[](https://badge.fury.io/py/py-packman) [](https://travis-ci.com/Pranavkhade/PACKMAN) [](https://py-packman.readthedocs.io/en/latest/?badge=latest) [](https://pepy.tech/project/py-packman)
PACKMAN: PACKing and Motion ANalysis
------------------------------------
<img src="https://github.com/Pranavkhade/PACKMAN/blob/master/docs/_static/gallary/logo.gif" width="250">
This package focuses on studying molecular structures and their dynamics using a simple yet informative property known as Protein Packing. Over the last few years, we have worked on several techniques to capture and quantify the protein packing, resulting in a few publications. This package has all the code to repeat and further develop these techniques.
DOCUMENTATION
-------------
* [IMPORTANT : Documentation, Tutorials & More](https://py-packman.readthedocs.io)
INSTALLATION
------------
1. Installing with pip (Recommended)
```
pip install py-packman
```
2. Installing from source
```
git clone https://github.com/Pranavkhade/PACKMAN
cd PACKMAN
python setup.py install
```
HOW TO USE
----------
PACKMAN, along with its components, can be accessed via Graphical User Interface (GUI), Command-line Interface (CLI), and Application programming interface (API).
For the GUI, please run the following command.
```
python -m packman gui
```
OR
```
python3 -m packman gui
```
For the CLI and API, please read the tutorials & documentation.
REPORTING ISSUES
----------------
[Click here](https://github.com/Pranavkhade/PACKMAN/issues/new) to report issues with any aspect of the package. Please search for the resolved issues first.
WEB SERVERS
-----------
* [Hinge Prediction Web Server](https://packman.bb.iastate.edu/)
* [hd-ANM Web Server](https://hdanm.bb.iastate.edu/)
* [Packing Entropy Web Server](https://packing-entropy.bb.iastate.edu/)
* [DCI web server](https://dci.bb.iastate.edu/)
RELATED RESEARCH ARTICLES
-------------------------
* [PACKMAN-molecule](https://doi.org/10.1093/bioadv/vbac007)
* [Hinge Prediction](https://doi.org/10.1016/j.jmb.2019.11.018)
* [Compliance](https://doi.org/10.1002/prot.25968)
* [hd-ANM](https://doi.org/10.1016/j.bpj.2021.10.017)
* [Packing Entropy](https://doi.org/10.1021/acsomega.2c00999)
* [DCI](https://doi.org/10.1093/bioinformatics/btac159)
ACKNOWLEDGEMENTS
----------------
The development of the PACKMAN package webservers are supported by [NSF](https://www.nsf.gov/) grant DBI 1661391. The authors also thank [ResearchIT@Iowa State University](https://researchit.las.iastate.edu/about-research-it-iowa-state-university) for helping with many aspects of computing.
Raw data
{
"_id": null,
"home_page": "https://github.com/Pranavkhade/PACKMAN",
"name": "py-packman",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "protein,dynamics,protein packing,protein domain,protein hinge",
"author": "Pranav Khade",
"author_email": "pranavk@iastate.edu",
"download_url": "https://files.pythonhosted.org/packages/e8/32/6c6b14c8d05952b603a4a68e71e53f9dec7f47bcaa710abd924ac9af382d/py-packman-1.4.12.tar.gz",
"platform": null,
"description": "[](https://badge.fury.io/py/py-packman) [](https://travis-ci.com/Pranavkhade/PACKMAN) [](https://py-packman.readthedocs.io/en/latest/?badge=latest) [](https://pepy.tech/project/py-packman)\n\n\nPACKMAN: PACKing and Motion ANalysis\n------------------------------------\n<img src=\"https://github.com/Pranavkhade/PACKMAN/blob/master/docs/_static/gallary/logo.gif\" width=\"250\">\n\nThis package focuses on studying molecular structures and their dynamics using a simple yet informative property known as Protein Packing. Over the last few years, we have worked on several techniques to capture and quantify the protein packing, resulting in a few publications. This package has all the code to repeat and further develop these techniques.