Evidence map›Paper›PMID 32521680›Full record

ArticleVaccines2020

Multiepitope-Based Subunit Vaccine Design and Evaluation against Respiratory Syncytial Virus Using Reverse Vaccinology Approach.

Muhammad Tahir Ul Qamar, Zeeshan Shokat, Iqra Muneer, Usman Ali Ashfaq, Hamna Javed, Farooq Anwar, Amna Bari, Barira Zahid, Nazamid Saari

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

57 citing papers in PubMed, 100 citations in OpenAlex.

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  20. Multi-epitope Based Peptide Vaccine Candidate AgainstBioinformatics and biology insights · 2024
    Article
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

9 authors at 6 institutions in 3 countries.

Muhammad Tahir Ul QamarCollege of Life Science and Technology, Guangxi University, Nanning 530004, China.ORCID 0000-0003-4832-4250
Zeeshan ShokatDepartment of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.ORCID 0000-0003-4861-133X
Iqra MuneerSchool of Life Sciences, University of Science and Technology of China, Hefei 230052, China.
Usman Ali AshfaqDepartment of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.
Hamna JavedDepartment of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan.
Farooq AnwarDepartment of Chemistry, University of Sargodha, Sargodha 40100, Pakistan.
Amna BariHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Barira ZahidKey Laboratory of Horticultural Plant Biology (Ministry of Education), Huazhong Agricultural University, Wuhan 430070, China.
Nazamid SaariDepartment of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.ORCID 0000-0002-4185-9415
Government College University, Faisalabad · PKHuazhong Agricultural University · CNGuangxi University · CNUniversiti Putra Malaysia · MYUniversity of Sargodha · PKUniversity of Science and Technology of China · CN

Funding

Guangxi University Postdoctoral Research GrantUniversiti Putra Malaysia Research grant
6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) is primarily associated with respiratory disorders globally. Despite the availability of information, there is still no competitive vaccine available for RSV. Therefore, the present study has been designed to develop a multiepitope-based subunit vaccine (MEV) using a reverse vaccinology approach to curb RSV infections. Briefly, two highly antigenic and conserved proteins of RSV (glycoprotein and fusion protein) were selected and potential epitopes of different categories (B-cell and T-cell) were identified from them. Eminently antigenic and overlapping epitopes, which demonstrated strong associations with their respective human leukocyte antigen (HLA) alleles and depicted collective ~70% coverage of the world's populace, were shortlisted. Finally, 282 amino acids long MEV construct was established by connecting 13 major histocompatibility complex (MHC) class-I with two MHC class-II epitopes with appropriate adjuvant and linkers. Adjuvant and linkers were added to increase the immunogenic stimulation of the MEV. Developed MEV was stable, soluble, non-allergenic, non-toxic, flexible and highly antigenic. Furthermore, molecular docking and molecular dynamics (MD) simulations analyses were carried out. Results have shown a firm and robust binding affinity of MEV with human pathogenic toll-like receptor three (TLR3). The computationally mediated immune response of MEV demonstrated increased interferon-γ production, a significant abundance of immunoglobulin and activation of macrophages which are essential for immune-response against RSV. Moreover, MEV codons were optimized and in silico cloning was performed, to ensure its increased expression. These outcomes proposed that the MEV developed in this study will be a significant candidate against RSV to control and prevent RSV-related disorders if further investigated experimentally.

Indexed as

computational approachesmultiepitope-based vaccinerespiratory disordersrespiratory syncytial virusSubunit vaccine

Identifiers

PMID32521680
PMCPMC7350008
OpenAlexW3033118244

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.