Evidence map›Paper›PMID 33921677›Full record

ArticleVaccines2021

AP205 VLPs Based on Dimerized Capsid Proteins Accommodate RBM Domain of SARS-CoV-2 and Serve as an Attractive Vaccine Candidate.

Xuelan Liu, Xinyue Chang, Dominik Rothen, Mariliza Derveni, Pascal Krenger, Salony Roongta, Edward Wright, Monique Vogel, Kaspars Tars, Mona O Mohsen and 1 more

Abstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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  19. Phytocompounds of Honey mesquite (In silico pharmacology · 2025
    Article
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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

11 authors.

Xuelan LiuInternational Immunology Center, Anhui Agricultural University, Hefei 230036, China.
Xinyue ChangDepartment of Immunology, RIA, Bern University Hospital, 3010 Bern, Switzerland.
Dominik RothenDepartment of Immunology, RIA, Bern University Hospital, 3010 Bern, Switzerland.
Mariliza DerveniSchool of Life Sciences, University of Sussex, Brighton, BN1 9QG UK.
Pascal KrengerDepartment of Immunology, RIA, Bern University Hospital, 3010 Bern, Switzerland.
Salony RoongtaDepartment of Immunology, RIA, Bern University Hospital, 3010 Bern, Switzerland.
Edward WrightSchool of Life Sciences, University of Sussex, Brighton, BN1 9QG UK.ORCID 0000-0001-7041-5138
Monique VogelDepartment of Immunology, RIA, Bern University Hospital, 3010 Bern, Switzerland.
Kaspars TarsLatvian Biomedical Research & Study Centre, Ratsupites iela1, LV 1067 Riga, Latvia.
Mona O MohsenDepartment of Immunology, RIA, Bern University Hospital, 3010 Bern, Switzerland.
Martin F BachmannDepartment of Immunology, RIA, Bern University Hospital, 3010 Bern, Switzerland.ORCID 0000-0003-4370-2099

Funding

Qatar National Research Fund PDRA grant PDRA4-0118-18002The Swiss National Science Foundation SNF Grant CRSII3_154490
6 · The paper itself

Abstract

COVID-19 is a novel disease caused by SARS-CoV-2 which has conquered the world rapidly resulting in a pandemic that massively impacts our health, social activities, and economy. It is likely that vaccination is the only way to form "herd immunity" and restore the world to normal. Here we developed a vaccine candidate for COVID-19 based on the virus-like particle AP205 displaying the spike receptor binding motif (RBM), which is the major target of neutralizing antibodies in convalescent patients. To this end, we genetically fused the RBM domain of SARS-CoV-2 to the C terminus of AP205 of dimerized capsid proteins. The fused VLPs were expressed in

Indexed as

AP205-VLPshumoral immune responseRB motifvirus-like particles

Identifiers

PMID33921677
PMCPMC8073683

What OpenQuestion holds

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Registered trials

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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.