In silico studies, nitric oxide, and cholinesterases inhibition activities of pyrazole and pyrazoline analogs of diarylpentanoids.
Siti Munirah Mohd FaudziSze-Wei LeongFaruk A AuwalFaridah AbasLam Kok WaiSyahida AhmadChau Ling ThamKhozirah ShaariNordin H LajisBohari M YaminPublished in: Archiv der Pharmazie (2020)
A new series of pyrazole, phenylpyrazole, and pyrazoline analogs of diarylpentanoids (excluding compounds 3a, 4a, 5a, and 5b) was pan-assay interference compounds-filtered and synthesized via the reaction of diarylpentanoids with hydrazine monohydrate and phenylhydrazine. Each analog was evaluated for its anti-inflammatory ability via the suppression of nitric oxide (NO) on IFN-γ/LPS-activated RAW264.7 macrophage cells. The compounds were also investigated for their inhibitory capability toward acetylcholinesterase (AChE) and butyrylcholinesterase (BChE), using a modification of Ellman's spectrophotometric method. The most potent NO inhibitor was found to be phenylpyrazole analog 4c, followed by 4e, when compared with curcumin. In contrast, pyrazole 3a and pyrazoline 5a were found to be the most selective and effective BChE inhibitors over AChE. The data collected from the single-crystal X-ray diffraction analysis of compound 5a were then applied in a docking simulation to determine the potential binding interactions that were responsible for the anti-BChE activity. The results obtained signify the potential of these pyrazole and pyrazoline scaffolds to be developed as therapeutic agents against inflammatory conditions and Alzheimer's disease.
Keyphrases
- molecular docking
- nitric oxide
- anti inflammatory
- molecular dynamics simulations
- induced apoptosis
- nitric oxide synthase
- inflammatory response
- oxidative stress
- adipose tissue
- high resolution
- molecular dynamics
- dendritic cells
- human health
- cell cycle arrest
- high throughput
- cognitive decline
- immune response
- machine learning
- risk assessment
- endoplasmic reticulum stress
- case control
- atomic force microscopy
- electron microscopy
- tissue engineering
- data analysis
- deep learning
- cell death
- small molecule
- mass spectrometry
- signaling pathway
- tandem mass spectrometry
- oxide nanoparticles