ArticleJournal of thoracic disease2023
Efficacy of artesunate in asthma: based on network pharmacology and molecular docking.
Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Leveraging network pharmacology in the treatment of asthma.ADMET & DMPK · 2026Review
- Formononetin-induced apoptosis in hepatocellular carcinoma: insights from mTOR inhibition and caspase-3 activation through in silico and in vitro approaches.Medical oncology (Northwood, London, England) · 2025Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Asthma has brought great economic burdens to community. Artesunate has shown certain effects on asthma experimentally, but relevant mechanisms are not clear. This study aims to systemically evaluate the efficacy and safety of artesunate and its metabolite, dihydroartemisinin (DHA), in asthma, based on network pharmacology and molecular docking. Methods: All the information before March 1st, 2022 was collected. We evaluated the physicochemistry and Adsorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties of artesunate and DHA by SwissADME and ADMETlab, identified targets of artesunate and DHA from SwissTargetPrediction and PharmMapper, and acquired genes participating in asthma from GeneCards and DisGeNET. Overlapping targets and hub genes were identified with Maximal Clique Centrality (MCC) algorithm in Cytoscape, cytoHubba. Enrichment analyses were performed to analyze the potential mechanisms and target sites. Molecular docking was utilized to investigate the receptor-ligand interactions on Autodock Vina and visualized in PyMOL. Results: Artesunate and DHA showed acceptable druglikeness and safety for clinical application. A total of 282 targets of compounds and 7,997 targets of asthma were identified. 172 overlapping targets were visualized in a compound-target and protein-protein interaction network. Biofunction analysis showed the clustering associations with biosynthesis and metabolism of and response to steroid hormone, immune and inflammatory response, airway hyperresponsiveness, airway remodeling and cell survival and death regulation. Conclusions: Artesunate has the potential to be a potent and safe anti-asthmatic agent based on diverse therapeutic mechanisms and acceptable safety.
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Registered trials
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.