Synthesis and Molecular Docking of Some Novel 3-Thiazolyl-Coumarins as Inhibitors of VEGFR-2 Kinase.
Tariq Z AbolibdaMaher FathallaBasant FaragMagdi E A ZakiSobhi Mohamed GomhaPublished in: Molecules (Basel, Switzerland) (2023)
One crucial strategy for the treatment of breast cancer involves focusing on the Vascular Endothelial Growth Factor Receptor (VEGFR-2) signaling system. Consequently, the development of new (VEGFR-2) inhibitors is of the utmost importance. In this study, novel 3-thiazolhydrazinylcoumarins were designed and synthesized via the reaction of phenylazoacetylcoumarin with various hydrazonoyl halides and α-bromoketones. By using elemental and spectral analysis data (IR, 1 H-NMR, 13 C-NMR, and Mass), the ascribed structures for all newly synthesized compounds were clarified, and the mechanisms underlying their formation were delineated. The molecular docking studies of the resulting 6-(phenyldiazenyl)-2 H -chromen-2-one ( 3 , 6a-e , 10a-c and 12a-c ) derivatives were assessed against VEGFR-2 and demonstrated comparable activities to that of Sorafenib (approved medicine) with compounds 6d and 6b showing the highest binding scores (-9.900 and -9.819 kcal/mol, respectively). The cytotoxicity of the most active thiazole derivatives 6d , 6b , 6c , 10c and 10a were investigated for their human breast cancer (MCF-7) cell line and normal cell line LLC-Mk2 using MTT assay and Sorafenib as the reference drug. The results revealed that compounds 6d and 6b exhibited greater anticancer activities (IC 50 = 10.5 ± 0.71 and 11.2 ± 0.80 μM, respectively) than the Sorafenib reference drug (IC 50 = 5.10 ± 0.49 μM). Therefore, the present study demonstrated that thiazolyl coumarins are potential (VEGFR-2) inhibitors and pave the way for the synthesis of additional libraries based on the reported scaffold, which could eventually lead to the development of efficient treatment for breast cancer.
Keyphrases
- vascular endothelial growth factor
- molecular docking
- endothelial cells
- molecular dynamics simulations
- high resolution
- magnetic resonance
- solid state
- mass spectrometry
- high throughput
- breast cancer cells
- computed tomography
- combination therapy
- deep learning
- single molecule
- structure activity relationship
- tyrosine kinase