Zhi Chen, Cai Hua Zhou, Ya Rong Wei, Zhi Hui Sun, Ling Juan Deng
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引用次数: 0
Abstract
Context
This study investigates the reaction mechanism of luteolin with selenium dioxide in ethanol. Through a detailed search for transition states and thermodynamic energy calculations, it was found that the reaction proceeds via two possible pathways, leading to the formation of products P1 and P2, respectively. A common feature of both pathways is that the first elementary step results in the formation of the intermediate INT1. Kinetic calculations indicate that, within the temperature range of 273 to 340 K, the apparent rate constant (k2) for the formation of intermediate INT1 is significantly larger than those of k3 and k4, and all three rate constants increase substantially with temperature. Interestingly, the product P1 from the first pathway is thermodynamically and kinetically feasible, and is in complete agreement with experimental results. In contrast, the product P2 from the second pathway contains a Se-O-Se ether bond, which exhibits dynamic stability in its molecular structure. In conclusion, this study not only validates the experimental findings but also provides theoretical guidance for the synthesis of novel organoselenium compounds.
Methods
All calculations were performed using the DFT/M06-2X/6-31G(d,p) method. The solvent effect was considered by applying the IEFPCM model in all calculations. The free energy (∆G) of each compound at 298.15 K was obtained with a correction factor of 0.967. The apparent rate constants for each step were calculated over a temperature range from 273.15 to 373.15 K using transition state theory.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.