Potential thiosemicarbazone-based enzyme inhibitors: Assessment of antiproliferative activity, metabolic enzyme inhibition properties, and molecular docking calculations.
Hasan YakanÜmit M KocyigitHalit MuĞluMustafa ErgulSultan ErkanEmre GuzelParham Taslimiİlhami GulçinPublished in: Journal of biochemical and molecular toxicology (2022)
A new series of thiosemicarbazone derivatives (1-11) were prepared from various aldehydes and isocyanates with high yields and practical methods. The structures of these compounds were elucidated by Fourier transform infrared, 1 H-nuclear magnetic resonance (NMR), 13 C-NMR spectroscopic methods and elemental analysis. Cytotoxic effects of target compounds were determined by 2,3-bis-(2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazolium-5-carboxanilide assay and compound 1 showed significant cytotoxic activity against both MCF-7 and MDA-MB-231 cells, with half-maximal inhibitory concentration values of 2.97 μM and 6.57 μM, respectively. Moreover, in this study, the anticholinergic and antidiabetic potentials of these compounds were investigated. To this aim, the effect of the newly synthesized thiosemicarbazone derivatives on the activities of acetylcholinesterase (AChE) and αglycosidase (α-Gly) was evaluated spectrophotometrically. The title compounds demonstrated high inhibitory activities compared to standard inhibitors with K i values in the range of 122.15-333.61 nM for α-Gly (K i value for standard inhibitor = 75.48 nM), 1.93-12.36 nM for AChE (K i value for standard inhibitor = 17.45 nM). Antiproliferative activity and enzyme inhibition at the molecular level were performed molecular docking studies for thiosemicarbazone derivatives. 1M17, 5FI2, and 4EY6, 4J5T target proteins with protein data bank identification with (1-11) compounds were docked for anticancer and enzyme inhibition, respectively.
Keyphrases
- molecular docking
- magnetic resonance
- molecular dynamics simulations
- photodynamic therapy
- high resolution
- induced apoptosis
- solid state
- cell cycle arrest
- structure activity relationship
- machine learning
- high throughput
- magnetic resonance imaging
- light emitting
- computed tomography
- oxidative stress
- ionic liquid
- heart rate
- cell death
- risk assessment
- binding protein
- resistance training
- case control
- pi k akt
- single cell
- big data
- atomic force microscopy
- high speed