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Clinical and Experimental Gastroenterology
Article . 2026 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Dove Medical Press
Article . 2026 . Peer-reviewed
Data sources: Dove Medical Press
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Network Pharmacology, Molecular Docking and Dynamics Simulation Reveal the Anti-Colitis Mechanism of Smilax glabra Roxb.

Authors: Yuan Cui; Jingyi Hu; Yanan Li; Yiheng Tong; Hong Shen;

Network Pharmacology, Molecular Docking and Dynamics Simulation Reveal the Anti-Colitis Mechanism of Smilax glabra Roxb.

Abstract

Yuan Cui,1,2 Jingyi Hu,1 Yanan Li,1 Yiheng Tong,1 Hong Shen1 1Department of Gastroenterology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210001, People’s Republic of China; 2Department of Gastroenterology, Ningxian Second People’s Hospital, Qingyang, 745200, People’s Republic of ChinaCorrespondence: Hong Shen, Department of Gastroenterology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong Road, Qinhuai District, Nanjing City, Jiangsu Province, 210001, People’s Republic of China, Tel/Fax +86-025-86617141, Email shenhong999@njucm.edu.cnPurpose: A combination of bioinformatics methods including network pharmacology, molecular docking and molecular dynamics simulation was utilized to investigate the potential mechanism of Smilax glabra Roxb. (SG) in the treatment of ulcerative colitis (UC).Methods: We firstly used network pharmacology to screen out the major active components, targets and pathways. Secondly, the top 5 ingredients and the top 5 targets were docked with molecular docking technology respectively. Thirdly, the two protein-compound complexes with the lowest binding scores were subjected to molecular dynamics simulation (MDs).Results: A total of 15 bioactive compounds and 191 targets were identified, with the top 5 compounds being quercetin, beta-sitosterol, naringenin, stigmasterol and diosgenin, and the top 5 targets being AKT1, IL-6, TNF, TP53 and IL-1β. Predominant enrichment was observed in the PI3K-Akt signaling pathway, TNF signaling pathway, IL-17 signaling pathway, MAPK signaling pathway and apoptosis. Each set of molecular docking calculations was run 50 times and repeated 3 times for statistical analysis, with results showing that the majority of binding energies were less than − 5 kcal/mol, indicating successful docking. Specifically, stigmasterol–TP53 (− 9.10 ± 0.07 kcal/mol) and diosgenin–TP53 (− 8.80 ± 0.73 kcal/mol) are the two complexes with the lowest binding energies for MDs. According to the MDs, the stig-masterol-TP53 and diosgenin-TP53 complex shows ideal conformational stability and interaction energy.Conclusion: Multiple components of SG may exert therapeutic effects on UC through multiple targets and various signaling pathways. Novelty of this study lies in linking SG compounds to UC-specific targets and confirming stable docking/MDs interactions with TP53. However, further validation through in vivo and in vitro experiments is required to provide reliable evidence for clinical application. The left side features a botanical illustration of the plant with leaves, berries and roots. On the right, three sections detail the study components. The first section lists compounds: Quercetin, Naringenin, Beta-sitosterol, Stigmasterol and Diosgenin. The second section lists genes: TP53, AKT1, TNF, IL-1 beta and IL-6. The third section lists pathways: PI3AKT Pathway, TNF Pathway, IL-17 pathway, MAPK Pathway and Apoptosis. Each section is connected to the plant illustration, indicating the relationship between the plant’s components and its potential therapeutic effects.Smilax glabra Roxb. study: anti-colitis compounds, genes, pathways via bioinformatics.Keywords: Smilax glabra Roxb., ulcerative colitis, network pharmacology, molecular docking, molecular dynamics simulation

Keywords

Clinical and Experimental Gastroenterology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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