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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.
✨ What's new?
This option allows user to use the hinge prediction, hdANM and Entropy calculation all in one place with few clicks. If users do not wish to use any CLI/ Python code, this is the best option. Please install docker
✨If you struggle with the command line, please visit the packman-streamlit repo, select the latest from dropdown and click on "▶︎ Run in Docker Desktop" in bottom right to skip the commands below.
Otherwise, two command setup:
docker pull pranavkhade/packman-streamlit docker run -p 8501:8501 pranavkhade/packman-streamlit:latest
If a webpage doesn't automatically open use either of the following address on your web-browser (Google Chrome/ Firefox etc.)
http://localhost:8501 OR http://0.0.0.0:8501
pip install py-packman
git clone https://github.com/Pranavkhade/PACKMAN cd PACKMAN python setup.py install
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.
Click here to report issues with any aspect of the package. Please search for the resolved issues first.
The development of the PACKMAN package was in past from 2017 to 2022 and webservers still is supported by NSF grant DBI 1661391. The authors also thank ResearchIT@Iowa State University for helping with server deployment @Iowa State University.
Development past April 2022 are done without any financial or any other support of any kind.
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