Evidence map›Paper›PMID 39063143›Full record

ArticleInternational journal of molecular sciences2024

A Natural Bioactive Peptide from

Yayu Wang, Qin Wang, Xinjiani Chen, Bailei Li, Zhen Zhang, Liping Yao, Xiaojun Liu, Rongqing Zhang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Yayu WangDepartment of Biotechnology and Biomedicine, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, China.
Qin WangDepartment of Biotechnology and Biomedicine, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, China.
Xinjiani ChenDepartment of Biotechnology and Biomedicine, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, China.
Bailei LiDepartment of Biotechnology and Biomedicine, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, China.ORCID 0000-0002-9033-4367
Zhen ZhangDepartment of Biotechnology and Biomedicine, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, China.
Liping YaoDepartment of Biotechnology and Biomedicine, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, China.
Xiaojun LiuDepartment of Biotechnology and Biomedicine, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, China.
Rongqing ZhangDepartment of Biotechnology and Biomedicine, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, China.

Funding

National Natural Science Foundation of China 32072951
6 · The paper itself

Abstract

The frequent occurrence of viral infections poses a serious threat to human life. Identifying effective antiviral components is urgent. In China, pearls have been important traditional medicinal ingredients since ancient times, exhibiting various therapeutic properties, including detoxification properties. In this study, a peptide, KKCH, which acts against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was derived from

Indexed as

Angiotensin-Converting Enzyme 2Antiviral AgentsCOVID-19 Drug TreatmentPeptidesPinctadaSARS-CoV-2Spike Glycoprotein, CoronavirusAnimalsCOVID-19HEK293 CellsHumansMolecular Docking SimulationProtein BindingACE2 protein, humanAngiotensin-Converting Enzyme 2Antiviral AgentsPeptidesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2ACE2antiviral peptidespearl peptidePinctada fucataSARS-CoV-2

Identifiers

PMID39063143
PMCPMC11277083

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.