Synthesis and biological activity of 4-amino-3-chloro-1H-pyrrole-2,5-diones.
Halyna M KuznietsovaVasyl V HurmachAndriy V BychkoOlena I TykhoniukDemyd S MilokhovOlga V KhilyaYulian M VolovenkoVolodymyr K RybalchenkoPublished in: In silico pharmacology (2019)
4-Amino-3-chloro-1H-pyrrole-2,5-dione derivatives were designed and synthesized as potential tyrosine kinase inhibitors. One of them has been shown to inhibit growth of cancer cell lines and in vivo tumors. To determine the impact of side groups on biological activity the ability of different 4-amino-3-chloro-1H-pyrrole-2,5-diones to interact with ATP-binding domains of growth factor receptors and with model cell membranes were aimed to be discovered. The methods of molecular docking, short-molecular dynamics (in silico) and non-steady cyclic current-voltage characteristics (in vitro) were used. Five 4-amino-3-chloro-1H-pyrrole-2,5-diones were synthesized from 3,4-dichloro-1H-pyrrole-2,5-diones. All of them demonstrated the potential ability to form complexes with ATP-binding domains of EGFR and VEGFR2. These complexes were more stable compared to those with ANP. 4-Amino-3-chloro-1H-pyrrole-2,5-diones while interact with different bilayer lipid membranes caused an increase of their specific conductance and electric capacity, demonstrating the certain disturbance in lipid packing. Obtained data allowed us to suggest that proposed chemicals can interact with the surface of lipid bilayer, do likely intercalate into the membrane and form stable complexes with EGFR and VEGFR2. So, the prospect of developed chemicals to be effective EGFR and VEGFR2 inhibitors and therefore realize antitumor activity was concluded.
Keyphrases
- molecular docking
- molecular dynamics
- growth factor
- small cell lung cancer
- epidermal growth factor receptor
- tyrosine kinase
- vascular endothelial growth factor
- fatty acid
- molecular dynamics simulations
- density functional theory
- stem cells
- squamous cell carcinoma
- papillary thyroid
- electronic health record
- human health
- bone marrow
- mesenchymal stem cells
- big data
- transcription factor
- endothelial cells
- lymph node metastasis
- chronic myeloid leukemia