Evidence map›Paper›PMID 32599237›Full record

ArticleInternational journal of biological macromolecules2020

Designing a novel mRNA vaccine against SARS-CoV-2: An immunoinformatics approach.

Ishtiaque Ahammad, Samia Sultana Lira

Abstract read
In one paragraph

Article in International journal of biological macromolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

77 citing papers in PubMed.

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17 more citing papers are in PubMed but not listed here.

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

2 authors.

Ishtiaque AhammadDepartment of Biochemistry and Microbiology, North South University, Dhaka 1229, Bangladesh. Electronic address: ishtiaque.ahammad@northsouth.edu.
Samia Sultana LiraDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 is the deadly virus behind COVID-19, the disease that went on to ravage the world and caused the biggest pandemic 21st century has witnessed so far. On the face of ongoing death and destruction, the urgent need for the discovery of a vaccine against the virus is paramount. This study resorted to the emerging discipline of immunoinformatics in order to design a multi-epitope mRNA vaccine against the spike glycoprotein of SARS-CoV-2. Various immunoinformatics tools were utilized to predict T and B lymphocyte epitopes. The epitopes were channeled through a filtering pipeline comprised of antigenicity, toxicity, allergenicity, and cytokine inducibility evaluation with the goal of selecting epitopes capable of generating both T and B cell-mediated immune responses. Molecular docking simulation between the epitopes and their corresponding MHC molecules was carried out. 13 epitopes, a highly immunogenic adjuvant, elements for proper sub-cellular trafficking, a secretion booster, and appropriate linkers were combined for constructing the vaccine. The vaccine was found to be antigenic, almost neutral at physiological pH, non-toxic, non-allergenic, capable of generating a robust immune response and had a decent worldwide population coverage. Based on these parameters, this design can be considered a promising choice for a vaccine against SARS-CoV-2.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19COVID-19 VaccinesDrug DesignEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunogenicity, VaccineMolecular Docking SimulationPandemicsPneumonia, ViralRNA, MessengerSARS-CoV-2Sequence Analysis, ProteinSpike Glycoprotein, CoronavirusCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteRNA, MessengerSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Vaccines, SyntheticViral VaccinesImmunoinformaticsmRNA vaccineSARS-CoV-2

Identifiers

PMID32599237
PMCPMC7319648

What OpenQuestion holds

Textmetadata
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.