Literature DB >> 33026106

The effect of different cutoff schemes in molecular simulations of proteins.

Matthias Diem1, Chris Oostenbrink1.   

Abstract

Molecular simulations of nanoscale systems invariably involve assumptions and approximations to describe the electrostatic interactions, which are long-ranged in nature. One approach is the use of cutoff schemes with a reaction-field contribution to account for the medium outside the cutoff scheme. Recent reports show that macroscopic properties may depend on the exact choice of cutoff schemes in modern day simulations. In this work, a systematic analysis of the effects of different cutoff schemes was performed using a set of 52 proteins. We find no statistically significant differences between using a twin-range or a single-range cutoff scheme. Applying the cutoff based on charge groups or based on atomic positions, does lead to significant differences, which is traced to the cutoff noise for energies and forces. While group-based cutoff schemes show increased cutoff noise in the potential energy, applying an atomistic cutoff leads to artificial structure in the solvent at the cutoff distance. Carefully setting the temperature control, or using an atomistic cutoff for the solute and a group-based cutoff for the solvent significantly reduces the effects of the cutoff noise, without introducing structure in the solvent. This study aims to deepen the understanding of the implications different cutoffs have on molecular dynamics simulations.
© 2020 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC.

Entities:  

Keywords:  atomistic; charge-group; cutoff scheme; molecular dynamics; proteins

Mesh:

Substances:

Year:  2020        PMID: 33026106      PMCID: PMC7756334          DOI: 10.1002/jcc.26426

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  17 in total

1.  A normalized root-mean-square distance for comparing protein three-dimensional structures.

Authors:  O Carugo; S Pongor
Journal:  Protein Sci       Date:  2001-07       Impact factor: 6.725

2.  New Interaction Parameters for Charged Amino Acid Side Chains in the GROMOS Force Field.

Authors:  Maria M Reif; Philippe H Hünenberger; Chris Oostenbrink
Journal:  J Chem Theory Comput       Date:  2012-05-24       Impact factor: 6.006

3.  Computation of methodology-independent ionic solvation free energies from molecular simulations. I. The electrostatic potential in molecular liquids.

Authors:  M A Kastenholz; Philippe H Hünenberger
Journal:  J Chem Phys       Date:  2006-03-28       Impact factor: 3.488

4.  Picosecond to Millisecond Structural Dynamics in Human Ubiquitin.

Authors:  Kresten Lindorff-Larsen; Paul Maragakis; Stefano Piana; David E Shaw
Journal:  J Phys Chem B       Date:  2016-05-09       Impact factor: 2.991

Review 5.  Fixed-Charge Atomistic Force Fields for Molecular Dynamics Simulations in the Condensed Phase: An Overview.

Authors:  Sereina Riniker
Journal:  J Chem Inf Model       Date:  2018-03-13       Impact factor: 4.956

6.  Hamiltonian Reweighing To Refine Protein Backbone Dihedral Angle Parameters in the GROMOS Force Field.

Authors:  Matthias Diem; Chris Oostenbrink
Journal:  J Chem Inf Model       Date:  2020-01-09       Impact factor: 4.956

7.  Pseudo-structures for the 20 common amino acids for use in studies of protein conformations by measurements of intramolecular proton-proton distance constraints with nuclear magnetic resonance.

Authors:  K Wüthrich; M Billeter; W Braun
Journal:  J Mol Biol       Date:  1983-10-05       Impact factor: 5.469

8.  Testing of the GROMOS Force-Field Parameter Set 54A8: Structural Properties of Electrolyte Solutions, Lipid Bilayers, and Proteins.

Authors:  Maria M Reif; Moritz Winger; Chris Oostenbrink
Journal:  J Chem Theory Comput       Date:  2013-01-02       Impact factor: 6.006

9.  Toward the correction of effective electrostatic forces in explicit-solvent molecular dynamics simulations: restraints on solvent-generated electrostatic potential and solvent polarization.

Authors:  Maria M Reif; Chris Oostenbrink
Journal:  Theor Chem Acc       Date:  2015-01-10       Impact factor: 1.702

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  2 in total

1.  Efficient In Silico Saturation Mutagenesis of a Member of the Caspase Protease Family.

Authors:  Christoph Öhlknecht; Sonja Katz; Christina Kröß; Bernhard Sprenger; Petra Engele; Rainer Schneider; Chris Oostenbrink
Journal:  J Chem Inf Model       Date:  2021-02-11       Impact factor: 4.956

2.  The effect of different cutoff schemes in molecular simulations of proteins.

Authors:  Matthias Diem; Chris Oostenbrink
Journal:  J Comput Chem       Date:  2020-10-07       Impact factor: 3.376

  2 in total

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