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Best Practices in Constant pH MD Simulations: Accuracy and Sampling.

Pavel Buslaev1, Noora Aho1, Anton Jansen2

  • 1Nanoscience Center and Department of Chemistry, University of Jyväskylä, 40014 Jyväskylä, Finland.

Journal of Chemical Theory and Computation
|September 15, 2022
PubMed
Summary
This summary is machine-generated.

This study provides guidelines for accurate long time scale constant pH molecular dynamics (MD) simulations. Small force field modifications and higher-order fits improve convergence and pKa predictions.

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Area of Science:

  • Computational Chemistry
  • Biomolecular Simulation
  • Physical Chemistry

Background:

  • Accurate molecular dynamics (MD) simulations require incorporating pH effects.
  • The lambda-dynamics approach offers a computationally efficient method for pH-dependent MD.
  • Long time scale simulations necessitate critical evaluation of force fields and parameterization.

Purpose of the Study:

  • To provide guidelines for setting up and performing long time scale constant pH MD simulations.
  • To address accuracy and sampling issues in microsecond time scale simulations.
  • To enable widespread application of constant pH MD beyond pKa prediction.

Main Methods:

  • Utilized the lambda-dynamics approach for constant pH MD simulations.
  • Proposed minor modifications to the CHARMM36m force field to reduce torsional barriers.
  • Employed higher-order polynomial fits for correction potentials.

Main Results:

  • Modified force field achieved converged protonation and torsional distributions.
  • Consistent pKa estimates were obtained with the proposed modifications.
  • Higher-order fits for correction potentials proved essential for accuracy.

Conclusions:

  • Small force field adjustments and accurate correction potentials are crucial for reliable constant pH MD.
  • The developed methods enhance the accuracy and sampling efficiency of MD simulations.
  • This work facilitates broader use of constant pH MD in various applications.