Evidence map›Paper›PMID 40968251›Full record

ArticleJournal of computer-aided molecular design2025

Integrated strategy for screening direct Keap1-Nrf2 PPI inhibitors from traditional Chinese medicine: a case study of Achyranthis bidentatae Radix.

Ban Chen, Shuangshuang Liu, Huiyin Xia, Xican Li, Rongxin Cai, Yingqing Zhang, Yuchen Hu, Jiangtao Su

Abstract read
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In one paragraph

Article in Journal of computer-aided molecular design, 2025. 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. 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

8 authors.

Ban ChenKey Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Centre of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei University of Technology, Wuhan, 430068, China.
Shuangshuang LiuKey Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Centre of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei University of Technology, Wuhan, 430068, China.
Huiyin XiaKey Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Centre of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei University of Technology, Wuhan, 430068, China.
Xican LiSchool of Chinese Herbal Medicine, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China. lixican@126.com.
Rongxin CaiSchool of Chinese Herbal Medicine, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China.
Yingqing ZhangKey Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Centre of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei University of Technology, Wuhan, 430068, China.
Yuchen HuKey Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Centre of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei University of Technology, Wuhan, 430068, China.
Jiangtao SuKey Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Centre of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei University of Technology, Wuhan, 430068, China.

Funding

Doctoral Research Initiation Grant of Hubei University of Technology XJ2022004001Hubei Provincial Natural Science Foundation of China 2023AFB373National Natural Science Foundation of China 82304707National Natural Science Foundation of China 82374485
6 · The paper itself

Abstract

Direct inhibition of the Kelch-like ECH-associated protein 1 (Keap1)-nuclear factor erythroid 2-related factor 2 (Nrf2) protein-protein interaction (PPI) represents a critical pathway for enhancing the antioxidant response. Therefore, screening for direct Keap1-Nrf2 PPI inhibitors holds significant potential for addressing oxidative stress-related diseases. This study aims to develop an integrated approach to identify direct Keap1-Nrf2 PPI inhibitors from traditional Chinese medicine (TCM) using Achyranthis bidentatae Radix (ABR) as a case study. The approach incorporated ultrahigh-performance liquid chromatography-quadrupole-orbitrap mass spectrometry analysis, data mining, drug-like property evaluation, molecular docking, chemical structure clustering, molecular dynamics (MD) simulations, in vitro experimental validation, and density functional theory (DFT) calculations. A total of 517 compounds were identified in ABR, of which 248 met the drug-likeness criteria. Additionally, seventeen compounds from six structural clusters were identified as having theoretical Keap1-Nrf2 PPI inhibitory activity. Among these compounds, shidasterone, nortrachelogenin, wogonin, and N-trans-feruloylmethoxytyramine were subjected to experimental evaluation for their Keap1-Nrf2 PPI inhibitory and free radical scavenging activities. MD simulations and DFT calculations demonstrated that these compounds directly inhibited Keap1-Nrf2 PPI through hydrophobic interactions, hydrogen bonds, and salt bridges. Moreover, DFT calculations confirmed that these compounds scavenged free radicals via the hydrogen atom transfer mechanism. In conclusion, the strategy presented herein offers a robust framework for screening direct Keap1-Nrf2 PPI inhibitors with structural diversity from ABR and other TCM sources.

Indexed as

Drugs, Chinese HerbalKelch-Like ECH-Associated Protein 1NF-E2-Related Factor 2Density Functional TheoryHumansMedicine, Chinese TraditionalMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingDrugs, Chinese HerbalKEAP1 protein, humanKelch-Like ECH-Associated Protein 1NFE2L2 protein, humanNF-E2-Related Factor 2AntioxidantNiuxiProtein–protein interactionStructural diversityTraditional Chinese medicine

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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.