A comprehensive study of the influence of non-covalent interactions on electron density redistribution during the reaction between acetic acid and methylamine
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引用次数: 0
Abstract
Context
A chemical reaction can be described, from a physicochemical perspective, as a redistribution of electron density. Additionally, non-covalent interactions locally modify the electron density distribution. This study aims to characterize the modification of reactivity caused by the presence of non-covalent interactions such as hydrogen bonds, in a reaction involving the formation of two bonds and the breaking of two others: CH₃COOH + NH₂CH₃ → CH₃CONHCH₃.
Methods
In this work, we will follow the how a reaction mechanism involving the formation of two chemical bonds and the breaking of two other chemical bonds is affected by non-covalent interaction. To this end, the reaction force will be used to define the region of the reagents, the region of the transition state, and the region of the products. We will analyze the redistributions of electron density and electron pairs in each of the regions of the reaction mechanisms, using QTAIM and ELF, topological analyses, respectively, for the reaction between methylamine and acetic acid, in the presence of 0 to 4 water molecules. DFT calculations were carried out at the LC-ωPBE/6–311 + + G(d,p) + GD3BJ level along the intrinsic reaction coordinate of the one-step reaction leading to the formation of methylacetamide.
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.