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 0.4.8
File	Size	Uploaded
pyCapsid-0.4.8.tar.gz	59.1 MB	Jul 13, 2023	Details

Table of built distributions (wheels) for pyCapsid 0.4.8
File	Interpreter	ABI	Platform	Reset
pyCapsid-0.4.8-py3-none-any.whl 33.6 kB Jul 13, 2023	Python 3	none	any	Details

Total release size: 59.1 MB

Download URL	pyCapsid-0.4.8.tar.gz
Size	59.1 MB
Tags	Source
SHA-256 checksum How to use checksums	`fd315544592643eed9263fcf8d386f9a4c4c088fd05e373651e871c235b544d9`
BLAKE2b-256 checksum How to use checksums	`271943c10e6f52de56d8724923434ad6984ccd64c7327590ffabdfcd0a087dba`
Upload date	Jul 13, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`

Download URL	pyCapsid-0.4.8-py3-none-any.whl
Size	33.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`94f3dc9e04b7d075f100ee6ddd2fe9bbb4f9564a5e293e5aa676a4a430c9d39f`
BLAKE2b-256 checksum How to use checksums	`83c772feee096b8f1ffed81dcf4ee87018970140e27d0f528d041877d89a3056`
Upload date	Jul 13, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`