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QM/MM MD and Free Energy Simulation Study of Methyl Transfer Processes Catalyzed by PKMTs and PRMTs

Overview of attention for article published in Interdisciplinary Sciences: Computational Life Sciences, August 2015
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Title
QM/MM MD and Free Energy Simulation Study of Methyl Transfer Processes Catalyzed by PKMTs and PRMTs
Published in
Interdisciplinary Sciences: Computational Life Sciences, August 2015
DOI 10.1007/s12539-015-0280-y
Pubmed ID
Authors

Yuzhuo Chu, Hong Guo

Abstract

Methyl transfer processes catalyzed by protein lysine methyltransferases (PKMTs) and protein arginine methyltransferases (PRMTs) control important biological events including transcriptional regulation and cell signaling. One important property of these enzymes is that different PKMTs and PRMTs catalyze the formation of different methylated product (product specificity). These different methylation states lead to different biological outcomes. Here, we review the results of quantum mechanics/molecular mechanics molecular dynamics and free energy simulations that have been performed to study the reaction mechanism of PKMTs and PRMTs and the mechanism underlying the product specificity of the methyl transfer processes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Researcher 2 29%
Student > Bachelor 1 14%
Professor > Associate Professor 1 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 29%
Biochemistry, Genetics and Molecular Biology 1 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Nursing and Health Professions 1 14%
Chemistry 1 14%
Other 0 0%
Unknown 1 14%
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 13 August 2015.
All research outputs
#20,286,650
of 22,821,814 outputs
Outputs from Interdisciplinary Sciences: Computational Life Sciences
#205
of 294 outputs
Outputs of similar age
#221,486
of 264,389 outputs
Outputs of similar age from Interdisciplinary Sciences: Computational Life Sciences
#18
of 26 outputs
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So far Altmetric has tracked 294 research outputs from this source. They receive a mean Attention Score of 2.9. 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 26 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.