Evidence map›Paper›PMID 32741372›Full record

ArticleInfectious diseases of poverty2020

Bioinformatics analysis of epitope-based vaccine design against the novel SARS-CoV-2.

Hong-Zhi Chen, Ling-Li Tang, Xin-Ling Yu, Jie Zhou, Yun-Feng Chang, Xiang Wu

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 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
–field-weighted citation impact
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.

  1. Article
  2. Frontiers in microbiology · 2026
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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.

Hong-Zhi ChenDepartment of Metabolism & Endocrinology, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Disease, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China. chenhongzhi2013@csu.edu.cn.
Ling-Li TangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Xin-Ling YuHunan Institute of Parasite Disease, WHO Collaborating Center For Research and Control on Schistosomiasis in Lake Region, Yueyang, 414000, Hunan, China.
Jie ZhouHunan Institute of Parasite Disease, WHO Collaborating Center For Research and Control on Schistosomiasis in Lake Region, Yueyang, 414000, Hunan, China.
Yun-Feng ChangDepartment of Forensic Medicine Science, Xiangya School of Basic Medicine, Central South University, Changsha, 410013, Hunan, China. changyunfeng880@163.com.
Xiang WuDepartment of Parasitology, Xiangya School of Basic Medicine, Central South University, Changsha, 410013, Hunan, China. wxspring@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn outbreak of infection caused by SARS-CoV-2 recently has brought a great challenge to public health. Rapid identification of immune epitopes would be an efficient way to screen the candidates for vaccine development at the time of pandemic. This study aimed to predict the protective epitopes with bioinformatics methods and resources for vaccine development.

methodsThe genome sequence and protein sequences of SARS-CoV-2 were retrieved from the National Center for Biotechnology Information (NCBI) database. ABCpred and BepiPred servers were utilized for sequential B-cell epitope analysis. Discontinuous B-cell epitopes were predicted via DiscoTope 2.0 program. IEDB server was utilized for HLA-1 and HLA-2 binding peptides computation. Surface accessibility, antigenicity, and other important features of forecasted epitopes were characterized for immunogen potential evaluation.

resultsA total of 63 sequential B-cell epitopes on spike protein were predicted and 4 peptides (Spike

conclusionsB-cell epitopes on spike protein and T-cell epitopes within nucleocapsid protein were identified and recommended for developing a protective vaccine against SARS-CoV-2.

Indexed as

Amino Acid SequenceBetacoronavirusComputational BiologyCoronavirus InfectionsCOVID-19COVID-19 VaccinesDrug DesignEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunogenicity, VaccineModels, MolecularPandemicsPneumonia, ViralSARS-CoV-2Sequence AlignmentCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Viral Envelope ProteinsViral VaccinesBioinformaticsEpitopeSARS-CoV-2Vaccine

Identifiers

PMID32741372
PMCPMC7395940

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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.