Network pharmacology based anti – inflammatory activity of Datura (Datura metel L.): an In-silico study
DOI:
https://doi.org/10.70066/jahm.v13i12.2482Keywords:
anti-inflammatory activity, Ayurveda, Datura, in-silico studyAbstract
Background: Rheumatoid arthritis (RA), is a chronic autoimmune disease, which is having the symptoms joint pain, swelling, and gradual joint destruction by refractory joint inflammation. Even though the current available treatments are effective in managing and reducing the progression of the disease but these interventions are associated with severe complications. Datura metel L., is a shrub which is known for its therapeutic potential in Ayurveda for the treatment of a variety of inflammatory conditions like arthritis. Objective: A network pharmacology-based study was planned to validate Ayurveda knowledge and to understand the mechanism of action of Datura in inflammation. Materials and Methods: The databases like Dr. Dukes, PubChem, Gene Cards and IMPPAT were utilised to identify the potential targets and related pathways. The open-source databases revealed 14 phytocompounds in Datura and the Swiss target Prediction Server predicted 79 target protein molecules. The STRING 10.5, KEGG Pathway database and Cytoscape 3.7.2 were utilised in the network pharmacology study for identifying protein targets, potential interactions, pathway analysis and for the construction of the network. Results: 14 phytocompounds identified in Datura which were expected to be targeting 79 inflammatory proteins. The gene enrichment analysis identified 27 targets among which The MAPK signaling pathway acts as the key hub. The majority of compounds fulfilled acceptable standards in drug-likeness screening. The phytocompounds Atropine (1.39) and Hyoscyamine (1.29) shows high score according to drug-likeness screening which predicts the suitability of the compounds as a drug in the disease. Conclusion: The study concludes that the phytocompounds like hyoscyamine, deoxywithastramonolide, fastusic acid, scopolamine, and tigloidine have major action on TNF, IL6, COX, APK14, and other proteins through P38 MAPK signalling pathway and the Rheumatoid arthritis pathway. The network pharmacology study validates the anti-inflammatory potential of Datura metel.
References
Zhu M, Ding Q, Lin Z, Fu R, Zhang F, Li Z, et al. New Targets and Strategies for Rheumatoid Arthritis: From Signal Transduction to Epigenetic Aspect. Biomolecules [Internet]. 2023 Apr 28 [cited 2023 Nov 6];13(5):766–6. Available from: https://pubmed.ncbi.nlm.nih.gov/37238636/
Namewar PD, Patil AB. Toxic Plant Dhattura (Datura metel Linn)–A Medicine in Ayurved Literature And Its Pharmacological Activities-A Review. The Journal of Oriental Research Madras. 2024 Jan; Vol. XCV-I available from: https://www.researchgate.net/publication/382091445_Toxic_Plant_Dhattura_Datura_Metel_Linn_A_Medicine_In_Ayurved_Literature_And_Its_Pharmacological_Activities_-A_Review
Islam T, Ara I, Islam T, Sah PK, de Almeida RS, Matias EF, Ramalho CL, Coutinho HD, Islam MT. Ethnobotanical uses and phytochemical, biological, and toxicological profiles of Datura metel L.: A review. Current Research in Toxicology. 2023 Jan 1; 4:100106-6. Available from: https://www.sciencedirect.com/science/article/pii/S2666027X2300004X
Prasathkumar M, Anisha S, Khusro A, Mohamed Essa M, Babu Chidambaram S, Walid Qoronfleh M, et al. Anti-pathogenic, anti-diabetic, anti-inflammatory, antioxidant, and wound healing efficacy of Datura metel L. leaves. Arabian Journal of Chemistry [Internet]. 2022 Sep 1;15(9):104112. Available from: https://www.sciencedirect.com/science/article/pii/S1878535222004282
1.Joshi CP, Baldi A, Kumar N, Pradhan J. Harnessing network pharmacology in drug discovery: an integrated approach. Naunyn-Schmiedeberg’s Archives of Pharmacology. 2024 Dec 2;398(5):4689–703. Available from: https://link.springer.com/article/10.1007/s00210-024-03625-3
