In silico docking and target prediction of stigmasterol extracted from Chrysanthemum hortorum

Authors

  • Hawraa Kareem Al-yassery
  • Abbas H. Abdulsada

DOI:

https://doi.org/10.60988/p.v37i2S.183

Keywords:

MOE software; in silico study; hPXR; 7N4V; 7AXK

Abstract

This in silico study explores the therapeutic potential of stigmasterol (a phytosterol identified in Chrysanthemum hortorum via gas chromatography mass spectrometry; GC-MS) through computational docking against 14 proteins predicted using SwissTargetPrediction. These proteins, implicated in various cancers and metabolic pathways, were retrieved from the Protein Data Bank (PDB) and were analysed using the Molecular Operating Environment (MOE) software. Stigmasterol exhibited high binding affinities with key targets, notably 7N4V (Niemann-Pick C1-like 1; NPC1L1) and 7AXK (the ligand-binding domain of the human pregnane X receptor; hPXR), with ΔG values of -9.2442 and -9.0119 kcal/mol, respectively. Hydrophobic interactions involving residues such as TRP, TYR, PHE, and ILE enhanced ligand stability, while water-mediated contacts (particularly those observed in 4EY7 and 2ZNN) contributed to binding specificity. These findings suggest stigmasterol’s potential to modulate cancer-associated pathways, especially those of hormone-sensitive cancers, by influencing cholesterol metabolism and nuclear receptor signalling.

Author Biographies

Hawraa Kareem Al-yassery

Department of Pharmacognosy and Medicinal Plants, College of Pharmacy, University of Babylon, Hillah, Iraq

Abbas H. Abdulsada

Department of Pharmaceutical Chemistry, College of Pharmacy, University of Babylon, Hillah, Iraq

References

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Published

10-10-2025

How to Cite

[1]
Al-yassery, H.K. and Abdulsada, A.H. 2025. In silico docking and target prediction of stigmasterol extracted from Chrysanthemum hortorum. Pharmakeftiki . 37, 2S (Oct. 2025). DOI:https://doi.org/10.60988/p.v37i2S.183.