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Understanding Rate Accelerations for Diels−Alder Reactions in Solution Using Enhanced QM/MM Methodology

Overview of attention for article published in Journal of Chemical Theory and Computation, June 2007
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Article details
Title
Understanding Rate Accelerations for Diels−Alder Reactions in Solution Using Enhanced QM/MM Methodology
Published in
Journal of Chemical Theory and Computation, June 2007
DOI 10.1021/ct700078b
Pubmed ID
Authors
Abstract

The Diels-Alder reactions of cyclopentadiene with 1,4-naphthoquinone, methyl vinyl ketone, and acrylonitrile have been investigated using QM/MM calculations in water, methanol, acetonitrile, and hexane. This extends an earlier AM1-based QM/MM study (J. Phys. Chem. B 2002, 106, 8078) that only investigated the reactions in water and utilized gas-phase optimized structures as starting points for computations of one-dimensional potentials of mean force (PMFs). Presently, the stationary points were located automatically in multiple solvents by computing two-dimensional PMFs, and the QM method is now PDDG/PM3. The resultant geometries are improved, and relative free energies of activation are well reproduced, e.g., ΔG(‡) for the reaction with naphthoquinone is computed to increase upon transfer from water to methanol, acetonitrile, and hexane by 3.2, 4.1, and 5.1 kcal/mol, while the experimental values are 3.4, 4.0, and 5.0 kcal/mol. Ab initio MP2/6-311+G(2d,p) calculations using the CPCM continuum solvent model on gas-phase CBS-QB3 geometries were also found to yield accurate ΔG(‡) values in water. However, only the QM/MM methodology reproduced the large rate increases in proceeding from aprotic solvents to water. The dominant factors for the rate variations are enhanced hydrogen bonding for the polarized transition states and reduction in hydrophobic surface area.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 6%
Japan 1 2%
Germany 1 2%
Unknown 42 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Researcher 10 21%
Student > Bachelor 5 11%
Professor > Associate Professor 5 11%
Student > Master 3 6%
Other 6 13%
Unknown 7 15%
Readers by discipline
Readers by discipline Count As %
Chemistry 31 66%
Biochemistry, Genetics and Molecular Biology 2 4%
Engineering 2 4%
Chemical Engineering 1 2%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 February 2016.
All research outputs
#3,864,895
of 28,833,811 outputs
Outputs from Journal of Chemical Theory and Computation
#760
of 8,065 outputs
Outputs of similar age
#10,593
of 93,147 outputs
Outputs of similar age from Journal of Chemical Theory and Computation
#2
of 8 outputs
Altmetric has tracked 28,833,811 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,065 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 93,147 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.