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Evaluating the Effects of Cutoffs and Treatment of Long-range Electrostatics in Protein Folding Simulations

Overview of attention for article published in PLOS ONE, June 2012
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Title
Evaluating the Effects of Cutoffs and Treatment of Long-range Electrostatics in Protein Folding Simulations
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0039918
Pubmed ID
Authors

Stefano Piana, Kresten Lindorff-Larsen, Robert M. Dirks, John K. Salmon, Ron O. Dror, David E. Shaw

Abstract

The use of molecular dynamics simulations to provide atomic-level descriptions of biological processes tends to be computationally demanding, and a number of approximations are thus commonly employed to improve computational efficiency. In the past, the effect of these approximations on macromolecular structure and stability has been evaluated mostly through quantitative studies of small-molecule systems or qualitative observations of short-timescale simulations of biological macromolecules. Here we present a quantitative evaluation of two commonly employed approximations, using a test system that has been the subject of a number of previous protein folding studies--the villin headpiece. In particular, we examined the effect of (i) the use of a cutoff-based force-shifting technique rather than an Ewald summation for the treatment of electrostatic interactions, and (ii) the length of the cutoff used to determine how many pairwise interactions are included in the calculation of both electrostatic and van der Waals forces. Our results show that the free energy of folding is relatively insensitive to the choice of cutoff beyond 9 Å, and to whether an Ewald method is used to account for long-range electrostatic interactions. In contrast, we find that the structural properties of the unfolded state depend more strongly on the two approximations examined here.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
Canada 3 2%
Portugal 1 <1%
France 1 <1%
Italy 1 <1%
Vietnam 1 <1%
Germany 1 <1%
Sweden 1 <1%
Switzerland 1 <1%
Other 2 1%
Unknown 175 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 30%
Researcher 46 24%
Student > Master 22 11%
Student > Bachelor 14 7%
Student > Doctoral Student 10 5%
Other 18 9%
Unknown 26 13%
Readers by discipline Count As %
Chemistry 50 26%
Agricultural and Biological Sciences 28 14%
Biochemistry, Genetics and Molecular Biology 25 13%
Physics and Astronomy 24 12%
Engineering 13 7%
Other 24 12%
Unknown 31 16%