Evidence map›Paper›PMID 32815406›Full record

ArticleExpert review of vaccines2020

Exploring the SARS-CoV-2 structural proteins for multi-epitope vaccine development: an

Amit Kumar, Prateek Kumar, Kumar Udit Saumya, Shivani K Kapuganti, Taniya Bhardwaj, Rajanish Giri

Open access · greenAbstract read
In one paragraph

Article in Expert review of vaccines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

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  13. Lessons Learned from Cutting-Edge Immunoinformatics on Next-Generation COVID-19 Vaccine Research.International journal of peptide research and therapeutics · 2021
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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 at 1 institution in 1 country.

Amit KumarSchool of Basic Sciences, Indian Institute of Technology Mandi , Mandi, India.ORCID 0000-0001-9118-7971
Prateek KumarSchool of Basic Sciences, Indian Institute of Technology Mandi , Mandi, India.ORCID 0000-0001-7392-5045
Kumar Udit SaumyaSchool of Basic Sciences, Indian Institute of Technology Mandi , Mandi, India.
Shivani K KapugantiSchool of Basic Sciences, Indian Institute of Technology Mandi , Mandi, India.
Taniya BhardwajSchool of Basic Sciences, Indian Institute of Technology Mandi , Mandi, India.ORCID 0000-0002-7226-6348
Rajanish GiriSchool of Basic Sciences, Indian Institute of Technology Mandi , Mandi, India.ORCID 0000-0002-2046-836X
Indian Institute of Technology Mandi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe ongoing life-threatening pandemic of coronavirus disease 2019 (COVID-19) has extensively affected the world. During this global health crisis, it is fundamentally crucial to find strategies to combat SARS-CoV-2. Despite several efforts in this direction and continuing clinical trials, no vaccine has been approved for it yet.

methodsTo find a preventive measure, we have computationally designed a multi-epitopic subunit vaccine using immuno-informatic approaches.

resultsThe structural proteins of SARS-CoV-2 involved in its survival and pathogenicity were used to predict antigenic epitopes. The antigenic epitopes were capable of eliciting a strong humoral as well as cell-mediated immune response, our predictions suggest. The final vaccine was constructed by joining the all epitopes with specific linkers and to enhance their stability and immunogenicity. The physicochemical property of the vaccine was assessed. The vaccine 3D structure prediction and validation were done and docked with the human TLR-3 receptor. Furthermore, molecular dynamics simulations of the vaccine-TLR-3 receptor complex are employed to assess its dynamic motions and binding stability

conclusionBased on this study, we strongly suggest synthesizing this vaccine, which further can be tested

Indexed as

Immunity, CellularImmunity, HumoralBetacoronavirusComputer SimulationCoronavirus InfectionsCOVID-19COVID-19 VaccinesEpitopesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunogenicity, VaccineMolecular Docking SimulationPandemicsPneumonia, ViralSARS-CoV-2COVID-19 VaccinesEpitopesEpitopes, B-LymphocyteEpitopes, T-LymphocyteVaccines, SubunitViral VaccinesenvelopeepitopesnucleocapsidSARS-CoV-2spike glycoproteinvaccine

Identifiers

PMID32815406
PMCPMC7544969
OpenAlexW3080551473

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.