ArticleBMC oral health2024
Based on network pharmacology and molecular docking to explore the potential mechanism of shikonin in periodontitis.
Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- In silico evaluation ofJournal of Taibah University Medical Sciences · 2026Article
- Identification of potential molecular targets of rhaponticin in the treatment of periodontitis using bioinformatics tools.Scientific reports · 2025Article
- Exploring the Therapeutic Potential of Epigallocatechin-3-gallate (Green Tea) in Periodontitis Using Network Pharmacology and Molecular Modeling Approach.International journal of molecular sciences · 2025Article
- Therapeutic Potential of Extracellular Vesicles in Oral Inflammation.International journal of molecular sciences · 2025Review
- Vericiguat attenuates cyclosporine A-induced nephropathy by targeting the NF-κB/TGF-β1 axis: an integrated network pharmacology, Mendelian randomization, and experimental study.Frontiers in immunology · 2025Article
- Computational-aided drug design strategies for drug discovery and development against oral diseases.Frontiers in pharmacology · 2025Review
- Analysis of protein interaction network in obesity linked with periodontitis.Bioinformation · 2024Article
- Targeting periodontitis with shikonin: Molecular insights and therapeutic prospects - A narrative review.Journal of Indian Society of PeriodontologyReview
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Authors and funding
5 authors.
Funding
Abstract
objectivesTo investigate the potential mechanisms of shikonin in preventing and treating periodontitis using network pharmacology and molecular docking methods. MATERIALS AND
methodsThe targets of shikonin were obtained in TCMSP and SEA databases, and targets of periodontitis were gathered from the OMIM, GeneCards and Drugbank Databases. The intersecting targets were entered into the DAVID database to obtain the relevant biological functions and pathways by GO and KEGG enrichment analysis. The obtained targets were analysed the protein-protein interaction (PPI) in STRING platform. In Cytoscape 3.8.0, the network analysis function with the MCODE plug-in were used to obtain the key targets, of shikonin and periodontitis. Molecular docking and molecular dynamics simulation (MD) were used to assess the affinity between the shikonin and the key targets.
resultsShikonin was screened for 22 targets and periodontitis was screened for 944 targets, the intersecting targets were considered as potential therapeutic targets. The targets played important roles in cellular response to hypoxia, response to xenobiotic stimulus and positive regulates of apoptotic process by GO enrichment analysis. 10 significant pathways were analyzed by KEGG, such as human cytomegalovirus infection and PI3K-Akt signaling pathway, etc. Cytoscape software screened the key genes including AKT1, CCL5, CXCR4, PPARG, PTEN, PTGS2 and TP53. Molecular docking and MD results showed that shikonin could bind stably to the targets.
conclusionsThe present study enriched the molecular mechanisms in periodontitis with shikonin, providing potential therapeutic targets for periodontitis.
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