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Algorithms to apply dihedral-angle constraints in molecular or stochastic dynamics simulations.

Maria PechlanerWilfred F van Gunsteren
Published in: The Journal of chemical physics (2020)
Various algorithms to apply dihedral-angle constraints in molecular dynamics or stochastic dynamics simulations of molecular systems are presented, investigated, and tested. They use Cartesian coordinates and determine the Lagrangian multipliers necessary for maintaining the constraints iteratively. The most suitable algorithm to maintain a dihedral-angle constraint is numerically compared to the alternative to use distance constraints to this end. It can easily be used to obtain a potential of mean force along a dihedral-angle coordinate.
Keyphrases
  • molecular dynamics
  • machine learning
  • high resolution
  • density functional theory
  • deep learning
  • single molecule