Literature DB >> 34464112

Removing Thermostat Distortions of Protein Dynamics in Constant-Temperature Molecular Dynamics Simulations.

Alan Hicks, Matthew MacAinsh, Huan-Xiang Zhou.   

Abstract

Molecular dynamics simulations are widely used to determine equilibrium and dynamic properties of proteins. Nearly all simulations, currently, are carried out at constant temperature, with a Langevin thermostat among the most widely used. Thermostats distort protein dynamics, but whether or how such distortions can be corrected has long been an open question. Here, we show that constant-temperature simulations with a Langevin thermostat dilate protein dynamics and present a correction scheme to remove the dynamic distortions. Specifically, ns-scale time constants for overall rotation are dilated significantly but sub-ns time constants for internal motions are dilated modestly, while all motional amplitudes are unaffected. The correction scheme involves contraction of the time constants, with the contraction factor a linear function of the time constant to be corrected. The corrected dynamics of eight proteins are validated by NMR data for rotational diffusion and for backbone amide and side-chain methyl relaxation. The present work demonstrates that even for complex systems like proteins with dynamics spanning multiple timescales, one can predict how thermostats distort protein dynamics and remove such distortions. The correction scheme will have wide applications, facilitating force-field parameterization and propelling simulations to be on par with NMR and other experimental techniques in determining dynamic properties of proteins.

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Year:  2021        PMID: 34464112      PMCID: PMC8440497          DOI: 10.1021/acs.jctc.1c00448

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.578


  35 in total

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Journal:  Biochim Biophys Acta       Date:  2016-02-07

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6.  Accurate Prediction of Protein NMR Spin Relaxation by Means of Polarizable Force Fields. Application to Strongly Anisotropic Rotational Diffusion.

Authors:  Moreno Marcellini; Minh-Ha Nguyen; Marie Martin; Maggy Hologne; Olivier Walker
Journal:  J Phys Chem B       Date:  2020-06-16       Impact factor: 2.991

7.  Coupling of conformational switches in calcium sensor unraveled with local Markov models and transfer entropy.

Authors:  Tim Hempel; Nuria Plattner; Frank Noé
Journal:  J Chem Theory Comput       Date:  2020-03-20       Impact factor: 6.006

8.  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

9.  Thermostat artifacts in replica exchange molecular dynamics simulations.

Authors:  Edina Rosta; Nicolae-Viorel Buchete; Gerhard Hummer
Journal:  J Chem Theory Comput       Date:  2009       Impact factor: 6.006

10.  Water model tuning for improved reproduction of rotational diffusion and NMR spectral density.

Authors:  Kazuhiro Takemura; Akio Kitao
Journal:  J Phys Chem B       Date:  2012-05-24       Impact factor: 2.991

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  2 in total

1.  Calculating Binodals and Interfacial Tension of Phase-Separated Condensates from Molecular Simulations with Finite-Size Corrections.

Authors:  Konstantinos Mazarakos; Sanbo Qin; Huan-Xiang Zhou
Journal:  Methods Mol Biol       Date:  2023

2.  Sequence-Dependent Backbone Dynamics of Intrinsically Disordered Proteins.

Authors:  Souvik Dey; Matthew MacAinsh; Huan-Xiang Zhou
Journal:  J Chem Theory Comput       Date:  2022-09-09       Impact factor: 6.578

  2 in total

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