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# TEMPLATE MDAKit file
# --------------------
#
# Please replace ALL entries with appropriate content for YOUR MDAKit.
# Below we use the placeholder GH_HOST_ACCOUNT for the GitHub account where
# the source code repository is held, typically your username or the
# organization that you're part off.
# MYPROJECT is the name of your project (the repository name and here
# we assume that this is also the PyPi/conda package name) whereas
# MYPACKAGE is how you import it in python.
#
# See https://mdakits.mdanalysis.org/add.html for more information.
#
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#------------------------------------------------------------
# Required entries
#------------------------------------------------------------
## str: name of the project (the respository name)
project_name: QMzyme

## List(str): a link to the authors file (preferred) or a list of authors
authors:
- https://github.com/Klem-Research-Group/QMzyme#code-contributorsdevelopers

## List(str): a list of maintainers
## Please note these _must_ be GitHub handles
## The maintainers will be tagged in issues if their MDAKit is failing.
maintainers:
- Klem-Research-Group
- hklem
- MirumKim

## str: a free form description of the mdakit
description:
QM-based enzyme model generation and validation.

## List(str): a list of keywords which describe the mdakit
keywords:
- theozyme
- compuzyme
- cluster
- active-site
- biocatalysis
- enzyme-mechanisms
- quantum-mechanics
- QM-input

## str: the license the mdakit falls under
## See https://spdx.org/licenses/ for valid license specifiers
license: MIT License

## str: the link to the project's code
## Please note that this is not limited to GitHub! Can be Gitlab, etc..
project_home: https://github.com/Klem-Research-Group/QMzyme/

## str: the link to the project's documentation
documentation_home: https://qmzyme.readthedocs.io/

## str: the type of documentation available [UserGuide, API, README]
documentation_type: UserGuide + API

## List(str): a list of commands to use when installing the mdakit from its
## source code.
src_install:
- conda create -n qmzyme -y python=3.11
- conda activate qmzyme
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- pip install git+https://github.com/Klem-Research-Group/QMzyme@main

## str: the package name used to import the mdakit
import_name: QMzyme

## str: a specification for the range of Python versions supported by this MDAKit
python_requires: ">=3.11"

## str: a specification for the range of MDAnalysis versions supported by this MDAKit
mdanalysis_requires: ">=2.0.0"

## List(str): a list of commands to use when attempting to run the MDAKit's tests
## If you package your tests inside your package then you can typically use the
## pytest --pyargs MYPACKAGE
## command as shown below.
## Otherwise you need to include commands to make the tests available.
## For example, if the tests are in the repository at the top level under `./tests`:
## First use `git clone latest` to either clone the top commit for "development code" checks or check out
## the latest tag for "latest release" checks. Then then run pytest:
## - git clone latest
## - pytest -v ./tests
## Feel free to ask for advice on your pull request!
run_tests:
- pytest -v
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## List(str): a list of commands to use to install the necessary dependencies required
## to run the MDAKit's tests.
## The default below _might_ be sufficient or you might not even need MDAnalysisTests:
## make sure that it is appropriate for how you run tests.
test_dependencies:
- git clone https://github.com/Klem-Research-Group/QMzyme
- cd QMzyme
- python -m pip install ".[test]"

## str: the organisation name the MDAKit falls under
project_org: Klem-Research-Group

#------------------------------------------------------------
# Optional entries
#------------------------------------------------------------

## List(str) a list of publications to cite when using the MDAKit
## Links to scientific publications or stable URLs (typically of the form
## https://doi.org/<DOI> or to a preprint server)
publications:
- TBD
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## str: a link to the MDAKit's community (mailing list, github discussions, etc...)
community_home: https://qmzyme.readthedocs.io/