César Barrales-Martínez, Danilo J. Carmona, Javier Oller, Andrés F. Flor-Lopez, Kevin Urrutia-Fernández, Sebastián Richter, Agustín Albornoz, Jorge Martínez-Araya, Pablo Jaque
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Reaction force constant as a descriptor of the principle of non-perfect synchronization
Context
In this study, a small set of 1,3-dipolar cycloaddition reactions that proceed at the same exothermicity is presented. Our main objective was to extend the application of the reaction force constant concept to gain an understanding of the reactivity principles. Inspired by a recent article where we show that the Bell-Evans-Polanyi principle is fulfilled under the condition of an equal degree of (a)synchronicity, here, we demonstrate that the reaction force constant is also a suitable descriptor to quantify the principle of non-perfect synchronization proposed by Bernasconi as a way to understand deviations from the Bell-Evans-Polanyi principle.
Methods
Reaction profiles \(V(\xi )\), \(F(\xi )\), and \(\kappa (\xi )\) were performed at the B3LYP/6-31G(d,p) level of theory. The stabilizing interactions were characterized using the energy decomposition analysis combined with the natural orbitals for chemical valence, EDA-NOCV, method. The present work was done using Gaussian 09 and Multiwfn programs.
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.