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Accelerated Molecular Dynamics Simulations with the AMOEBA Polarizable Force Field on Graphics Processing Units.

Steffen Lindert1, Denis Bucher2, Peter Eastman3

  • 1Department of Pharmacology, University of California San Diego , La Jolla, California 92093 United States ; Center for Theoretical Biological Physics, La Jolla, California 92093 United States.

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Accelerated molecular dynamics (aMD) with the AMOEBA polarizable force field enhances biomolecular simulations on GPUs. This efficient AMOEBA-aMD method accurately models protein stability and enzyme active sites for complex system studies.

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Area of Science:

  • Computational Chemistry
  • Biophysics
  • Molecular Dynamics

Background:

  • Accelerated molecular dynamics (aMD) significantly enhances sampling in molecular dynamics (MD) simulations.
  • Efficient GPU implementation is crucial for large-scale biomolecular simulations.

Purpose of the Study:

  • To implement and validate the aMD method within the OpenMM application layer, leveraging GPU computing.
  • To combine aMD with the AMOEBA polarizable force field (AMOEBA-aMD) for enhanced sampling of biomolecules.
  • To assess the accuracy and efficiency of the AMOEBA-aMD method for long time-scale simulations.

Main Methods:

  • Implementation of the aMD method in OpenMM for GPU acceleration.
  • Integration of the aMD method with the AMOEBA polarizable force field.
  • Benchmarking the AMOEBA-aMD method using standard parametrization.
  • Simulation of the BPTI protein and the endonuclease IV enzyme.

Main Results:

  • The AMOEBA-aMD method is efficiently implemented on GPUs, producing accurate results.
  • Protein structures (BPTI) remain stable on extended time scales with AMOEBA-aMD.
  • AMOEBA force field improves active-site description for endonuclease IV compared to fixed-charge models.

Conclusions:

  • The developed AMOEBA-aMD method enables efficient, long time-scale simulations of biomolecules using a polarizable force field.
  • This approach is valuable for studying complex biological systems requiring both enhanced sampling and polarizable force fields.
  • The AMOEBA-aMD method is publicly available for broader research applications.