Structural modeling and simulation studies of human cyclooxygenase (COX) isozymes with selected terpenes:

Swati Singh1, Veda P Pandey, Huma Naaz

  • 1Bioinformatics Infrastructure Facility, Center of Excellence in Bioinformatics, Department of Biochemistry, University of Lucknow, Lucknow 226007, India.

Insights

Terpenoids show potential as selective inhibitors of cyclooxygenase-1 (COX-1), a target for cancer therapy. Oleanolic acid and beta-carotene exhibit strong COX-1 inhibitory activity, suggesting new therapeutic avenues.

Area of Science:

  • Biochemistry
  • Pharmacology
  • Computational Chemistry

Background:

  • Cyclooxygenase-1 (COX-1) plays a role in human health and diseases, including cancer.
  • Developing safe and selective COX-1 inhibitors is a therapeutic goal.
  • Terpenoids are natural compounds with potential medicinal properties.

Purpose of the Study:

  • To investigate the potential of terpenoids as selective inhibitors of human COX-1 and COX-2 isozymes.
  • To identify specific terpenoids with potent COX-1 inhibitory activity.
  • To compare the inhibitory efficacy of terpenoids with known drugs.

Main Methods:

  • In silico modeling of human COX-1 and COX-2 isozymes.
  • Molecular docking simulations to assess the binding affinities of terpenoids.
  • Evaluation of binding energies and inhibition constants (Ki).

Main Results:

  • All 10 tested terpenoids demonstrated greater potency as COX-1 inhibitors compared to COX-2 inhibitors.
  • Oleanolic acid emerged as the most potent inhibitor of both COX-1 and COX-2.
  • Beta-carotene was identified as the most selective COX-1 inhibitor among the tested terpenoids.
  • Ibuprofen and aspirin showed preferential inhibition of COX-1 and COX-2, respectively.

Conclusions:

  • Terpenoids, particularly oleanolic acid and beta-carotene, represent promising candidates for developing selective COX-1 inhibitors.
  • These findings support the exploration of terpenoids as novel therapeutic agents for COX-1-related diseases, including cancer.
  • In silico methods provide a valuable approach for screening natural compounds as drug candidates.

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