pyCapsid

Description

A python package for identification of dominant motions and rigid domains of protein shells using Elastic Network Models.

The package requires python >3.6 and < 3.11, we reccommend python 3.10. Via pip:

pip install pyCapsid

Via conda:

conda install -c luque_lab -c conda-forge pycapsid

Documentation is provided on our github pages site: https://luquelab.github.io/pyCapsid/

An example notebook is provided in the notebooks folder. An accompanying tutorial is provided in the documentation.

The Github Repository of this project: https://github.com/luquelab/pyCapsid

This is an evolving repository Started: 2022-10-24

FOLDER: /bin --> This folder contains basic scripts and executable files.

FOLDER: /data --> This folder contains the raw data associated with the project and the potential references.

FOLDER: /docs --> This folder contains the manuscript, digital copies of the cited references, figures, and other associated files for publication.

FOLDER: /results --> This folder contains the results, performance analysis, and commented references associated with the project.

FOLDER: /src --> This folder contains source code of the package.

The syntax of markdown files (.md) is CommonMark unless specified otherwise (https://commonmark.org/help/)

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for pyCapsid 0.4.3
File	Size	Uploaded
pyCapsid-0.4.3.tar.gz	59.1 MB	Jul 10, 2023	Details

Table of built distributions (wheels) for pyCapsid 0.4.3
File	Interpreter	ABI	Platform	Reset
pyCapsid-0.4.3-py3-none-any.whl 31.6 kB Jul 10, 2023	Python 3	none	any	Details

Total release size: 59.1 MB

Download URL	pyCapsid-0.4.3.tar.gz
Size	59.1 MB
Tags	Source
SHA-256 checksum How to use checksums	`6e8c6162312ddc0526431c1a25e2b9e678b31183c35e05a5b59ed9a4b17c4ccd`
BLAKE2b-256 checksum How to use checksums	`0305d145f8051b153f1e9c432c6ce16109d3464e34f25c589560f734975249d5`
Upload date	Jul 10, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`

Download URL	pyCapsid-0.4.3-py3-none-any.whl
Size	31.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f6c5bf1fe5af243ea666d84866a67737c23b760dbd4d85400b244658d0d72a4f`
BLAKE2b-256 checksum How to use checksums	`dfad9af380d410425f3480820ef49faab8e3e2ee6e5e96eeeea47caa86019c72`
Upload date	Jul 10, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`