Evidence map›Paper›PMID 34352457›Full record

ArticleComputers in biology and medicine2021

An in-depth in silico and immunoinformatics approach for designing a potential multi-epitope construct for the effective development of vaccine to combat against SARS-CoV-2 encompassing variants of concern and interest.

Abdullah Al Saba, Maisha Adiba, Piyal Saha, Md Ismail Hosen, Sajib Chakraborty, A H M Nurun Nabi

Abstract read
In one paragraph

Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  16. A novel vaccine based on SARS-CoV-2 CD4Scientific reports · 2022
    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

6 authors.

Abdullah Al SabaLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
Maisha AdibaLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
Piyal SahaLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
Md Ismail HosenLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
Sajib ChakrabortyMolecular Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
A H M Nurun NabiLaboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh. Electronic address: nabi@du.ac.bd.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the latest of the several viral pathogens that have acted as a threat to human health around the world. Thus, to prevent COVID-19 and control the outbreak, the development of vaccines against SARS-CoV-2 is one of the most important strategies at present. The study aimed to design a multi-epitope vaccine (MEV) against SARS-CoV-2. For the development of a more effective vaccine, 1549 nucleotide sequences were taken into consideration, including the variants of concern (B.1.1.7, B.1.351, P.1 and, B.1.617.2) and variants of interest (B.1.427, B.1.429, B.1.526, B.1.617.1 and P.2). A total of 11 SARS-CoV-2 proteins (S, N, E, M, ORF1ab polyprotein, ORF3a, ORF6, ORF7a, ORF7b, ORF8, ORF10) were targeted for T-cell epitope prediction and S protein was targeted for B-cell epitope prediction. MEV was constructed using linkers and adjuvant beta-defensin. The vaccine construct was verified, based on its antigenicity, physicochemical properties, and its binding potential, with toll-like receptors (TLR2, TLR4), ACE2 receptor and B cell receptor. The selected vaccine construct showed considerable binding with all the receptors and a significant immune response, including elevated antibody titer and B cell population along with augmented activity of T

Indexed as

COVID-19SARS-CoV-2Computational BiologyCOVID-19 VaccinesEpitopes, B-LymphocyteHumansMolecular Docking SimulationCOVID-19 VaccinesEpitopes, B-LymphocyteB cell epitopeCOVID-19ImmunoinformaticsMulti-epitope vaccineSARS-CoV-2T cell epitope

Identifiers

PMID34352457
PMCPMC8321692

What OpenQuestion holds

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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.