Crystal Structure, Theoretical Analysis, and Protein/DNA Binding Activity of Iron(III) Complex Containing Differently Protonated Pyridoxal- S -Methyl-Isothiosemicarbazone Ligands.
Violeta JevtovićLuka GolubovićBadriah AlshammariMaha Raghyan AlshammariSahar Y RajehMaha Awjan AlreshidiOdeh A O AlshammariAleksandra RakićDušan S DimićPublished in: International journal of molecular sciences (2024)
Pyridoxal- S -methyl-isothiosemicarbazone (PLITSC) is a member of an important group of ligands characterized by different complexation modes to various transition metals. In this contribution, a new complex containing two differently protonated PLITSC ligands ([Fe(PLITSC-H)(PLITSC)]SO 4 )∙2.5H 2 O was obtained. The crystal structure was solved by the X-ray analysis and used further for the optimization at B3LYP/6-311++G(d,p)(H,C,N,O,S)/def2-TZVP(Fe) level of theory. Changes in the interaction strength and bond distance due to protonation were observed upon examination by the Quantum Theory of Atoms in Molecules. The protein binding affinity of [Fe(PLITSC-H)(PLITSC)]SO 4 towards transport proteins (Bovine Serum Albumin (BSA) and Human Serum Albumin (HSA)) was investigated by the spectrofluorimetric titration and molecular docking. The interactions with the active pocket containing fluorescent amino acids were examined in detail, which explained the fluorescence quenching. The interactions between complex and DNA were followed by the ethidium-bromide displacement titration and molecular docking. The binding along the minor groove was the dominant process involving complex in the proximity of DNA.
Keyphrases
- molecular docking
- crystal structure
- dna binding
- amino acid
- molecular dynamics simulations
- single molecule
- transcription factor
- binding protein
- cell free
- high resolution
- energy transfer
- molecular dynamics
- quantum dots
- magnetic resonance imaging
- risk assessment
- mass spectrometry
- living cells
- atomic force microscopy
- human health
- nucleic acid
- dual energy
- heavy metals
- transition metal
- data analysis
- monte carlo