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mdtools: Tools for Running MD Simulations in OpenMM

This package is intended to provide a useful framework for running MD simulations using OpenMM. The goal of mdtools is to extend OpenMM's funcitonality by facilitating common use cases with sensible default parameter values. With mdtools, you can run an MD simulation of a protein in a waterbox or the unit cell from a crystal structure with just a few lines of Python code.

For now, this repo is very much targeted to my current use cases, which is centered around comparing MD simulations to crystallographic data.

Installation

I have not yet made this package available on PyPI. Until then, mdtools can be installed locally by cloning the repository and using the included setup.py:

git clone https://github.com/Hekstra-Lab/mdtools.git
cd mdtools
python setup.py install

However, one would need to pre-install the following packages as specified in conda-recipe/meta.yaml:

- openmm>=7
- reciprocalspaceship=1.0.0 
- gemmi 
- mdtraj
- matplotlib

For example, openmm and mdtraj could be installed from conda:

conda install -c omnia -c conda-forge openmm
conda install -c conda-forge mdtraj

Alternatively, build the package by yourself and install all the above dependencies automatically with Conda:

conda create -n NEW_CONDA_ENV_NAME python=DESIRED_PYTHON_VERSION # >=3.7 
conda activate NEW_CONDA_ENV_NAME
conda build . --python=DESIRED_PYTHON_VERSION #choose from 3.7, 3.8, 3.9, 3.10, 3.11
conda install --use-local mdtools

Note: building the package could be very slow in vanilla Conda due to the many dependencies that need to be resolved. Please consider installing boa and use conda mambabuild for an immense speed-up. Also, use mamba install instead of conda install for additional speed-up.

The above Conda build and install method has been tested on arm64 OSX and also on FASRC clusters.

Examples

Example scripts that make use of the provided libraries will be found in the examples directory (Stay tuned).

Changelog

  • Added and reformatted many docstrings for extensive documentation purpose.
  • Added many utility functions in mdtools.utils for performing post-simulation analyses on crystal MD systems.
  • Support saving velocities and other data through additional reporters in MDSystem.buildSimulation.
  • Support reporting force overflows at specific atoms in MDSystem.equilibrate and MDSystem.simulate, which are very helpful for debugging forcefield issues during pilot MD simulation runs.
  • Support bulk addition of specified amount of water during squeeze runs and set target volume to reach convergence more rapidly under prior knowledge about system density or volume.
  • Several minor QoL changes.