\n\n\nDOCUMENTATION\n-------------\n* [IMPORTANT : Documentation, Tutorials & More](https://py-packman.readthedocs.io)\n\nINSTALLATION\n------------\n\n1. Installing with pip (Recommended)\n```\npip install py-packman\n```\n\n2. Installing from source\n```\ngit clone https://github.com/Pranavkhade/PACKMAN\ncd PACKMAN\npython setup.py install\n```\n\nHOW TO USE\n----------\n\nPACKMAN, along with its components, can be accessed via Graphical User Interface (GUI), Command-line Interface (CLI), and Application programming interface (API).\n\nFor the GUI, please run the following command.\n```\npython -m packman gui\n```\nOR\n```\npython3 -m packman gui\n```\n\nFor the CLI and API, please read the tutorials & documentation.\n\nREPORTING ISSUES\n----------------\n[Click here](https://github.com/Pranavkhade/PACKMAN/issues/new) to report issues with any aspect of the package. Please search for the resolved issues first.\n\nWEB SERVERS\n-----------\n* [Hinge Prediction Web Server](https://packman.bb.iastate.edu/)\n* [hd-ANM Web Server](https://hdanm.bb.iastate.edu/)\n* [Packing Entropy Web Server](https://packing-entropy.bb.iastate.edu/)\n* [DCI web server](https://dci.bb.iastate.edu/)\n\nRELATED RESEARCH ARTICLES\n-------------------------\n* [PACKMAN-molecule](https://doi.org/10.1093/bioadv/vbac007)\n* [Hinge Prediction](https://doi.org/10.1016/j.jmb.2019.11.018)\n* [Compliance](https://doi.org/10.1002/prot.25968)\n* [hd-ANM](https://doi.org/10.1016/j.bpj.2021.10.017)\n* [Packing Entropy](https://doi.org/10.1021/acsomega.2c00999)\n* [DCI](https://doi.org/10.1093/bioinformatics/btac159)\n\nACKNOWLEDGEMENTS\n----------------\n\nThe development of the PACKMAN package webservers are supported by [NSF](https://www.nsf.gov/) grant DBI 1661391. The authors also thank [ResearchIT@Iowa State University](https://researchit.las.iastate.edu/about-research-it-iowa-state-university) for helping with many aspects of computing.\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "A software package for molecular PACKing and Motion ANalysis (PACKMAN)",
"version": "1.4.12",
"project_urls": {
"Homepage": "https://github.com/Pranavkhade/PACKMAN"
},
"split_keywords": [
"protein",
"dynamics",
"protein packing",
"protein domain",
"protein hinge"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "7fcc6c697f897109910a62bc36d3264945dec554a595d5e1f601b58575bf17db",
"md5": "60a035a255cd3d33da9773c065840a93",
"sha256": "48b351d652d90dfaf5f4f7b8d374d48371275ab5d1b6010fd4f4fa58978c2cba"
},
"downloads": -1,
"filename": "py_packman-1.4.12-py3-none-any.whl",
"has_sig": false,
"md5_digest": "60a035a255cd3d33da9773c065840a93",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 242201,
"upload_time": "2024-01-19T07:25:52",
"upload_time_iso_8601": "2024-01-19T07:25:52.649131Z",
"url": "https://files.pythonhosted.org/packages/7f/cc/6c697f897109910a62bc36d3264945dec554a595d5e1f601b58575bf17db/py_packman-1.4.12-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e8326c6b14c8d05952b603a4a68e71e53f9dec7f47bcaa710abd924ac9af382d",
"md5": "e436a7dbba00c645d71eb6efa3a6f330",
"sha256": "8274cba3b395da93fda83188170fd6550c1ec045fef71f9f212e267484b076fe"
},
"downloads": -1,
"filename": "py-packman-1.4.12.tar.gz",
"has_sig": false,
"md5_digest": "e436a7dbba00c645d71eb6efa3a6f330",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 224880,
"upload_time": "2024-01-19T07:25:54",
"upload_time_iso_8601": "2024-01-19T07:25:54.924125Z",
"url": "https://files.pythonhosted.org/packages/e8/32/6c6b14c8d05952b603a4a68e71e53f9dec7f47bcaa710abd924ac9af382d/py-packman-1.4.12.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-01-19 07:25:54",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "Pranavkhade",
"github_project": "PACKMAN",
"travis_ci": true,
"coveralls": false,
"github_actions": true,
"lcname": "py-packman"
}
JSON
