Journals / Turkish Computational and Theoretical Chemistry / 2025 / Volume: 9 Issue: 5 Special Issue

Integrated Pharmacological Profiling of Hymenocallis littoralis: Anti-Inflammatory Activity, Drug-Likeness and Molecular Target Analysis

Aruna Kumari Dokkada(Vignan Institute of Pharmaceutical Technology)0000-0001-8167-6456
Kanaka Raju Addipalli(Vignan Institute of Pharmaceutical Technology)0000-0003-0663-8825
Vasudha Dadi(Vignan Institute of Pharmaceutical Technology)0000-0003-3862-0590
Pages
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Publication Date
2025-12-26
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These findings collectively indicate that Hymenocallis littoralis, particularly its ethyl acetate fraction, holds substantial therapeutic potential for inflammation management and related disorders

📌 3 Key Takeaways

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Objective & Hypothesis:The present study explores the phytochemical and biological potential of Hymenocallis littoralis, combining computational and laboratory investigations.
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Key Findings & Data:Network pharmacology analyses using KEGG Pathway and Cytoscape identified HSP90AA1, HIF1A, and HSP90AB1 as highly interacting proteins with the selected compounds, with HIF1A recognized as a critical inflammation-related target.
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Conclusion & Impact:These findings collectively indicate that Hymenocallis littoralis, particularly its ethyl acetate fraction, holds substantial therapeutic potential for inflammation management and related disorders
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Hymenocallis littoralis · Anti-Inflammatory activity · Network Pharmacology

Abstract

The present study explores the phytochemical and biological potential of Hymenocallis littoralis, combining computational and laboratory investigations. Phytochemical analysis confirmed the presence of alkaloids, glycosides, tannins, flavonoids, steroids, and phenolic compounds as key bioactive constituents. SWISSADMET predictions revealed that all twelve selected compounds exhibit favorable pharmacokinetic properties, adhering to Lipinski’s Rule of Five and demonstrating high gastrointestinal solubility. Network pharmacology analyses using KEGG Pathway and Cytoscape identified HSP90AA1, HIF1A, and HSP90AB1 as highly interacting proteins with the selected compounds, with HIF1A recognized as a critical inflammation-related target. Molecular docking studies highlighted Quercetin 5,7,3',4'-tetramethyl ether 3-rutinoside (-10.3 kcal/mol) and Hippeastrine (-9.9 kcal/mol) as potent inhibitors of the inflammatory target protein 4BQG. In vitro evaluations demonstrated significant anti-inflammatory activity of the ethyl acetate fraction of Hymenocallis littoralis. These findings collectively indicate that Hymenocallis littoralis, particularly its ethyl acetate fraction, holds substantial therapeutic potential for inflammation management and related disorders

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Cite This Article

Dokkada, A. K., Addipalli, K. R., Dadi, V. (2025). Integrated Pharmacological Profiling of Hymenocallis littoralis: Anti-Inflammatory Activity, Drug-Likeness and Molecular Target Analysis. Turkish Computational and Theoretical Chemistry, Volume: 9 Issue: 5 Special Issue. https://doi.org/10.33435/tcandtc.1702524

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References (17)

  1. M.O. Agu, D.E. Ekpo, A.I. Okafor, Computational analysis of pharmacokinetic properties and molecular docking of anti-inflammatory compounds, Journal of Pharmacological Sciences, 150 (2022) 103–112.
  2. L. Chen, H. Deng, H. Cui, J. Fang, Z. Zuo, J. Deng, L. Zhao, Inflammatory responses and inflammation-associated diseases in organs, Oncotarget, 9 (2018) 7204–7218.
  3. R. Deshpande, In silico approaches in evaluating the therapeutic potential of phytochemicals: Recent advances, Pharmacognosy Reviews, 17(2023) 45–56.
  4. R. Medzhitov, Origin and physiological roles of inflammation, Nature 454 (2008) 428–435.
  5. A.W. Meerow, D.A. Snijman, Amaryllidaceae, in: K. Kubitzki (Ed.), The Families and Genera of Vascular Plants, vol. 3 (1998), Springer, pp. 83–110.
  6. Chunduru, J., Ganesan, P., and Manoharan, S, Anti-Inflammatory Activity of Ethanolic Extract of Flowers Hymenocallis littoralis (Jacq.) Salisb. By HRBC Membrane Stabilization Method. Translational Biomedicine, 7(2) (2016) 1-5.
  7. S. Singh, et al., Antidiabetic and antioxidant activity of Hymenocallis littoralis root extracts, Pharmacognosy Magazine 14 (2018) 586–592.
  8. S. Banerjee, et al., Evaluation of phytochemical screening and anti-inflammatory activity of leaves and stem of Mikania scandens (L.) Wild, Annals of Medical and Health Sciences Research 4 (2014) 532–536.
  9. N.I. Osman, et al., In vitro xanthine oxidase and albumin denaturation inhibition assay of Barringtonia racemosa L. and total phenolic content analysis for potential anti-inflammatory use in gouty arthritis, Journal of Intercultural Ethnopharmacology,5 (2016) 343–349.
  10. D.W. Huang, B.T. Sherman, Q. Tan, J. Kir, D. Liu, D. Bryant, R.A. Lempicki, DAVID bioinformatics resources: Expanded annotation database and novel algorithms to better extract biology from large gene lists, Nucleic Acids Research 35 (2007) W169–W175.
  11. UniProt Consortium, UniProt: The universal protein knowledgebase in 2023, Nucleic Acids Research 51(2023) D523–D531.
  12. G. Stelzer, et al., The GeneCards suite: From gene data mining to disease genome sequence analyses, Current Protocols in Bioinformatics 54 (2016) 1.30.1–1.30.33.
  13. T. Liu, L. Zhang, D. Joo, S.C. Sun, NF-κB signaling in inflammation, International Immunopharmacology 114 (2023) 109504.
  14. Y. Xu, et al., Identification of inflammation-related hub genes using CytoHubba and PPI network analysis, Frontiers in Immunology 15 (2024) 1357632.
  15. J. Eberhardt, D. Santos-Martins, A.F. Tillack, S. Forli, AutoDock Vina 1.2.0: New docking methods, expanded force field, and python bindings, Journal of Chemical Information and Modeling 61 (2021) 3891–3898.
  16. M.M. Jaghoori, B. Bleijlevens, S.D. Olabarriaga, 1001 Ways to run AutoDock Vina for virtual screening, Journal of Computer-Aided Molecular Design 30 (2016) 237–249.
  17. D. Vasudha, A. Jagadeesh, S.K. Konidala, H. Yasin, S.N. Mali, R.R. Bhandare, A.B. Shaik, Development of orally active anti-inflammatory agents: In vivo and in silico analysis of naphthalene-chalcone derivatives based on 2-acetyl-6-methoxy naphthalene, Chemical Physics Impact 8 (2024) 100472.