Evidence map›Paper›PMID 32022276›Full record

ArticleJournal of medical virology2020

Immunoinformatics-aided identification of T cell and B cell epitopes in the surface glycoprotein of 2019-nCoV.

Vargab Baruah, Sujoy Bose

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 160 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 3 pooled it
22.2field-weighted citation impact, top 1% 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

160 citing papers in PubMed, 3 syntheses or guidelines pooled it, 286 citations in OpenAlex.

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  14. Designing a multi-epitope vaccine againstSynthetic and systems biotechnology · 2023
    Article
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  17. Immunology of SARS-CoV-2 infection and vaccination.Clinica chimica acta; international journal of clinical chemistry · 2023
    Review
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100 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Vargab BaruahDepartment of Biotechnology, Gauhati University, Guwahati, Assam, India.ORCID 0000-0002-2882-7785
Sujoy BoseDepartment of Biotechnology, Gauhati University, Guwahati, Assam, India.ORCID 0000-0003-3606-958X
Gauhati University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2019 novel coronavirus (2019-nCoV) outbreak has caused a large number of deaths with thousands of confirmed cases worldwide, especially in East Asia. This study took an immunoinformatics approach to identify significant cytotoxic T lymphocyte (CTL) and B cell epitopes in the 2019-nCoV surface glycoprotein. Also, interactions between identified CTL epitopes and their corresponding major histocompatibility complex (MHC) class I supertype representatives prevalent in China were studied by molecular dynamics simulations. We identified five CTL epitopes, three sequential B cell epitopes and five discontinuous B cell epitopes in the viral surface glycoprotein. Also, during simulations, the CTL epitopes were observed to be binding MHC class I peptide-binding grooves via multiple contacts, with continuous hydrogen bonds and salt bridge anchors, indicating their potential in generating immune responses. Some of these identified epitopes can be potential candidates for the development of 2019-nCoV vaccines.

Indexed as

Computational BiologyBetacoronavirusChinaCoronavirus InfectionsCOVID-19Epitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IHumansMolecular Dynamics SimulationPneumonia, ViralProtein Structure, TertiarySARS-CoV-2Viral Envelope ProteinsEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IViral Envelope Proteins2019-nCoVcoronavirusCOVID-19epitope predictionimmunoinformaticsSARS-CoV-2

Identifiers

PMID32022276
PMCPMC7166505
OpenAlexW3005011674

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.