MOLECULAR DOCKING, PHARMACOPHORE MODELLING, AND ADME-TOXICITY PREDICTION OF CURCUMIN ANALOG COMPOUNDS AS INFLAMMATORY INHIBITOR ON RHEUMATOID ARTHRITIS

  • Chabib L
  • Awaluddin R
  • Ikawati Z
  • et al.
N/ACitations
Citations of this article
18Readers
Mendeley users who have this article in their library.

Abstract

Objective: The objective of this research was to examine the activity and cytokine inhibitory mechanism of curcumin analog compound against multiple protein targets in a patient with rheumatoid arthritis (RA) and identify the absorption, distribution, metabolism, excretion and toxicity (ADME-toxicity).Methods: Identification was carried out by in silico through pharmacophore modelling using Ligand Scout, molecular docking using iGemDock in various protein (tumor necrosis factor alpha (TNF-α), interleukin-1β (IL-1β), transcription factors, signalling kinase, and cyclooxygenase enzyme) and identification of ADME-toxicity based on the physicochemical properties of the compound to simulate, predict and analyze interaction between protein and compound.Results: The obtained results indicated that gamavuton (GVT-0) and penta-gamavuton (PGV) possessed high bioavailability with lower toxicity than curcumin. However, GVT-0, a curcumin analog, possessed high and specific inhibitory activity on tumor necrosis factor-α converting enzyme (TACE) and interleukin converting enzyme (ICE)/Caspase-1.Conclusion: GVT-0 as a curcumin derivate possessed the best inhibitory activity against TNF-α converting enzyme and IL-1β converting enzyme which are the main route of inflammatory mediators in rheumatoid arthritis. In addition, GVT-0 influences less in metabolism of CYP450 enzymes, and has low toxicity.

Cite

CITATION STYLE

APA

Chabib, L., Awaluddin, R., Ikawati, Z., Martien, R., & Ismail, H. (2017). MOLECULAR DOCKING, PHARMACOPHORE MODELLING, AND ADME-TOXICITY PREDICTION OF CURCUMIN ANALOG COMPOUNDS AS INFLAMMATORY INHIBITOR ON RHEUMATOID ARTHRITIS. International Journal of Pharmacy and Pharmaceutical Sciences, 9(9), 16. https://doi.org/10.22159/ijpps.2017v9i9.20450

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free