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Molecular Dynamics Simulations of Highly Crowded Amino Acid Solutions: Comparisons of Eight Different Force Field Combinations with Experiment and with Each Other

Overview of attention for article published in Journal of Chemical Theory and Computation, September 2013
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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Article details
Title
Molecular Dynamics Simulations of Highly Crowded Amino Acid Solutions: Comparisons of Eight Different Force Field Combinations with Experiment and with Each Other
Published in
Journal of Chemical Theory and Computation, September 2013
DOI 10.1021/ct400371h
Pubmed ID
Authors
Abstract

Although it is now commonly accepted that the highly crowded conditions encountered inside biological cells have the potential to significantly alter the thermodynamic properties of biomolecules, it is not known to what extent the thermodynamics of fundamental types of interactions such as salt bridges and hydrophobic interactions are strengthened or weakened by high biomolecular concentrations. As one way of addressing this question we have performed a series of all-atom explicit solvent molecular dynamics (MD) simulations to investigate the effect of increasing solute concentration on the behavior of four types of zwitterionic amino acids in aqueous solution. We have simulated systems containing glycine, valine, phenylalanine or asparagine at concentrations of 50, 100, 200 and 300 mg/ml. Each molecular system has been simulated for 1 μs in order to obtain statistically converged estimates of thermodynamic parameters, and each has been conducted with 8 different force fields and water models; the combined simulation time is 128 μs. The density, viscosity, and dielectric increments of the four amino acids calculated from the simulations have been compared to corresponding experimental measurements. While all of the force fields perform well at reproducing the density increments, discrepancies for the viscosity and dielectric increments raise questions both about the accuracy of the simulation force fields and, in certain cases, the experimental data. We also observe large differences between the various force fields' descriptions of the interaction thermodynamics of salt bridges and, surprisingly, these differences also lead to qualitatively different predictions of their dependences on solute concentration. For the aliphatic interactions of valine sidechains, fewer differences are observed between the force fields, but significant differences are again observed for aromatic interactions of phenylalanine sidechains. Taken together, the results highlight the potential power of using explicit-solvent simulation methods to understand behavior in concentrated systems but also hint at potential difficulties in using these methods to obtain consistent views of behavior in intracellular environments.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 63 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 3 5%
Norway 1 2%
India 1 2%
Spain 1 2%
Czechia 1 2%
Canada 1 2%
Unknown 55 87%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 18 29%
Student > Ph. D. Student 14 22%
Student > Master 5 8%
Professor > Associate Professor 5 8%
Student > Doctoral Student 4 6%
Other 7 11%
Unknown 10 16%
Readers by discipline
Readers by discipline Count As %
Chemistry 18 29%
Biochemistry, Genetics and Molecular Biology 8 13%
Physics and Astronomy 8 13%
Agricultural and Biological Sciences 6 10%
Materials Science 5 8%
Other 9 14%
Unknown 9 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 11 September 2013.
All research outputs
#18,345,822
of 22,719,618 outputs
Outputs from Journal of Chemical Theory and Computation
#5,168
of 6,709 outputs
Outputs of similar age
#146,523
of 196,918 outputs
Outputs of similar age from Journal of Chemical Theory and Computation
#40
of 131 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,709 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 10th percentile – i.e., 10% 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 196,918 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 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 59% of its contemporaries.