Literature DB >> 26583973

Effects of Temperature Control Algorithms on Transport Properties and Kinetics in Molecular Dynamics Simulations.

Joseph E Basconi1, Michael R Shirts1.   

Abstract

Temperature control algorithms in molecular dynamics (MD) simulations are necessary to study isothermal systems. However, these thermostatting algorithms alter the velocities of the particles and thus modify the dynamics of the system with respect to the microcanonical ensemble, which could potentially lead to thermostat-dependent dynamical artifacts. In this study, we investigate how six well-established thermostat algorithms applied with different coupling strengths and to different degrees of freedom affect the dynamics of various molecular systems. We consider dynamic processes occurring on different times scales by measuring translational and rotational self-diffusion as well as the shear viscosity of water, diffusion of a small molecule solvated in water, and diffusion and the dynamic structure factor of a polymer chain in water. All of these properties are significantly dampened by thermostat algorithms which randomize particle velocities, such as the Andersen thermostat and Langevin dynamics, when strong coupling is used. For the solvated small molecule and polymer, these dampening effects are reduced somewhat if the thermostats are applied to the solvent alone, such that the solute's temperature is maintained only through thermal contact with solvent particles. Algorithms which operate by scaling the velocities, such as the Berendsen thermostat, the stochastic velocity rescaling approach of Bussi and co-workers, and the Nosé-Hoover thermostat, yield transport properties that are statistically indistinguishable from those of the microcanonical ensemble, provided they are applied globally, i.e. coupled to the system's kinetic energy. When coupled to local kinetic energies, a velocity scaling thermostat can have dampening effects comparable to a velocity randomizing method, as we observe when a massive Nose-Hoover coupling scheme is used to simulate water. Correct dynamical properties, at least those studied in this paper, are obtained with the Berendsen thermostat applied globally, despite the fact that it yields the wrong kinetic energy distribution.

Entities:  

Year:  2013        PMID: 26583973     DOI: 10.1021/ct400109a

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  47 in total

1.  A Stochastic Algorithm for the Isobaric-Isothermal Ensemble with Ewald Summations for All Long Range Forces.

Authors:  Michele Di Pierro; Ron Elber; Benedict Leimkuhler
Journal:  J Chem Theory Comput       Date:  2015-11-25       Impact factor: 6.006

2.  A simple molecular mechanics integrator in mixed rigid body and dihedral angle space.

Authors:  Andreas Vitalis; Rohit V Pappu
Journal:  J Chem Phys       Date:  2014-07-21       Impact factor: 3.488

3.  Understanding how water models affect the anomalous pressure dependence of their diffusion coefficients.

Authors:  Xiaojing Teng; Bailang Liu; Toshiko Ichiye
Journal:  J Chem Phys       Date:  2020-09-14       Impact factor: 3.488

4.  A protocol for preparing explicitly solvated systems for stable molecular dynamics simulations.

Authors:  Daniel R Roe; Bernard R Brooks
Journal:  J Chem Phys       Date:  2020-08-07       Impact factor: 3.488

5.  WESTPA: an interoperable, highly scalable software package for weighted ensemble simulation and analysis.

Authors:  Matthew C Zwier; Joshua L Adelman; Joseph W Kaus; Adam J Pratt; Kim F Wong; Nicholas B Rego; Ernesto Suárez; Steven Lettieri; David W Wang; Michael Grabe; Daniel M Zuckerman; Lillian T Chong
Journal:  J Chem Theory Comput       Date:  2015-02-10       Impact factor: 6.006

6.  Structure-guided simulations illuminate the mechanism of ATP transport through VDAC1.

Authors:  Om P Choudhary; Aviv Paz; Joshua L Adelman; Jacques-Philippe Colletier; Jeff Abramson; Michael Grabe
Journal:  Nat Struct Mol Biol       Date:  2014-06-08       Impact factor: 15.369

7.  Conformational and Dynamical Effects of Tyr32 Phosphorylation in K-Ras: Molecular Dynamics Simulation and Markov State Models Analysis.

Authors:  Mohammed Khaled; Alemayehu Gorfe; Abdallah Sayyed-Ahmad
Journal:  J Phys Chem B       Date:  2019-08-30       Impact factor: 2.991

8.  Entropy connects water structure and dynamics in protein hydration layer.

Authors:  Jayangika N Dahanayake; Katie R Mitchell-Koch
Journal:  Phys Chem Chem Phys       Date:  2018-05-30       Impact factor: 3.676

9.  Comparison of structural, thermodynamic, kinetic and mass transport properties of Mg(2+) ion models commonly used in biomolecular simulations.

Authors:  Maria T Panteva; George M Giambaşu; Darrin M York
Journal:  J Comput Chem       Date:  2015-03-04       Impact factor: 3.376

10.  Best Practices for Foundations in Molecular Simulations [Article v1.0].

Authors:  Efrem Braun; Justin Gilmer; Heather B Mayes; David L Mobley; Jacob I Monroe; Samarjeet Prasad; Daniel M Zuckerman
Journal:  Living J Comput Mol Sci       Date:  2018-11-29
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