↓ Skip to main content

Minimum Free Energy Path of Ligand-Induced Transition in Adenylate Kinase

Overview of attention for article published in PLoS Computational Biology, June 2012
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
111 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Minimum Free Energy Path of Ligand-Induced Transition in Adenylate Kinase
Published in
PLoS Computational Biology, June 2012
DOI 10.1371/journal.pcbi.1002555
Pubmed ID
Authors

Yasuhiro Matsunaga, Hiroshi Fujisaki, Tohru Terada, Tadaomi Furuta, Kei Moritsugu, Akinori Kidera

Abstract

Large-scale conformational changes in proteins involve barrier-crossing transitions on the complex free energy surfaces of high-dimensional space. Such rare events cannot be efficiently captured by conventional molecular dynamics simulations. Here we show that, by combining the on-the-fly string method and the multi-state Bennett acceptance ratio (MBAR) method, the free energy profile of a conformational transition pathway in Escherichia coli adenylate kinase can be characterized in a high-dimensional space. The minimum free energy paths of the conformational transitions in adenylate kinase were explored by the on-the-fly string method in 20-dimensional space spanned by the 20 largest-amplitude principal modes, and the free energy and various kinds of average physical quantities along the pathways were successfully evaluated by the MBAR method. The influence of ligand binding on the pathways was characterized in terms of rigid-body motions of the lid-shaped ATP-binding domain (LID) and the AMP-binding (AMPbd) domains. It was found that the LID domain was able to partially close without the ligand, while the closure of the AMPbd domain required the ligand binding. The transition state ensemble of the ligand bound form was identified as those structures characterized by highly specific binding of the ligand to the AMPbd domain, and was validated by unrestrained MD simulations. It was also found that complete closure of the LID domain required the dehydration of solvents around the P-loop. These findings suggest that the interplay of the two different types of domain motion is an essential feature in the conformational transition of the enzyme.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Germany 2 2%
Italy 1 <1%
Turkey 1 <1%
Japan 1 <1%
Argentina 1 <1%
Unknown 100 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 27%
Researcher 28 25%
Professor > Associate Professor 11 10%
Student > Master 11 10%
Student > Bachelor 8 7%
Other 13 12%
Unknown 10 9%
Readers by discipline Count As %
Chemistry 27 24%
Agricultural and Biological Sciences 21 19%
Physics and Astronomy 18 16%
Biochemistry, Genetics and Molecular Biology 8 7%
Chemical Engineering 4 4%
Other 17 15%
Unknown 16 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 10 May 2013.
All research outputs
#20,105,174
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#7,997
of 9,003 outputs
Outputs of similar age
#137,146
of 181,020 outputs
Outputs of similar age from PLoS Computational Biology
#95
of 107 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 181,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.