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Modeling Chemical Reactions by QM/MM Calculations: The Case of the Tautomerization in Fireflies Bioluminescent Systems

Overview of attention for article published in Frontiers in Chemistry, April 2018
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Title
Modeling Chemical Reactions by QM/MM Calculations: The Case of the Tautomerization in Fireflies Bioluminescent Systems
Published in
Frontiers in Chemistry, April 2018
DOI 10.3389/fchem.2018.00116
Pubmed ID
Authors

Romain Berraud-Pache, Cristina Garcia-Iriepa, Isabelle Navizet

Abstract

In less than half a century, the hybrid QM/MM method has become one of the most used technique to model molecules embedded in a complex environment. A well-known application of the QM/MM method is for biological systems. Nowadays, one can understand how enzymatic reactions work or compute spectroscopic properties, like the wavelength of emission. Here, we have tackled the issue of modeling chemical reactions inside proteins. We have studied a bioluminescent system, fireflies, and deciphered if a keto-enol tautomerization is possible inside the protein. The two tautomers are candidates to be the emissive molecule of the bioluminescence but no outcome has been reached. One hypothesis is to consider a possible keto-enol tautomerization to treat this issue, as it has been already observed in water. A joint approach combining extensive MD simulations as well as computation of key intermediates like TS using QM/MM calculations is presented in this publication. We also emphasize the procedure and difficulties met during this approach in order to give a guide for this kind of chemical reactions using QM/MM methods.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 38%
Student > Bachelor 5 13%
Researcher 5 13%
Student > Doctoral Student 3 8%
Student > Master 3 8%
Other 4 10%
Unknown 4 10%
Readers by discipline Count As %
Chemistry 24 62%
Chemical Engineering 2 5%
Physics and Astronomy 2 5%
Agricultural and Biological Sciences 1 3%
Social Sciences 1 3%
Other 3 8%
Unknown 6 15%
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 17 April 2018.
All research outputs
#20,481,952
of 23,043,346 outputs
Outputs from Frontiers in Chemistry
#2,936
of 6,018 outputs
Outputs of similar age
#288,169
of 327,033 outputs
Outputs of similar age from Frontiers in Chemistry
#63
of 146 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,018 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.