Synthesis and spectroscopic properties of (N/O) mono- and dispirocyclotriphosphazene derivatives with benzyl pendant arms: study of biological activity.
Özlem İşcanReşit CemaloĞluNuran AsmafİlİzZeynel KiliÇLeyla AÇikPelin ÖzbedenYasemin TümerPublished in: Turkish journal of chemistry (2020)
The Cl replacement reactions of hexachlorocyclotriphosphazene (trimer; N 3 P 3 Cl 6 ) with sodium (N-benzyl)- aminopropanoxides (1 and 2) produced monospiro- (3 and 4), cis-, and trans-dispirocyclotriphosphazenes (13-16). The monospiro tetrakis-aminocyclotriphosphazenes (5-12) were obtained by the Cl substitutions of 3 and 4 with different secondary amines. The cis- (13 and 14) and trans-dispirophosphazenes (15 and 16) possessed 2 chiral P centers, and they were able to present meso and racemic forms, respectively. Moreover, the structures of compounds 5 and 14 were designated using X-ray data. The absolute configuration of compound 14 was found as SR in the solid state. Analytical and spectroscopic data of the phosphazenes were consistent with their suggested structures. Antimicrobial activities of the benzyl-pendant-armed cyclotriphosphazenes were scrutinized against G(+) and G(-) bacteria and yeast strains. The bacterium most affected by the synthesized compounds was Pseudomonas aeruginosa . Minimum inhibitory concentrations and minimal bacterial concentrations were in the range of 125-500 μM. Interactions between the phosphazenes (3-12 and 15) and plasmid DNA were studied with agarose gel electrophoresis. The phosphazene- DNA interaction studies of the cyclotriphosphazenes revealed that phosphazenes 3, 4, and 15 had a substantial effect on supercoiled DNA by cleavage of the double helix.
Keyphrases
- solid state
- circulating tumor
- cell free
- single molecule
- pseudomonas aeruginosa
- high resolution
- escherichia coli
- molecular docking
- electronic health record
- big data
- staphylococcus aureus
- cystic fibrosis
- nucleic acid
- crispr cas
- circulating tumor cells
- ionic liquid
- single cell
- liquid chromatography
- mass spectrometry
- deep learning