https://github.com/astrazeneca/jazzy

Fast calculation of hydrogen-bond strengths and free energy of hydration of small molecules.

https://github.com/astrazeneca/jazzy

Science Score: 26.0%

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
  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.0%) to scientific vocabulary

Keywords from Contributors

interactive archival projection generic sequences observability autograding hacking shellcodes modular
Last synced: 10 months ago · JSON representation

Repository

Fast calculation of hydrogen-bond strengths and free energy of hydration of small molecules.

Basic Info
Statistics
  • Stars: 84
  • Watchers: 1
  • Forks: 7
  • Open Issues: 16
  • Releases: 15
Created over 4 years ago · Last pushed about 1 year ago
Metadata Files
Readme Contributing License Code of conduct

README.rst

.. image:: https://raw.githubusercontent.com/AstraZeneca/jazzy/master/docs/_static/jazzy.png
  :width: 400
  :alt: Jazzy

|PyPI| |Status| |Python Version| |License|

|Read the Docs| |Tests| |Codecov|

|pre-commit| |Black|

.. |PyPI| image:: https://img.shields.io/pypi/v/jazzy.svg
   :target: https://pypi.org/project/jazzy/
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   :target: https://codecov.io/gh/AstraZeneca/jazzy
   :alt: Codecov
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Full Author List
----------------
* Eike Caldeweyher
* Gian Marco Ghiandoni


Introduction
------------
*Jazzy* is an efficient computational tool for the calculation of hydration free energies and hydrogen-bond acceptor and donor strengths.
A publication describing the implementation, fitting, and validation of *Jazzy* can be found at `doi.org/10.1038/s41598-023-30089-x`_.

| If you are using *Jazzy* in your research, please remember to cite our publication as:
| *Ghiandoni, G.M., Caldeweyher, E. Fast calculation of hydrogen-bond strengths and free energy of hydration of small molecules. Sci Rep 13, 4143 (2023)*


Features
--------

* Hydration free energies
* Hydrogen-bond strengths
* Visualisation functions (SVG)
* Application programming interface
* Command-line interface


Installation via PyPI
---------------------

You can install *Jazzy* via pip_ from PyPI_:

.. code:: console

   $ pip install jazzy


Installation via Poetry (for development)
-----------------------------------------

Requirements to install *Jazzy* from the code repository:

- `poetry`_
- `pyenv`_ or `conda`_
- python>=3.6

First check that ``poetry`` is running (v1.4.1 at March 2023)

.. code:: console

   $ poetry --version
   Poetry version v1.4.1

Create a virtual environment (via ``pyenv`` or ``conda``) and activate it. Afterwards, clone the *Jazzy* project from GitHub and install it using ``poetry``.

.. code:: console

   $ git clone git@github.com:AstraZeneca/jazzy.git
   $ cd jazzy
   $ poetry install

If you wish to replicate our parameter fitting (see ``data/optuna_fitting`` and ``optimisation``), you need to install the specific version of ``optuna``.
At the time of the study, we used ``optuna==2.3.0``. You can install that manually using ``pip`` or ``poetry``.

.. code:: console

   $ poetry install --with optuna
   $ pip freeze | grep optuna
   optuna==2.3.0

Usage and Cookbook
------------------

Please see the `Usage `_ and `Cookbook `_ sections for details.


Contributing
------------

Jazzy is an open project in every shape and form, thus feedback on how to improve its documentation or functionalities is always welcome.
To learn more, see the `Contributor Guide`_.


License
-------

Distributed under the terms of the `Apache 2.0 license`_,
*Jazzy* is free and open source software.


Issues
------

If you encounter any problems,
please `file an issue`_ along with a detailed description.


Credits
-------

This project was generated from `@cjolowicz`_'s `Hypermodern Python Cookiecutter`_ template.

.. _@cjolowicz: https://github.com/cjolowicz
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _Apache 2.0 license: https://opensource.org/licenses/Apache-2.0
.. _poetry: https://python-poetry.org/docs/#installation
.. _pyenv: https://github.com/pyenv/pyenv#installation
.. _conda: https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html
.. _PyPI: https://pypi.org/
.. _Hypermodern Python Cookiecutter: https://github.com/cjolowicz/cookiecutter-hypermodern-python
.. _file an issue: https://github.com/AstraZeneca/jazzy/issues
.. _pip: https://pip.pypa.io/
.. _doi.org/10.1038/s41598-023-30089-x: https://doi.org/10.1038/s41598-023-30089-x
.. github-only
.. _Contributor Guide: contributing.rst
.. _Cookbook: https://jazzy.readthedocs.io/en/latest/cookbook.html
.. _Usage: https://jazzy.readthedocs.io/en/latest/usage.html

Owner

  • Name: AstraZeneca
  • Login: AstraZeneca
  • Kind: organization
  • Location: Global

Data and AI: Unlocking new science insights

GitHub Events

Total
  • Create event: 30
  • Issues event: 2
  • Release event: 4
  • Watch event: 7
  • Delete event: 30
  • Issue comment event: 25
  • Push event: 25
  • Pull request review event: 1
  • Pull request event: 48
  • Fork event: 1
Last Year
  • Create event: 30
  • Issues event: 2
  • Release event: 4
  • Watch event: 7
  • Delete event: 30
  • Issue comment event: 25
  • Push event: 25
  • Pull request review event: 1
  • Pull request event: 48
  • Fork event: 1

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 214
  • Total Committers: 3
  • Avg Commits per committer: 71.333
  • Development Distribution Score (DDS): 0.28
Past Year
  • Commits: 18
  • Committers: 2
  • Avg Commits per committer: 9.0
  • Development Distribution Score (DDS): 0.5
Top Committers
Name Email Commits
dependabot[bot] 4****] 154
Gian Marco Ghiandoni g****i@a****m 34
Eike Caldeweyher h****o@e****e 26
Committer Domains (Top 20 + Academic)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 462 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 16
  • Total maintainers: 2
pypi.org: jazzy

Jazzy allows calculating a set of atomic/molecular descriptors including the Gibbs free energy of hydration (kJ/mol), its polar/apolar components, and the hydrogen-bond strength of donor and acceptor atoms.

  • Versions: 16
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 462 Last month
Rankings
Stargazers count: 8.5%
Dependent packages count: 10.0%
Forks count: 14.2%
Average: 14.9%
Downloads: 20.1%
Dependent repos count: 21.8%
Maintainers (2)
Last synced: 12 months ago

Dependencies

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pyproject.toml pypi
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  • typeguard ^2.13.3 develop
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  • python ^3.8.0
  • rdkit-pypi <=2021.9.4
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