Evidence map›Paper›PMID 36244092›Full record

ArticleImmunobiology2022

Bioinformatics-based SARS-CoV-2 epitopes design and the impact of spike protein mutants on epitope humoral immunities.

Qi Sun, Zhuanqing Huang, Sen Yang, Yuanyuan Li, Yue Ma, Fei Yang, Ying Zhang, Fenghua Xu

Open access · greenAbstract read
In one paragraph

Article in Immunobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 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

8 authors at 2 institutions in 1 country.

Qi SunPharmaceutical Sciences Research Division, Department of Pharmacy, Medical Supplies Centre of PLA General Hospital, Beijing, China; Medical School of Chinese PLA, Beijing, China.
Zhuanqing HuangPharmaceutical Sciences Research Division, Department of Pharmacy, Medical Supplies Centre of PLA General Hospital, Beijing, China; Medical School of Chinese PLA, Beijing, China.
Sen YangMedical School of Chinese PLA, Beijing, China; Chinese People's Armed Police Force Hospital of Beijing, Beijing, China.
Yuanyuan LiPharmaceutical Sciences Research Division, Department of Pharmacy, Medical Supplies Centre of PLA General Hospital, Beijing, China; Medical School of Chinese PLA, Beijing, China.
Yue MaPharmaceutical Sciences Research Division, Department of Pharmacy, Medical Supplies Centre of PLA General Hospital, Beijing, China; Medical School of Chinese PLA, Beijing, China.
Fei YangPharmaceutical Sciences Research Division, Department of Pharmacy, Medical Supplies Centre of PLA General Hospital, Beijing, China; Medical School of Chinese PLA, Beijing, China.
Ying ZhangPharmaceutical Sciences Research Division, Department of Pharmacy, Medical Supplies Centre of PLA General Hospital, Beijing, China.
Fenghua XuPharmaceutical Sciences Research Division, Department of Pharmacy, Medical Supplies Centre of PLA General Hospital, Beijing, China. Electronic address: xufh@301hospital.com.cn.
Chinese PLA General Hospital · CNChinese People's Armed Police General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpitope selection is the key to peptide vaccines development. Bioinformatics tools can efficiently improve the screening of antigenic epitopes and help to choose the right ones.

objectiveTo predict, synthesize and testify peptide epitopes at spike protein, assess the effect of mutations on epitope humoral immunity, thus provide clues for the design and development of epitope peptide vaccines against SARS-CoV-2.

methodsBioinformatics servers and immunological tools were used to identify the helper T lymphocyte, cytotoxic T lymphocyte, and linear B lymphocyte epitopes on the S protein of SARS-CoV-2. Physicochemical properties of candidate epitopes were analyzed using IEDB, VaxiJen, and AllerTOP online software. Three candidate epitopes were synthesized and their antigenic responses were evaluated by binding antibody detection.

resultsA total of 20 antigenic, non-toxic and non-allergenic candidate epitopes were identified from 1502 epitopes, including 6 helper T-cell epitopes, 13 cytotoxic T-cell epitopes, and 1 linear B cell epitope. After immunization with antigen containing candidate epitopes S

conclusionsBioinformatic methods are effective in peptide epitopes design. Certain mutations of the Omicron would lead to the loss of antibody affinity to Omicron S protein.

Indexed as

COVID-19Viral VaccinesAnimalsComputational BiologyCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunity, HumoralPeptidesRabbitsSARS-CoV-2Spike Glycoprotein, CoronavirusVaccines, SubunitCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocytePeptidesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Vaccines, SubunitViral VaccinesAntigenBioinformaticsEpitopeImmune effectSARS-CoV-2

Identifiers

PMID36244092
PMCPMC9516880
OpenAlexW4297473141

What OpenQuestion holds

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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.