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Constant-pH Molecular Dynamics Simulations for Large Biomolecular Systems

Journal Article · · Journal of Chemical Theory and Computation
 [1];  [2];  [3];  [1];  [1];  [4];  [5];  [6]
  1. Argonne National Lab. (ANL), Argonne, IL (United States). Leadership Computing Facility
  2. Université de Lorraine (France). Laboratoire International Associé Centre National de la Recherche Scientifique et University of Illinois at Urbana−Champaign; University of Illinois at Urbana−Champaign, Urbana, IL (United States). Dept. of Physics
  3. Univ. of Chicago, IL (United States). Department of Chemistry
  4. University of Illinois at Urbana−Champaign, Urbana, IL (United States). Theoretical and Computational Biophysics Group, Beckman Institute for Advanced Science and Technology
  5. University of Illinois at Urbana−Champaign, Urbana, IL (United States). Theoretical and Computational Biophysics Group, Beckman Institute for Advanced Science and Technology and Department of Physics
  6. Univ. of Chicago, IL (United States). Department of Biochemistry and Molecular Biology and Department of Chemistry; Argonne National Lab. (ANL), Argonne, IL (United States). Center for Nanoscale Materials

We report that an increasingly important endeavor is to develop computational strategies that enable molecular dynamics (MD) simulations of biomolecular systems with spontaneous changes in protonation states under conditions of constant pH. The present work describes our efforts to implement the powerful constant-pH MD simulation method, based on a hybrid nonequilibrium MD/Monte Carlo (neMD/MC) technique within the highly scalable program NAMD. The constant-pH hybrid neMD/MC method has several appealing features; it samples the correct semigrand canonical ensemble rigorously, the computational cost increases linearly with the number of titratable sites, and it is applicable to explicit solvent simulations. The present implementation of the constant-pH hybrid neMD/MC in NAMD is designed to handle a wide range of biomolecular systems with no constraints on the choice of force field. Furthermore, the sampling efficiency can be adaptively improved on-the-fly by adjusting algorithmic parameters during the simulation. Finally, illustrative examples emphasizing medium- and large-scale applications on next-generation supercomputing architectures are provided.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE; Argonne National Laboratory, Argonne Leadership Computing Facility, Early Science Program; National Institutes of Health (NIH) - National Institute of General Medical Sciences
Grant/Contract Number:
AC02-06CH11357
OSTI ID:
1421956
Journal Information:
Journal of Chemical Theory and Computation, Journal Name: Journal of Chemical Theory and Computation Journal Issue: 12 Vol. 13; ISSN 1549-9618
Publisher:
American Chemical SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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Simulating ion channel activation mechanisms using swarms of trajectories journal October 2019
Calibration of the dianionic phosphate group: Validation on the recognition site of the homodimeric enzyme phosphoglucose isomerase journal December 2019
Protonation state of the selectivity filter of bacterial voltage‐gated sodium channels is modulated by ions journal October 2019
SAMPL6: calculation of macroscopic pKa values from ab initio quantum mechanical free energies journal August 2018
Simulations of ionization equilibria in weak polyelectrolyte solutions and gels journal January 2019
Reservoir pH replica exchange journal August 2018
A generalized linear response framework for expanded ensemble and replica exchange simulations journal August 2018
The hydration structure of methylthiolate from QM/MM molecular dynamics journal July 2018
Structure of voltage-dependent anion channel-tethered bilayer lipid membranes determined using neutron reflectivity journal November 2018
Structure of voltage-dependent anion channel-tethered bilayer lipid membranes determined using neutron reflectivity text January 2018

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