Evidence map›Paper›PMID 33889450›Full record

ArticlePeerJ2021

Bioinformatic prediction of immunodominant regions in spike protein for early diagnosis of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

Siqi Zhuang, Lingli Tang, Yufeng Dai, Xiaojing Feng, Yiyuan Fang, Haoneng Tang, Ping Jiang, Xiang Wu, Hezhi Fang, Hongzhi Chen

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Siqi ZhuangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Lingli TangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yufeng DaiDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiaojing FengDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yiyuan FangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Haoneng TangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ping JiangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiang WuDepartment of Parasitology, Xiangya School of Basic Medicine, Central South University, Changsha, Hunan, China.
Hezhi FangKey Laboratory of Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, College of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Hongzhi ChenNational Clinical Research Center for Metabolic Disease, Key Laboratory of Diabetes Immunology, Ministry of Education, Metabolic Syndrome Research Center, and Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Second Xiangya Hospital of Central South University · CNCentral South University · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo contain the pandemics caused by SARS-CoV-2, early detection approaches with high accuracy and accessibility are critical. Generating an antigen-capture based detection system would be an ideal strategy complementing the current methods based on nucleic acids and antibody detection. The spike protein is found on the outside of virus particles and appropriate for antigen detection.

methodsIn this study, we utilized bioinformatics approaches to explore the immunodominant fragments on spike protein of SARS-CoV-2.

resultsThe S1 subunit of spike protein was identified with higher sequence specificity. Three immunodominant fragments, Spike

conclusionThe recombinant peptide encoded by the construct contains multiple immunodominant epitopes, which is expected to stimulate a strong immune response in mice and generate qualified antibodies for SARS-CoV-2 detection.

Indexed as

Antigen-captureCOVID-19Immunodominant fragmentsSARS-CoV-2Spike protein

Identifiers

PMID33889450
PMCPMC8038641
OpenAlexW3154040175

What OpenQuestion holds

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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.