Evidence map›Paper›PMID 42801769›Full record

ArticleChemistry & biodiversity2026

Magnetic Bead-Based Ligand Fishing Identifies SARS-CoV-2 Main Protease Inhibitors From Reynoutria japonica.

Yujing Huang, Chenjing Tian, Zhipeng Gu, Jinlian Liang, Duntao Zu, Jianni Yang, Wanrong Zhang, Nina Ren, Junxia Zheng

Abstract read
In one paragraph

Article in Chemistry & biodiversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yujing Huang *School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, P.R. China.ORCID https://orcid.org/0000-0001-9459-7378
Chenjing Tian *School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, P.R. China.
Zhipeng GuSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, P.R. China.
Jinlian LiangSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, P.R. China.
Duntao ZuSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, P.R. China.
Jianni YangCollege of Pharmacy, Jinan University, Guangzhou, P.R. China.
Wanrong ZhangThe Affiliated Panyu Central Hospital of Guangzhou Medical University, Guangzhou, P.R. China.
Nina RenGuangdong Second Provincial General Hospital, Internet Medical Center, Guangzhou, P.R. China.
Junxia ZhengSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, P.R. China.ORCID https://orcid.org/0000-0002-1107-6284

Funding

GuangDong Basic and Applied Basic Research Foundation Enterprise Joint Foundation 2022A1515220142Guangdong Basic and Applied Basic Research Foundation Natural Science Foundation Project 2023A1515011445Guangzhou Basic and Applied Basic Research Foundation-Science and Technology Elite "Piloting" Project 2024A04J6491
6 · The paper itself

Abstract

Traditional Chinese medicines (TCMs) are rich sources of structurally diverse bioactive compounds, yet rapid identification of protease inhibitors from complex botanical matrices remains challenging. Here, a magnetic bead-based affinity-fishing platform coupled with UPLC-Q-Exactive-Orbitrap-MS/MS was applied to identify SARS-CoV-2 main protease (M

Indexed as

BetacoronavirusPlant ExtractsProtease InhibitorsSARS-CoV-2Viral Nonstructural ProteinsChromatography, High Pressure LiquidCoronavirus 3C ProteasesCysteine EndopeptidasesGenisteinHumansLigandsMolecular Docking SimulationTandem Mass SpectrometryCoronavirus 3C ProteasesCysteine EndopeptidasesGenisteinLigandsPlant ExtractsProtease InhibitorsViral Nonstructural Proteinsinhibitor fishingligand fishingmagnetic bead‐based affinity fishingnetwork pharmacologySARS‐CoV‐2 main protease

Identifiers

PMID42801769
PMCPMC13616467

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.