In this current effort, the 1H and 13C NMR spectra as well as quantum chemical computational effort of 1,8 DHAQ molecule analyzed based on density functional theory (DFT) with the help of Gauss-View 6.0.6 and Gaussian 09W program package. The molecular structure of 1,8 DHAQ optimized first through DFT/B3LYP hybrid functional/6-311++G (d,p) basis-set. The NMR (1H and 13C) isotropic chemical shift values of the titled molecule (TMS as reference) was examined through gauge-invariant-atomic orbital (GIAO) process in DMSO‑d6 polar solvent using above similar basis set, then was correlated with the experimental outcomes. All the findings of DHAQ molecule correlated very well with each other. Reduced Density Gradients (RDG Scatter plot) give an evidence of various non-covalent intramolecular interactions inside molecule. ELF and LOL analysis proof a chemical association of molecules. It also reveals the main localization & delocalization of boding and non-bonding electrons within molecule. An in-silico ADMET profiles (absorption, distribution, metabolism, excretion, and toxicity), bioactivity score, and drug-likeness (based on the Lipinski rules of five) of 1,8 DHAQ molecule was executed via various computational online server tools. This study predicts that titled molecule have noble physicochemical and pharmacokinetic properties. Furthermore, the inhibitory nature of the DHAQ molecule has estimated by means of molecular docking analysis using various selected target proteins. The molecular docking is an effective computational analysis in estimating the binding affinity and binding sites of ligand together with the target proteins, which is much effective for future structure-based drug designing. Thus, the formation of numerous hydrogen bonds and docked binding affinities depicts that hydroxy-substituted Anthraquinone might serve as main structure for the development of upcoming drugs. As a result, this effort provide a summary of the chemistry, biology, and toxicology of 1,8 DHAQ molecule, focusing on innovative drugs discovery for treatment of various cancer diseases in pharmaceutical industries.
Read full abstract