↓ Skip to main content

Revised AMBER Parameters for Bioorganic Phosphates

Overview of attention for article published in Journal of Chemical Theory and Computation, October 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Readers on

mendeley
223 Mendeley
citeulike
1 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.
Article details
Title
Revised AMBER Parameters for Bioorganic Phosphates
Published in
Journal of Chemical Theory and Computation, October 2012
DOI 10.1021/ct300613v
Pubmed ID
Authors
Abstract

We report AMBER force field parameters for biological simulations involving phosphorylation of serine, threonine or tyrosine. The initial parameters used RESP fitting for the atomic partial charges and standard values for all other parameters such as Lennard-Jones coefficients. These were refined with the aid of a thermodynamic cycle consisting of experimentally determined pKa values, solvation energies from molecular dynamics free energy simulations, and gas phase basicities from QM calculations. A polarization energy term was included to account for the charge density change between the gas-phase and solution, and solvation free energies were determined using thermodynamic integration. Parameter adjustment is required to obtain consistent thermodynamic results with better balanced electrostatic interactions between water and the phosphate oxygens. To achieve this we modified the phosphate oxygen radii. A thermodynamically consistent parameter set can be derived for monoanions and requires an increase of the van der Waals phosphate oxygen radii of approximately 0.09 Å. Larger, residue-specific radii appear to be needed for dianions. The revised parameters developed here should be of particular interest for environments where simulations of multiple protonation states may be of interest.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 5 2%
Japan 2 <1%
Portugal 1 <1%
Pakistan 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Czechia 1 <1%
Argentina 1 <1%
Other 0 0%
Unknown 209 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 68 30%
Researcher 47 21%
Student > Master 12 5%
Student > Doctoral Student 11 5%
Professor > Associate Professor 10 4%
Other 35 16%
Unknown 40 18%
Readers by discipline
Readers by discipline Count As %
Chemistry 79 35%
Biochemistry, Genetics and Molecular Biology 39 17%
Agricultural and Biological Sciences 17 8%
Physics and Astronomy 8 4%
Computer Science 6 3%
Other 29 13%
Unknown 45 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 19 August 2020.
All research outputs
#5,471,235
of 28,738,224 outputs
Outputs from Journal of Chemical Theory and Computation
#1,503
of 8,053 outputs
Outputs of similar age
#38,020
of 199,821 outputs
Outputs of similar age from Journal of Chemical Theory and Computation
#23
of 165 outputs
Altmetric has tracked 28,738,224 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,053 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 80% 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 199,821 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 80% of its contemporaries.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.