pyrexMD

pyrexMD: Workflow-Orientated Python Package for Replica Exchange Molecular Dynamics - Published in JOSS (2021)

https://github.com/KIT-MBS/pyrexMD

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 11 DOI reference(s) in README
  • Academic publication links
    Links to: acs.org, joss.theoj.org, zenodo.org
  • Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • Institutional organization owner
    Organization kit-mbs has institutional domain (www.scc.kit.edu)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (19.8%) to scientific vocabulary

Scientific Fields

Biology Life Sciences - 84% confidence
Artificial Intelligence and Machine Learning Computer Science - 83% confidence
Last synced: 4 months ago · JSON representation

Repository

Workflow-orientated python package for Replica Exchange Molecular Dynamics

Basic Info
  • Host: GitHub
  • Owner: KIT-MBS
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 229 MB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

README.md

DOCS GH Actions CI codecov DOI DOI

About pyrexMD

pyrexMD is a Python package that is mainly designed for research projects which

  • use (contact-guided) Replica Exchange Molecular Dynamics or (contact-guided) Molecular Dynamics
  • or focus on structure analyses and comparison.

It has three main goals:

  1. Interactive 'all-purpose' environment. By including various modified GROMACS and MDAnalysis Python bindings, this package provides a comprehensive Jupyter notebooks based environment to design, run, and analyze MD simulation projects from beginning to end.
  2. Data visualization is important. In pyrexMD, most analysis functions for calculating useful quantities, such as root-mean-square deviation (RMSD), Q values, contact distances, etc., can generate specialized figures in the same step by passing the keyword argument plot=True.
  3. User-friendly and simple application. Where possible, the provided functions combine individual steps into comprehensive workflows with additional automation features. It is possible to rapidly create whole setup or structure-analysis workflows within a few commands, thereby significantly enhancing productivity and reducing the time spent on various stages of the project.

pyrexMD makes it straightforward to create, share, and reproduce research results or transfer the work to other biomolecular structures of interest. Furthermore, it lowers the technical barrier for non-specialists who want to use Replica Exchange for enhanced sampling.

pyrexMD should be used with Jupyter notebooks and requires GROMACS to run MD simulations.

Documentation

You can access the documentation via https://kit-mbs.github.io/pyrexMD/
and the quick guide via https://kit-mbs.github.io/pyrexMD/quick_guide.html.

Installation Instructions

(1) Install MPI:

On ubuntu:

sudo apt-get install openmpi-bin libopenmpi-dev

On macOS:

brew install mpich

(2) Download and install an MPI-enabled version of GROMACS following the instructions given below:

https://manual.gromacs.org/documentation/current/index.html

(3) Download and install the pyrexMD package:

git clone https://github.com/KIT-MBS/pyrexMD.git
cd pyrexMD
python -m pip install .

(4) Enable the trajectory viewer for Jupyter:

jupyter nbextension enable --py widgetsnbextension
jupyter nbextension enable --py nglview

Tests

To run the Python tests with code coverage, go into the pyrexMD folder and run:

coverage run -m pytest
coverage report html

Open htmlcov with any browser to see the code coverage, e.g.:

firefox htmlcov/index.html

Examples

To run one of the short examples, go into the pyrexMD/examples folder and run:

jupyter notebook

Participating

pyrexMD is free and open source. It is published under the MIT license. We welcome your contribution so feel free to ask questions, report bugs, fork, etc.

Citation

Voronin et al., (2021). pyrexMD: Workflow-Orientated Python Package for Replica Exchange Molecular Dynamics. Journal of Open Source Software, 6(68), 3325, https://doi.org/10.21105/joss.03325

bibtex entry:

@article{Voronin2021,
doi = {10.21105/joss.03325},
url = {https://doi.org/10.21105/joss.03325},
year = {2021},
publisher = {The Open Journal},
volume = {6},
number = {68},
pages = {3325},
author = {Arthur Voronin and Alexander Schug},
title = {{pyrexMD: Workflow-Orientated Python Package for Replica Exchange Molecular Dynamics}},
journal = {Journal of Open Source Software}
}

License

MIT License

Copyright (c) 2021 KIT-MBS

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Owner

  • Name: Multiscale Biomolecular Simulation
  • Login: KIT-MBS
  • Kind: organization
  • Location: Karlsruhe

Biophysics group at the Steinbuch Centre for Computing at the Karlsruhe Institute of Technology

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 217
  • Total Committers: 2
  • Avg Commits per committer: 108.5
  • Development Distribution Score (DDS): 0.226
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Arthur a****n@k****u 168
Arthur Voronin a****n@g****m 49
Committer Domains (Top 20 + Academic)
kit.edu: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: about 18 hours
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 2.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • janash (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/custom-badge.yml actions
  • actions/checkout v2 composite
.github/workflows/gh-actions-ci.yml actions
  • JamesIves/github-pages-deploy-action 4.1.4 composite
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/setup-node v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v1 composite
.github/workflows/gh-actions-manual-update.yml actions
  • JamesIves/github-pages-deploy-action 4.1.4 composite
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/setup-node v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v1 composite
requirements.txt pypi
  • GromacsWrapper ==0.8.0
  • MDAnalysis >=1.1.1
  • autopep8 >=1.5.7
  • autopep8 >=1.4.3
  • biopython ==1.78
  • duecredit >=0.9.1
  • future >=0.18.2
  • future >=0.17.1
  • h5py >=3.3.0
  • h5py >=2.10.0
  • heat ==1.0.0
  • heat ==0.5.0
  • ipywidgets >=7.6.3
  • ipywidgets >=7.4.2
  • jupyter >=1.0.0
  • matplotlib >=3.3.4
  • nglview ==2.0
  • numpy >=1.19.5
  • numpy >=1.21.0
  • pyperclip >=1.8.2
  • pyperclip >=1.7.0
  • pytest >=6.2.4
  • pytest-cov >=2.12.1
  • scikit-learn >=0.24.2
  • seaborn >=0.11.1
  • termcolor >=1.1.0
  • tqdm >=4.61.2
  • widgetsnbextension >=3.5.1
  • widgetsnbextension >=3.4.2
setup.py pypi
  • GromacsWrapper ==0.8.0
  • MDAnalysis >=1.1.1
  • autopep8 >=1.5.7
  • biopython ==1.78
  • duecredit >=0.9.1
  • future >=0.18.2
  • h5py >=3.3.0
  • heat ==1.0.0
  • ipywidgets >=7.6.3
  • jupyter >=1.0.0
  • matplotlib >=3.3.4
  • nglview ==2.0
  • numpy >=1.21.0
  • pyperclip >=1.8.2
  • pytest >=6.2.4
  • pytest-cov >=2.12.1
  • scikit-learn >=0.24.2
  • seaborn >=0.11.1
  • termcolor >=1.1.0
  • tqdm >=4.61.2
  • widgetsnbextension >=3.5.1