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Accurate small and wide angle x-ray scattering profiles from atomic models of proteins and nucleic acids

Overview of attention for article published in Journal of Chemical Physics, September 2014
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Article details
Title
Accurate small and wide angle x-ray scattering profiles from atomic models of proteins and nucleic acids
Published in
Journal of Chemical Physics, September 2014
DOI 10.1063/1.4896220
Pubmed ID
Authors
Abstract

A new method is introduced to compute X-ray solution scattering profiles from atomic models of macromolecules. The three-dimensional version of the Reference Interaction Site Model (RISM) from liquid-state statistical mechanics is employed to compute the solvent distribution around the solute, including both water and ions. X-ray scattering profiles are computed from this distribution together with the solute geometry. We describe an efficient procedure for performing this calculation employing a Lebedev grid for the angular averaging. The intensity profiles (which involve no adjustable parameters) match experiment and molecular dynamics simulations up to wide angle for two proteins (lysozyme and myoglobin) in water, as well as the small-angle profiles for a dozen biomolecules taken from the BioIsis.net database. The RISM model is especially well-suited for studies of nucleic acids in salt solution. Use of fiber-diffraction models for the structure of duplex DNA in solution yields close agreement with the observed scattering profiles in both the small and wide angle scattering (SAXS and WAXS) regimes. In addition, computed profiles of anomalous SAXS signals (for Rb(+) and Sr(2+)) emphasize the ionic contribution to scattering and are in reasonable agreement with experiment. In cases where an absolute calibration of the experimental data at q = 0 is available, one can extract a count of the excess number of waters and ions; computed values depend on the closure that is assumed in the solution of the Ornstein-Zernike equations, with results from the Kovalenko-Hirata closure being closest to experiment for the cases studied here.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
Korea, Republic of 1 1%
Italy 1 1%
India 1 1%
Germany 1 1%
Unknown 67 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 24 33%
Student > Ph. D. Student 15 21%
Student > Master 9 13%
Professor 7 10%
Student > Bachelor 6 8%
Other 6 8%
Unknown 5 7%
Readers by discipline
Readers by discipline Count As %
Chemistry 18 25%
Physics and Astronomy 15 21%
Agricultural and Biological Sciences 13 18%
Biochemistry, Genetics and Molecular Biology 7 10%
Materials Science 4 6%
Other 6 8%
Unknown 9 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 January 2015.
All research outputs
#24,411,955
of 34,763,505 outputs
Outputs from Journal of Chemical Physics
#13,697
of 24,438 outputs
Outputs of similar age
#195,861
of 297,647 outputs
Outputs of similar age from Journal of Chemical Physics
#109
of 329 outputs
Altmetric has tracked 34,763,505 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,438 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 41st percentile – i.e., 41% 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 297,647 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 329 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.