Skip to main content

No project description provided

Project description

Martinize2 and vermouth: The ultimate resolution transformation tools

Build Status codecov Documentation Status DOI arXiv

Martinize2 is a rewrite of Martinize. It is aimed at producing coarse-grained structures and topologies from an atomistic structure. Martinize is primarily developed for the Martini coarse-grained force field and the Gromacs simulation engine. However the architecture of the program will allow us to support a broader range of force fields and simulation engines in the future.

Vermouth (for VERsatile, MOdular, and Universal Tranformation Helper) is the python library that powers Martinize2. It allows to describe and apply transformation on molecular structures and topologies using graph algorithms.

Disclaimer

Martinize2 and Vermouth are under development. So far they have mostly been tested on Martini 2 and Martini 3. If you use Martinize 2 and Vermouth for any other force field be sure to carefully check the resulting topologies!
Bugs can occur. If you encounter an issue, please report it on https://github.com/marrink-lab/vermouth-martinize/issues. Carefully check your input and output files before using them; read the messages displayed by the program.

Installation

Martinize2 and vermouth require python 3.6 or greater. They are distributed via PyPi, and can be installed using the pip command:

pip install vermouth

This installs the last released version. You can update an existing installation by running pip install -U vermouth. In some cases you may want to experiment with running the latest development version. You can install this version with the following command:

pip install git+https://github.com/marrink-lab/vermouth-martinize.git#vermouth

Note that vermouth and Martinize2, in particular development versions, may contain bugs that cause it to produce incorrect topologies. Check the produced output carefully!

Martinize2 and vermouth have mdtraj as optional dependency as an alternative to dssp.

The behavior of the pip command can vary depending of the specificity of your python installation. See the documentation on installing a python package to learn more.

Basic usage

Installing Martinize2 and vermouth with pip adds the martinize2 program to the research PATH. You can see the available option of the program by running:

martinize2 -h

At the moment, martinize2 tries to reproduce the interface of the original Martinize. You can find explanations on how to use Martinize on the Martini tutorials; in most cases, replacing calls to martinize.py by calls to martinize2 should produce similar results.

The documentation of the vermouth python library will come soon.

Citation

@article{kroon2022martinize2,
  title={Martinize2 and Vermouth: Unified Framework for Topology Generation},
  author={Kroon, Peter C and Gr{\"u}newald, Fabian and Barnoud, Jonathan and van Tilburg, Marco 
          and Souza, Paulo CT and Wassenaar, Tsjerk A and Marrink, Siewert-Jan},
  journal={arXiv preprint arXiv:2212.01191},
  year={2022}}

Documentation

More complete documentation, including API documentation can be found at https://vermouth-martinize.readthedocs.io/

License

Martinize2 and vermouth are distributed under the Apache 2.0 license.

Copyright 2018 University of Groningen

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

	http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

The full text of the license is available in the source repository.

Contributions

The development of Martinize2 and vermouth is done on github. Contributions are welcome as bug reports and pull requests. Note however that the decision of whether or not contributions can give authorship on the resulting academic paper is left to our sole discretion.

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

vermouth-0.10.0.tar.gz (2.7 MB view details)

Uploaded Source

Built Distribution

vermouth-0.10.0-py2.py3-none-any.whl (3.0 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file vermouth-0.10.0.tar.gz.

File metadata

  • Download URL: vermouth-0.10.0.tar.gz
  • Upload date:
  • Size: 2.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for vermouth-0.10.0.tar.gz
Algorithm Hash digest
SHA256 2ff36034e63a43bfe5668fc9be8e45ad44e7301d2ce30abb291033f4e4d687da
MD5 5ead21273c02716018f15ae3bcf03f3c
BLAKE2b-256 031e2e7464d71c5ee0754b900b76dbe4a5f3ac6486a58c1138e36934f97f551e

See more details on using hashes here.

Provenance

File details

Details for the file vermouth-0.10.0-py2.py3-none-any.whl.

File metadata

  • Download URL: vermouth-0.10.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for vermouth-0.10.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 eac6e139408fb5f42fd925d67d1dc398d999c3cb60ebf7bf463abac161aecf27
MD5 fd58f1ddcc824c28624e465e6f797a6d
BLAKE2b-256 f70f0b816d2d18942b509399547d8e979b515abc144c7d6d60b9aa7b707178fa

See more details on using hashes here.

Provenance

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