Evidence map›Paper›PMID 33325143›Full record

ArticleJournal of cellular and molecular medicine2021

T and B cell Epitope analysis of SARS-CoV-2 S protein based on immunoinformatics and experimental research.

Ziwei Chen, Pinglang Ruan, Lili Wang, Xinmin Nie, Xuejun Ma, Yurong Tan

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  7. A novel approach to designing viral precision vaccines applied to SARS-CoV-2.Frontiers in cellular and infection microbiology · 2024
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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 2 institutions in 1 country.

Ziwei ChenDepartment of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, China.ORCID 0000-0003-2963-1060
Pinglang RuanDepartment of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, China.ORCID 0000-0003-4102-1732
Lili WangDepartment of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, China.ORCID 0000-0003-0795-6710
Xinmin NieDepartment of Clinical Laboratory, Third Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-3104-2505
Xuejun MaDepartment of NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0003-0249-3569
Yurong TanDepartment of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, China.ORCID 0000-0002-0283-2105
Central South University · CNNational Institute for Viral Disease Control and Prevention · CN

Funding

Academician Hou Yunde Research Youth Fund Project 2019HYDQNJJ03The China Mega-Projects for Infectious Disease 2018ZX10711001
6 · The paper itself

Abstract

COVID-19 caused by SARS-CoV-2 is pandemic with a severe morbidity and mortality rate across the world. Despite the race for effective vaccine and drug against further expansion and fatality rate of this novel coronavirus, there is still lack of effective antiviral therapy. To this effect, we deemed it necessary to identify potential B and T cell epitopes from the envelope S protein. This can be used as potential targets to develop anti-SARS-CoV-2 vaccine preparations. In this study, we used immunoinformatics to identify conservative B and T cell epitopes for S proteins of SARS-CoV-2, which might play roles in the initiation of SARS-CoV-2 infection. We identified the B cell and T cell peptide epitopes of S protein and their antigenicity, as well as the interaction between the peptide epitopes and human leucocyte antigen (HLA). Among the B cell epitopes, 'EILDITPCSFGGVS' has the highest score of antigenicity and great immunogenicity. In T cell epitopes, MHC-I peptide 'KIADYNYKL' and MHC-II peptide 'LEILDITPC' were identified as high antigens. Besides, docking analysis showed that the predicted peptide 'KIADYNYKL' was closely bound to the HLA-A*0201. The results of molecular dynamics simulation through GROMACS software showed that 'HLA-A*0201~peptide' complex was very stable. And the peptide we selected could induce the T cell response similar to that of SARS-CoV-2 infection. Moreover, the predicted peptides were highly conserved in different isolates from different countries. The antigenic epitopes presumed in this study were effective new vaccine targets to prevent SARS-CoV-2 infection.

Indexed as

COVID-19COVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IIHLA-A AntigensHumansMolecular Dynamics SimulationPandemicsSARS-CoV-2Spike Glycoprotein, CoronavirusViral VaccinesCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IIHLA-A AntigensSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Viral Vaccinesimmunoinformaticsmolecular dynamics simulationSARS-CoV-2T and B cell epitopesT cell immune responsevaccine design

Identifiers

PMID33325143
PMCPMC7812294
OpenAlexW3111091610

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.