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Fully Anisotropic Rotational Diffusion Tensor from Molecular Dynamics Simulations.

Max Linke1, Jürgen Köfinger1, Gerhard Hummer1,2

  • 1Max Planck Institute of Biophysics , Max-von-Laue-Str. 3 , 60438 Frankfurt am Main , Germany.

The Journal of Physical Chemistry. B
|February 1, 2018
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Summary
This summary is machine-generated.

We developed a new method to calculate anisotropic rotational diffusion tensors from molecular dynamics simulations. This approach accurately determines rotational dynamics for molecules like DNA and proteins.

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Area of Science:

  • Computational chemistry
  • Biophysics
  • Molecular dynamics

Background:

  • Understanding molecular rotational dynamics is crucial in biophysics.
  • Anisotropic rotational diffusion describes complex molecular motion.
  • Existing methods may have limitations in accuracy and applicability.

Purpose of the Study:

  • To present a novel method for calculating the fully anisotropic rotational diffusion tensor.
  • To validate the method using molecular dynamics simulations.
  • To compare simulation-derived tensors with hydrodynamic predictions.

Main Methods:

  • Fitting the time-dependent covariance matrix of quaternions describing rigid-body rotational dynamics.
  • Utilizing explicit analytical expressions for covariances derived by Favro.
  • Employing optimal rigid-body superposition for molecular structure alignment.
  • Determining the rotational diffusion tensor via fitting or Laplace transformation and matrix diagonalization.

Main Results:

  • The method successfully calculates anisotropic rotational diffusion tensors from simulation trajectories.
  • Analytical expressions for uncertainty quantification were derived and compared with Brownian dynamics simulations.
  • Microsecond-scale trajectories of B-DNA dodecamer and myoglobin were analyzed.
  • Calculated tensors showed good agreement with hydrodynamic predictions.

Conclusions:

  • The presented method provides an accurate way to determine anisotropic rotational diffusion tensors from molecular dynamics simulations.
  • This approach is applicable to complex biological molecules.
  • The findings support the utility of molecular dynamics simulations in predicting molecular rotational behavior.