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OpenMM: A High Performance Molecular Dynamics Library

Introduction

Hacked verison of OpenMM designed for running the McDaniel lab's QM/MM/PME code. Identical to Jesse's original hacked OpenMM code base expect updated to the newest verison of OpenMM (7.7.0). This update allows for the use of the OpenMM-Torch plugin, making neural network forcefields usable during QM/MM simulations.

Basic compilation instructions

When compiling on PACE, need to load the following modules:

  • module load intel
  • module load anaconda3
  • module load cuda/10.0

Additionally need the following libraries installed to your conda environment:

  • conda install -c conda-forge cmake make cython swig fftw doxygen numpy pydantic
  • conda install -c psi4 gau2grid pint libgx
  • conda install -c anaconda lxml scipy

Build_script.sh included in ./build which loads required environment/modules and compiles code based on OpenMM compilation instructions.

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Hacked verison of OpenMM designed for running the McDaniel lab's QM/MM/PME code

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