Evidence map›Paper›PMID 36125645›Full record

ArticleJournal, genetic engineering & biotechnology2022

Immunoinformatics approach to epitope-based vaccine design against the SARS-CoV-2 in Bangladeshi patients.

Shahina Akter, Muhammad Shahab, Md Murshed Hasan Sarkar, Chandni Hayat, Tanjina Akhtar Banu, Barna Goswami, Iffat Jahan, Eshrar Osman, Mohammad Samir Uzzaman, Md Ahashan Habib and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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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

12 authors at 3 institutions in 3 countries.

Shahina AkterBangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh.ORCID http://orcid.org/0000-0001-7776-6686
Muhammad ShahabState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
Md Murshed Hasan SarkarBangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh.
Chandni HayatDepartment of Biochemistry, Computational Medicinal Chemistry Laboratory, UCSS, Abdul Wali Khan University, Mardan, Pakistan.
Tanjina Akhtar BanuBangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh.
Barna GoswamiBangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh.
Iffat JahanBangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh.
Eshrar OsmanSciTech Consulting and Solutions, Dhaka, Bangladesh.
Mohammad Samir UzzamanSciTech Consulting and Solutions, Dhaka, Bangladesh.
Md Ahashan HabibBangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh.
Aftab Ali ShaikhBangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh.
Md Salim KhanBangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh. k2salim@yahoo.com.ORCID http://orcid.org/0000-0003-0603-6728
Bangladesh Council of Scientific and Industrial Research · BDAbdul Wali Khan University Mardan · PKBeijing University of Chemical Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the ongoing coronavirus disease 2019 (COVID-19) pandemic which has brought a great challenge to public health. After the first emergence of novel coronavirus SARS-CoV-2 in the city of Wuhan, China, in December 2019. As of March 2020, SARS-CoV-2 was first reported in Bangladesh and since then the country has experienced a steady rise in infections, resulting in 13,355,191 cases and 29,024 deaths as of 27 February 2022. Bioinformatics techniques are used to predict B cell and T cell epitopes from the new SARS-CoV-2 spike glycoprotein in order to build a unique multiple epitope vaccine. The immunogenicity, antigenicity scores, and toxicity of these epitopes were evaluated and chosen based on their capacity to elicit an immune response.

resultThe best multi-epitope of the possible immunogenic property was created by combining epitopes. EAAAK, AAY, and GPGPG linkers were used to connect the epitopes. In several computer-based immune response analyses, this vaccine design was found to be efficient, as well as having high population coverage.

conclusionThis research is entirely reliant on the development of epitope-based vaccines, and these in silico findings would represent a major step forward in the development of a vaccine that might eradicate SARS-CoV-2 in Bangladeshi patients.

Indexed as

B cellEpitopeImmunoinformaticsSARS-CoV-2T cellVaccine

Identifiers

PMID36125645
PMCPMC9487853
OpenAlexW4296783757

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.