Literature DB >> 20232791

Computational analysis of the mechanism of chemical reactions in terms of reaction phases: hidden intermediates and hidden transition States.

Elfi Kraka1, Dieter Cremer.   

Abstract

Computational approaches to understanding chemical reaction mechanisms generally begin by establishing the relative energies of the starting materials, transition state, and products, that is, the stationary points on the potential energy surface of the reaction complex. Examining the intervening species via the intrinsic reaction coordinate (IRC) offers further insight into the fate of the reactants by delineating, step-by-step, the energetics involved along the reaction path between the stationary states. For a detailed analysis of the mechanism and dynamics of a chemical reaction, the reaction path Hamiltonian (RPH) and the united reaction valley approach (URVA) are an efficient combination. The chemical conversion of the reaction complex is reflected by the changes in the reaction path direction t(s) and reaction path curvature k(s), both expressed as a function of the path length s. This information can be used to partition the reaction path, and by this the reaction mechanism, of a chemical reaction into reaction phases describing chemically relevant changes of the reaction complex: (i) a contact phase characterized by van der Waals interactions, (ii) a preparation phase, in which the reactants prepare for the chemical processes, (iii) one or more transition state phases, in which the chemical processes of bond cleavage and bond formation take place, (iv) a product adjustment phase, and (v) a separation phase. In this Account, we examine mechanistic analysis with URVA in detail, focusing on recent theoretical insights (with a variety of reaction types) from our laboratories. Through the utilization of the concept of localized adiabatic vibrational modes that are associated with the internal coordinates, q(n)(s), of the reaction complex, the chemical character of each reaction phase can be identified via the adiabatic curvature coupling coefficients, A(n,s)(s). These quantities reveal whether a local adiabatic vibrational mode supports (A(n,s) > 0) or resists (A(n,s) < 0) the curving of the path, and thus the structural changes of the reaction complex. URVA can show the mechanism of a reaction expressed in terms of reaction phases, revealing the sequence of chemical processes in the reaction complex and making it possible to determine those electronic factors that control the mechanism and energetics of the reaction. The magnitude of adiabatic curvature coupling coefficients is related to strength and polarizability of the bonds being broken. Transient points along the reaction path are associated with hidden intermediates and hidden transition states, which can be converted into real intermediates and transition states when the reaction conditions or the substitution pattern of the reaction complex are appropriately changed. Accordingly, URVA represents a theoretical tool with tremendous experimental potential, offering the chemist the ability to assert greater control over reactions.

Year:  2010        PMID: 20232791     DOI: 10.1021/ar900013p

Source DB:  PubMed          Journal:  Acc Chem Res        ISSN: 0001-4842            Impact factor:   22.384


  11 in total

1.  Biomimetic Platinum-Promoted Polyene Polycyclizations: Influence of Alkene Substitution and Pre-cyclization Conformations.

Authors:  Christina H McCulley; Michael J Geier; Brandi M Hudson; Michel R Gagné; Dean J Tantillo
Journal:  J Am Chem Soc       Date:  2017-08-03       Impact factor: 15.419

2.  Learning to predict chemical reactions.

Authors:  Matthew A Kayala; Chloé-Agathe Azencott; Jonathan H Chen; Pierre Baldi
Journal:  J Chem Inf Model       Date:  2011-09-02       Impact factor: 4.956

3.  Perspectives on the reaction force constant.

Authors:  Peter Politzer; Jane S Murray; Pablo Jaque
Journal:  J Mol Model       Date:  2013-01-05       Impact factor: 1.810

4.  Entropic intermediates and hidden rate-limiting steps in seemingly concerted cycloadditions. Observation, prediction, and origin of an isotope effect on recrossing.

Authors:  Ollie M Gonzalez-James; Eugene E Kwan; Daniel A Singleton
Journal:  J Am Chem Soc       Date:  2012-01-18       Impact factor: 15.419

Review 5.  Reaction Space Projector (ReSPer) for Visualizing Dynamic Reaction Routes Based on Reduced-Dimension Space.

Authors:  Takuro Tsutsumi; Yuriko Ono; Tetsuya Taketsugu
Journal:  Top Curr Chem (Cham)       Date:  2022-03-10

6.  Unconventional Reactivity of Ethynylbenziodoxolone Reagents and Thiols: Scope and Mechanism.

Authors:  Bin Liu; Juan V Alegre-Requena; Robert S Paton; Garret M Miyake
Journal:  Chemistry       Date:  2020-01-22       Impact factor: 5.236

7.  Theoretical basis for the stabilization of charges by radicals on electrified polymers.

Authors:  Tomasz Mazur; Bartosz A Grzybowski
Journal:  Chem Sci       Date:  2016-11-23       Impact factor: 9.825

8.  Transition-metal-free decarboxylative bromination of aromatic carboxylic acids.

Authors:  Jacob M Quibell; Gregory J P Perry; Diego M Cannas; Igor Larrosa
Journal:  Chem Sci       Date:  2018-03-26       Impact factor: 9.825

9.  Epoxidation of Alkenes by Peracids: From Textbook Mechanisms to a Quantum Mechanically Derived Curly-Arrow Depiction.

Authors:  Johannes E M N Klein; Gerald Knizia; Henry S Rzepa
Journal:  ChemistryOpen       Date:  2019-07-12       Impact factor: 2.911

Review 10.  Dynamic behavior of rearranging carbocations - implications for terpene biosynthesis.

Authors:  Stephanie R Hare; Dean J Tantillo
Journal:  Beilstein J Org Chem       Date:  2016-02-29       Impact factor: 2.883

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.