Synthesis, Crystallographic Structure, Theoretical Analysis, Molecular Docking Studies, and Biological Activity Evaluation of Binuclear Ru(II)-1-Naphthylhydrazine Complex.
Thomas EichhornFranz KolbeStefan MišićDušan S DimićIbrahim MorganMohamad SaoudDejan A MilenkovićZoran MarkovićTobias RüfferJasmina Dimitrić MarkovićGoran N KaluđerovićPublished in: International journal of molecular sciences (2022)
Ruthenium(II)-arene complexes have gained significant research interest due to their possible application in cancer therapy. In this contribution two new complexes are described, namely [{RuCl(η 6 - p -cymene)} 2 (μ-Cl)(μ-1- N , N' -naphthyl)]X (X = Cl, 1 ; PF 6 , 2 ), which were fully characterized by IR, NMR, and elemental microanalysis. Furthermore, the structure of 2 in the solid state was determined by a single crystal X-ray crystallographic study, confirming the composition of the crystals as 2·2MeOH . The Hirshfeld surface analysis was employed for the investigation of interactions that govern the crystal structure of 2·2MeOH . The structural data for 2 out of 2·2MeOH was used for the theoretical analysis of the cationic part [{RuCl(η 6 - p -cymene)} 2 (μ-Cl)(μ-1- N , N' -naphthyl)] + ( 2a ) which is common to both 1 and 2 . The density functional theory, at B3LYP/6-31+G(d,p) basis set for H, C, N, and Cl atoms and LanL2DZ for Ru ions, was used for the optimization of the 2a structure. The natural bond orbital and quantum theory of atoms in molecules analyses were employed to quantify the intramolecular interactions. The reproduction of experimental IR and NMR spectra proved the applicability of the chosen level of theory. The binding of 1 to bovine serum albumin was examined by spectrofluorimetry and molecular docking, with complementary results obtained. Compound 1 acted as a radical scavenger towards DPPH • and HO • radicals, along with high activity towards cancer prostate and colon cell lines.
Keyphrases
- molecular docking
- solid state
- density functional theory
- molecular dynamics simulations
- high resolution
- cancer therapy
- molecular dynamics
- magnetic resonance
- prostate cancer
- energy transfer
- papillary thyroid
- big data
- machine learning
- magnetic resonance imaging
- squamous cell carcinoma
- crystal structure
- cell proliferation
- electronic health record
- computed tomography
- room temperature
- squamous cell
- young adults
- signaling pathway
- mass spectrometry
- ionic liquid
- deep learning
- artificial intelligence