Skip to main content

Kinetic Monte Carlo Molecular Dynamics

Project description

KIMMDY

test latest release

Reactive MD pipeline for GROMACS using Kinetic Monte Carlo / Molecular Dynamics (KIMMDY)

Installation

Note: KIMMDY requires GROMACS to be installed. Some reactions need a GROMACS version patched with PLUMED. The gromacs version name should then contain MODIFIED or plumed.

pip install kimmdy

This installation includes only the most basic functionality as no plugins and analysis tools are installed.

To install the builtin reaction plugins, use

pip install kimmdy[reactions]

To install the builtin reactions and analysis tools use

pip install kimmdy[reactions,analysis]

However, this is only half the fun!

KIMMDY has two exciting plugins in the making, which properly parameterize your molecules for radicals using GrAPPa (Graph Attentional Protein Parametrization) and predict Hydrogen Atom Transfer (HAT) rates.

Full installation instructions are available here

Documentation

The documentation is available here.

Getting started

Head over to the getting started tutorial.

Development

Development setup

Clone kimmdy and the default reaction and parameterization plugins and install requirements and kimmdy as editable via

git clone git@github.com:graeter-group/kimmdy.git
git clone git@github.com:graeter-group/kimmdy-reactions.git
git clone git@github.com:graeter-group/kimmdy-grappa.git
cd kimmdy
python -m venv .venv
source ./venv/bin/activate
pip install -r requirements.txt

Conventions:

  • code style: black
  • docstrings: numpy
  • Conventional commit messages when possible for pretty release notes.

Local testing

For developoment, we provide a docker image containing gromacs and multiple python versions to test against.
To run the test locally, you must:

  • install docker
  • install act, the easiest option is with github cli via gh extension install https://github.com/nektos/gh-act
  • run tests with gh extension exec act -j test --artifact-server-path ./artifacts
  • html coverage report is exported into artifacts

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kimmdy-6.13.0.tar.gz (39.4 MB view details)

Uploaded Source

Built Distribution

kimmdy-6.13.0-py3-none-any.whl (107.7 kB view details)

Uploaded Python 3

File details

Details for the file kimmdy-6.13.0.tar.gz.

File metadata

  • Download URL: kimmdy-6.13.0.tar.gz
  • Upload date:
  • Size: 39.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for kimmdy-6.13.0.tar.gz
Algorithm Hash digest
SHA256 94aab9f442cfef2519cd2d594be23ca2d2b96ae007e24db1d204821314137c6f
MD5 83ae6f58c557be9b63e0eb062e1e86ed
BLAKE2b-256 981ebfe4e4e146b1e5b85ab6b815774f00d76d15203e282a8a8ed364ea89e210

See more details on using hashes here.

File details

Details for the file kimmdy-6.13.0-py3-none-any.whl.

File metadata

  • Download URL: kimmdy-6.13.0-py3-none-any.whl
  • Upload date:
  • Size: 107.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for kimmdy-6.13.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0be0390ead07cfdfff3d433a3b7288d3a3be1f2d5044e6ac4996f9ec61e83ea2
MD5 f5f6226c77e9133512cba1993f201d6f
BLAKE2b-256 1a79d51e47fa38a8b0733ec56901aa394199dd5ae3019801f9423a15c512eab7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page