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Comparative studies for evaluation of CO2 fixation in the cavity of the Rubisco enzyme using QM, QM/MM and linear-scaling DFT methods

Overview of attention for article published in Journal of Molecular Modeling, February 2013
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Title
Comparative studies for evaluation of CO2 fixation in the cavity of the Rubisco enzyme using QM, QM/MM and linear-scaling DFT methods
Published in
Journal of Molecular Modeling, February 2013
DOI 10.1007/s00894-013-1773-4
Pubmed ID
Authors

Morad M. El-Hendawy, Niall J. English, Damian A. Mooney

Abstract

We evaluate the minimum energy configuration (MM) and binding free energy (QM/MM and QM) of CO2 to Rubisco, of fundamental importance to the carboxylation step of the reaction. Two structural motifs have been used to achieve this goal, one of which starts from the initial X-ray Protein Data Bank structure of Rubisco's active centre (671 atoms), and the other is a simplified, smaller model (77 atoms) which has been used most successfully, thus far, for study. The small model is subjected to quantum chemical density functional theory (DFT) studies, both in vacuo and using implicit solvation. The effects of the protein environment are also included by means of a hybrid quantum mechanical/molecular mechanical (QM/MM) approach, using PM6/AMBER and B3LYP/AMBER schemes. Finally, linear-scaling DFT methods have also been applied to evaluate energetic features of the large motif, and the result obtained for the binding free energy of the CO2 underlines the importance of the accurate modelling of the surrounding protein milieu using a full DFT description.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 4%
Japan 1 4%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 24%
Student > Ph. D. Student 6 24%
Professor 3 12%
Other 2 8%
Professor > Associate Professor 2 8%
Other 4 16%
Unknown 2 8%
Readers by discipline Count As %
Chemistry 10 40%
Agricultural and Biological Sciences 5 20%
Physics and Astronomy 2 8%
Engineering 2 8%
Materials Science 2 8%
Other 2 8%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 October 2013.
All research outputs
#18,348,542
of 22,723,682 outputs
Outputs from Journal of Molecular Modeling
#518
of 811 outputs
Outputs of similar age
#220,238
of 284,151 outputs
Outputs of similar age from Journal of Molecular Modeling
#5
of 8 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 811 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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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 3 of them.