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MDCraft

continuous-integration

MDCraft is a toolkit of analysis modules and helper functions for molecular dynamics (MD) simulations.

Note that MDCraft is currently an experimental library that has only been tested on Linux and may contain bugs and issues. If you come across one or would like to request new features, please submit a new issue.

Features

  • algorithm: Efficient NumPy and SciPy algorithms for data wrangling and evaluating structural and dynamical properties.
  • analysis: Serial and parallel data analysis tools built on top of the MDAnalysis framework.
  • fit: Two-dimensional curve fitting models for use with SciPy.
  • lammps: Helper functions for setting up LAMMPS simulations.
  • openmm: Extensions to the high-performance OpenMM toolkit, such as custom bond/pair potentials, support for NetCDF trajectories, and much more.
  • plot: Settings and additional functionality for Matplotlib figures.

Installation

MDCraft requires Python 3.9 or later.

For the most up-to-date version of MDCraft, clone the repository and install the package using pip:

git clone https://github.com/bbye98/mdcraft.git
cd mdcraft
python -m pip install -e .

MDCraft is also available on Conda and PyPI:

conda install -c bbye98 mdcraft
python -m pip install mdcraft

Prerequisites

If you use pip to manage your Python packages and plan on using the OpenMM simulation toolkit, you must compile and install OpenMM manually since OpenMM is not available in PyPI. See the "Compiling OpenMM from Source Code" section of the OpenMM User Guide for more information.

If you use Conda, it is recommended that you use the conda-forge channel to install dependencies. To make conda-forge the default channel, use

conda config --add channels conda-forge

Postrequisites

To use the image of method charges (mdcraft.openmm.system.add_image_charges()) in your OpenMM simulations, you must compile and install constvplugin or openmm-ic-plugin.

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