Ugare SR, Khatib NA, Patil VS, Patil D, Dodakallanavar J. Computational and experimental pharmacology reveals hepatoprotective effect of Cucurbita pepo in isoniazid-induced liver cirrhosis. Journal of Applied Pharmaceutical Science. 2024 Jan 4;14(1):177-88. doi:10.7324/JAPS.2024.148502 available from: https://japsonline.com/admin/php/uploads/4112_pdf.pdf
Chen IJ, Foloppe N. Drug-like bioactive structures and conformational coverage with the LigPrep/ConfGen suite: comparison to programs MOE and catalyst. Journal of chemical information and modeling. 2010 Apr 27;50(5):822-39. DOI:10.1021/ci100026x available from: https://pubs.acs.org/doi/full/10.1021/ci100026x
Szklarczyk D, Gable AL, Nastou KC, Lyon D, Kirsch R, Pyysalo S et al. The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets. Nucleic acids research. 2020 Nov 25;49(D1):D605–12. https://doi.org/10.1093/nar/gkaa1074
Khanal P, Patil VS, Bhandare VV, Dwivedi PS, Shastry CS, Patil BM,et al. Computational investigation of benzalacetophenone derivatives against SARS-CoV-2 as potential multi-target bioactive compounds. Computers in Biology and Medicine. 2022 Jul 1;146:105668. DOI: 10.1016/j.compbiomed.2022.105668
Patil AA, Suryawanshi SS. Computer-Assisted Prediction of Drug-Like Properties of Selected Phytochemicals from Terminalia chebula. International Journal of Pharmaceutical Investigation. 2025 Feb 12;15(2):614–30. DOI: https://jpionline.org/10.5530/ijpi.20250067
Morris GM, Huey R, Lindstrom W, Sanner MF, Belew RK, Goodsell DS, Olson AJ. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. Journal of computational chemistry. 2009 Dec;30(16):2785-91. DOI: https://doi.org/10.1002/jcc.21256
Raudvere U, Kolberg L, Kuzmin I, Arak T, Adler P, Peterson H et al. g: Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update). Nucleic acids research. 2019 Jul 2;47(W1):W191-8. https://doi.org/10.1093/nar/gkz369
Raman K. Construction and analysis of protein–protein interaction networks. Automated experimentation. 2010 Dec;2(1)2 available from: https://link.springer.com/content/pdf/10.1186/1759-4499-2-2.pdf
Schett G, Tohidast-Akrad M, Smolen JS, Schmid BJ, Steiner CW, Bitzan P, et al. Activation, differential localization, and regulation of the stress-activated protein kinases, extracellular signal-regulated kinase, c-Jun N-terminal kinase, and p38 mitogen-activated protein kinase, in synovial tissue and cells in rheumatoid arthritis. Arthritis & Rheumatism. 2000 Nov;43(11):2501–12 DOI: https://doi.org/10.1002/1529-0131(200011)43:11%3C2501::aid-anr18%3E3.0.co;2-k
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Dr. Sreeja Kaimal V, Dr. Rajeshwari V KAMAT, Dr. Sunil S Jalalpure, Dr. Amal S Chandran

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors retain the copyright of their work and grant the Journal of Ayurveda and Holistic Medicine (JAHM) the right of first publication. All published articles are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license, which permits non-commercial sharing, use, distribution, and adaptation with proper attribution and the same license terms.
JAHM ensures free, irrevocable, worldwide access to its content. Users may copy, distribute, display, and share published works for non-commercial purposes with appropriate credit to the author(s) and the journal. Limited printed copies for personal, non-commercial use are allowed under the same license.
If a submission is not accepted for publication, the author(s) will be notified.
By submitting, authors confirm that the work is original, that all listed authors have contributed and approved it, and that it does not infringe any third-party rights or duplicate work submitted elsewhere.