Literature DB >> 26485567

Dynamics and Kinetics Study of "In-Water" Chemical Reactions by Enhanced Sampling of Reactive Trajectories.

Jun Zhang1,2, Y Isaac Yang1, Lijiang Yang1,2, Yi Qin Gao1,2.   

Abstract

High potential energy barriers and engagement of solvent coordinates set challenges for in silico studies of chemical reactions, and one is quite commonly limited to study reactions along predefined reaction coordinate(s). A systematic protocol, QM/MM MD simulations using enhanced sampling of reactive trajectories (ESoRT), is established to quantitatively study chemical transitions in complex systems. A number of trajectories for Claisen rearrangement in water and toluene were collected and analyzed, respectively. Evidence was found that the bond making and breaking during this reaction are concerted processes in solutions, preferentially through a chairlike configuration. Water plays an important dynamic role that helps stabilize the transition sate, and the dipole-dipole interaction between water and the solute also lowers the transition barrier. The calculated rate coefficient is consistent with the experimental measurement. Compared with water, the reaction pathway in toluene is "narrower" and the reaction rate is slower by almost three orders of magnitude due to the absence of proper interactions to stabilize the transition state. This study suggests that the "in-water" nature of the Claisen rearrangement in aqueous solution influences its thermodynamics, kinetics, as well as dynamics.

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Year:  2015        PMID: 26485567     DOI: 10.1021/acs.jpcb.5b08690

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  5 in total

1.  Internal force corrections with machine learning for quantum mechanics/molecular mechanics simulations.

Authors:  Jingheng Wu; Lin Shen; Weitao Yang
Journal:  J Chem Phys       Date:  2017-10-28       Impact factor: 3.488

2.  Multiscale Quantum Mechanics/Molecular Mechanics Simulations with Neural Networks.

Authors:  Lin Shen; Jingheng Wu; Weitao Yang
Journal:  J Chem Theory Comput       Date:  2016-09-06       Impact factor: 6.006

3.  ReaxFF/AMBER-A Framework for Hybrid Reactive/Nonreactive Force Field Molecular Dynamics Simulations.

Authors:  Ali Rahnamoun; Mehmet Cagri Kaymak; Madushanka Manathunga; Andreas W Götz; Adri C T van Duin; Kenneth M Merz; Hasan Metin Aktulga
Journal:  J Chem Theory Comput       Date:  2020-11-03       Impact factor: 6.006

Review 4.  Synthetic Organic "Aquachemistry" that Relies on Neither Cosolvents nor Surfactants.

Authors:  Taku Kitanosono; Shu Kobayashi
Journal:  ACS Cent Sci       Date:  2021-04-21       Impact factor: 14.553

5.  Rich Dynamics Underlying Solution Reactions Revealed by Sampling and Data Mining of Reactive Trajectories.

Authors:  Jun Zhang; Zhen Zhang; Yi Isaac Yang; Sirui Liu; Lijiang Yang; Yi Qin Gao
Journal:  ACS Cent Sci       Date:  2017-04-15       Impact factor: 14.553

  5 in total

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