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44 Mendeley
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Article details
Title
Parametrization of Backbone Flexibility in a Coarse-Grained Force Field for Proteins (COFFDROP) Derived from All-Atom Explicit-Solvent Molecular Dynamics Simulations of All Possible Two-Residue Peptides
Published in
Journal of Chemical Theory and Computation, April 2015
DOI 10.1021/acs.jctc.5b00038
Pubmed ID
Authors

Tamara Frembgen-Kesner, Casey T. Andrews, Shuxiang Li, Nguyet Anh Ngo, Scott A. Shubert, Aakash Jain, Oluwatoni J. Olayiwola, Mitch R. Weishaar, Adrian H. Elcock

Abstract

Recently, we reported the parametrization of a set of coarse-grained (CG) nonbonded potential functions, derived from all-atom explicit-solvent molecular dynamics (MD) simulations of amino acid pairs and designed for use in (implicit-solvent) Brownian dynamics (BD) simulations of proteins; this force field was named COFFDROP (COarse-grained Force Field for Dynamic Representations Of Proteins). Here, we describe the extension of COFFDROP to include bonded backbone terms derived from fitting to results of explicit-solvent MD simulations of all possible two-residue peptides containing the 20 standard amino acids, with histidine modeled in both its protonated and neutral forms. The iterative Boltzmann inversion (IBI) method was used to optimize new CG potential functions for backbone-related terms by attempting to reproduce angle, dihedral, and distance probability distributions generated by the MD simulations. In a simple test of the transferability of the extended force field, the angle, dihedral, and distance probability distributions obtained from BD simulations of 56 three-residue peptides were compared to results from corresponding explicit-solvent MD simulations. In a more challenging test of the COFFDROP force field, it was used to simulate eight intrinsically disordered proteins and was shown to quite accurately reproduce the experimental hydrodynamic radii (Rhydro), provided that the favorable nonbonded interactions of the force field were uniformly scaled downward in magnitude. Overall, the results indicate that the COFFDROP force field is likely to find use in modeling the conformational behavior of intrinsically disordered proteins and multidomain proteins connected by flexible linkers.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 44 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 2 5%
Iran, Islamic Republic of 1 2%
Unknown 41 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 17 39%
Student > Ph. D. Student 11 25%
Professor 3 7%
Professor > Associate Professor 3 7%
Student > Bachelor 2 5%
Other 3 7%
Unknown 5 11%
Readers by discipline
Readers by discipline Count As %
Chemistry 15 34%
Biochemistry, Genetics and Molecular Biology 5 11%
Physics and Astronomy 5 11%
Agricultural and Biological Sciences 4 9%
Chemical Engineering 3 7%
Other 4 9%
Unknown 8 18%
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 30 April 2015.
All research outputs
#14,808,845
of 22,800,560 outputs
Outputs from Journal of Chemical Theory and Computation
#3,857
of 6,726 outputs
Outputs of similar age
#147,755
of 263,976 outputs
Outputs of similar age from Journal of Chemical Theory and Computation
#63
of 137 outputs
Altmetric has tracked 22,800,560 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,726 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 37th percentile – i.e., 37% 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 263,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.