce antibodies against multiple variants with lower side effects. Currently, there is a lack of research on designing a multiepitope of the COVID-19 spike protein for the Indonesian population with comprehensive immunoinformatic analysis. Therefore, this study aimed to design a multiepitope-based vaccine for the Indonesian population using an immunoinformatic approach. This study was conducted using the SARS-CoV-2 spike glycoprotein sequences from Indonesia that were retrieved from the GISAID database. Three SARS-CoV-2 sequences, with IDs of EIJK-61453, UGM0002, and B.1.1.7 were selected. The CD8+ cytotoxic T-cell lymphocyte (CTL) epitope, CD4+ helper T lymphocyte (HTL) epitope, B-cell epitope, and IFN-γ production were predicted. After modeling the vaccines, molecular docking, molecular dynamics, in silico immune simulations, and plasmid vector design were performed. The designed vaccine is antigenic, non-allergenic, non-toxic, capable of inducing IFN-γ with a population reach of 86.29% in Indonesia, and has good stability during molecular dynamics and immune simulation. Hence, this vaccine model is recommended to be investigated for further study.

Indexed as

antigenic epitopeepitope predictionLR-4spike glycoproteinTLR-3

Identifiers

PMID36851275
PMCPMC9964839
OpenAlexW4320081709

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.