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https://github.com/alchemistry/alchemlyb
the simple alchemistry library
https://github.com/alchemistry/alchemlyb
free-energy library molecular-dynamics python science
Last synced: about 1 month ago
JSON representation
the simple alchemistry library
- Host: GitHub
- URL: https://github.com/alchemistry/alchemlyb
- Owner: alchemistry
- License: bsd-3-clause
- Created: 2016-09-20T03:12:12.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2024-05-22T19:56:43.000Z (about 1 month ago)
- Last Synced: 2024-05-23T02:17:54.693Z (about 1 month ago)
- Topics: free-energy, library, molecular-dynamics, python, science
- Language: Python
- Homepage: https://alchemlyb.readthedocs.io
- Size: 1.97 MB
- Stars: 178
- Watchers: 16
- Forks: 47
- Open Issues: 22
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGES
- License: LICENSE
- Authors: AUTHORS
Lists
- awesome-python-chemistry - alchemlyb - Makes alchemical free energy calculations easier by leveraging the full power and flexibility of the PyData stack. (Simulations)
- awesome-python-chemistry - alchemlyb - Makes alchemical free energy calculations easier by leveraging the full power and flexibility of the PyData stack. (Simulations)
README
alchemlyb: the simple alchemistry library
=========================================|doi| |docs| |build| |cov| |anaconda|
**alchemlyb** makes alchemical free energy calculations easier to do
by leveraging the full power and flexibility of the PyData stack. It
includes:1. Parsers for extracting raw data from output files of common
molecular dynamics engines such as `GROMACS`_, `AMBER`_, `NAMD`_
and `other simulation codes`_.2. Subsamplers for obtaining uncorrelated samples from timeseries data
(including extracting independent, equilibrated samples
[Chodera2016]_ as implemented in the pymbar_ package).3. Estimators for obtaining free energies directly from this data, using
best-practices approaches for multistate Bennett acceptance ratio (MBAR)
[Shirts2008]_ and BAR (from pymbar_) and thermodynamic integration (TI)... _GROMACS: http://www.gromacs.org/
.. _AMBER: http://ambermd.org/
.. _NAMD: http://www.ks.uiuc.edu/Research/namd/
.. _`other simulation codes`: https://alchemlyb.readthedocs.io/en/latest/parsing.html
.. _`pymbar`: http://pymbar.readthedocs.io/Installation
------------**Install** via ``pip`` from `PyPi (alchemlyb)`_ ::
pip install alchemlyb
or as a `conda`_ package from the `conda-forge (alchemlyb)`_ channel
::conda install -c conda-forge alchemlyb
**Update** with ``pip`` ::
pip install --update alchemlyb
or with ``conda`` run ::
conda update -c conda-forge alchemlyb
to get the latest released version.
.. _`PyPi (alchemlyb)`: https://pypi.org/project/alchemlyb/
.. _`conda`: https://conda.io/
.. _`conda-forge (alchemlyb)`: https://anaconda.org/conda-forge/alchemlybGetting involved
----------------Contributions of all kinds are very welcome.
If you have questions or want to discuss alchemlyb please post in the `alchemlyb Discussions`_.
If you have bug reports or feature requests then please get in touch with us through the `Issue Tracker`_.
We also welcome code contributions: have a look at our `Developer Guide`_. Open an issue with the proposed fix or change in the `Issue Tracker`_ and submit a pull request against the `alchemistry/alchemlyb`_ GitHub repository.
.. _`alchemlyb Discussions`: https://github.com/alchemistry/alchemlyb/discussions
.. _`Developer Guide`: https://github.com/alchemistry/alchemlyb/wiki/Developer-Guide
.. _`Issue Tracker`: https://github.com/alchemistry/alchemlyb/issues
.. _`alchemistry/alchemlyb`: https://github.com/alchemistry/alchemlyb
References
----------.. [Shirts2008] Shirts, M.R., and Chodera, J.D. (2008). Statistically optimal
analysis of samples from multiple equilibrium states. The Journal of Chemical
Physics 129, 124105... [Chodera2016] Chodera, J.D. (2016). A Simple Method for Automated
Equilibration Detection in Molecular Simulations. Journal of Chemical Theory
and Computation 12, 1799–1805... |doi| image:: https://zenodo.org/badge/68669096.svg
:alt: Zenodo DOI
:scale: 100%
:target: https://zenodo.org/badge/latestdoi/68669096.. |docs| image:: https://readthedocs.org/projects/alchemlyb/badge/?version=latest
:alt: Documentation
:scale: 100%
:target: http://alchemlyb.readthedocs.io/en/latest/.. |build| image:: https://github.com/alchemistry/alchemlyb/actions/workflows/ci.yaml/badge.svg?branch=master
:alt: Build Status
:scale: 100%
:target: https://github.com/alchemistry/alchemlyb/actions/workflows/ci.yaml.. |cov| image:: https://codecov.io/gh/alchemistry/alchemlyb/branch/master/graph/badge.svg
:alt: Code coverage
:scale: 100%
:target: https://codecov.io/gh/alchemistry/alchemlyb.. |anaconda| image:: https://anaconda.org/conda-forge/alchemlyb/badges/version.svg
:alt: anaconda package
:scale: 100%
:target: https://anaconda.org/conda-forge/alchemlyb