Evidence map›Paper›PMID 38685811›Full record

ArticleCurrent computer-aided drug design2025

Study on the Mechanism of Competing Endogenous Network of '

Lulu Wu, Bo Xu, Yu Qi, Changjin Yuan

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Article in Current computer-aided drug design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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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

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4 · The record

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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

4 authors.

Lulu WuDepartment of Integrated Traditional Chinese and Western Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Bo XuHubei University of Chinese Medicine, Wuhan, 430065, China.
Yu QiHubei University of Chinese Medicine, Wuhan, 430065, China.
Changjin YuanDepartment of Integrated Traditional Chinese and Western Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.

Funding

Wuhan Foundation for Health Research, China WZ22Q46
6 · The paper itself

Abstract

introductionNon-small cell lung cancer (NSCLC) is the most common type of lung cancer. Traditional Chinese medicine, known for its multi-target and multi-pathway characteristics, offers a potential treatment approach for NSCLC.

objectiveThis study aimed to explore the mechanism of the competitive endogenous network of ' MATERIALS AND

methodsVarious databases and ceRNA networks were utilized to collect and screen components and target genes, molecular docking and molecular dynamics simulations to determine the binding ability of ligand-receptor complexes.

resultsThe key target proteins CCL2, EDN1, MMP9, PPARG, and SPP1 were docked well with their corresponding TCM ligands. Among the ligand-receptor complexes, MMP9-Luteolin and MMP9-Quercetin demonstrated the weaking binding force, while the SPP1-Quercetin complex, associated with NSCLC prognosis, exhibited stable structure formation through hydrogen bond interaction during MD simulation.

conclusionThe findings suggest that '

Indexed as

Antineoplastic Agents, PhytogenicCarcinoma, Non-Small-Cell LungDrugs, Chinese HerbalLung NeoplasmsA549 CellsCell ProliferationComputational BiologyHouttuyniaHumansMolecular Docking SimulationMolecular Dynamics SimulationAntineoplastic Agents, PhytogenicDrugs, Chinese Herbalbioinformaticscompetitive endogenous networksD.Don-Houttuynia cordata-Radix Scutellariae.molecular dynamicssecreted phosphoprotein 1Traditional 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.