pyCapsid

Description

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

The package requires python < 3.11, we reccomend 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 0.2.0
File	Size	Uploaded
pyCapsid-0.2.0.tar.gz	52.4 MB	May 9, 2023	Details

Table of built distributions (wheels) for pyCapsid 0.2.0
File	Interpreter	ABI	Platform	Reset
pyCapsid-0.2.0-py3-none-any.whl 24.3 kB May 9, 2023	Python 3	none	any	Details

Total release size: 52.5 MB

Download URL	pyCapsid-0.2.0.tar.gz
Size	52.4 MB
Tags	Source
SHA-256 checksum How to use checksums	`6ae15db3280b77c4aa83cb91e7cf1972d39f461500be9b8d72b133d0f7342719`
BLAKE2b-256 checksum How to use checksums	`5624f69c599e0f0bca5443e38afbda5a5c76dec951846f35a075105cebda76e1`
Upload date	May 9, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.16`

Download URL	pyCapsid-0.2.0-py3-none-any.whl
Size	24.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`beb3efd7a273ba924a9c22f33a8b02a019f45e09062011243f935284b5868466`
BLAKE2b-256 checksum How to use checksums	`174a9fef97a73370c9fd2c5613f6dc46a58d1fb612fec73b96a2f2dabee93d87`
Upload date	May 9, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.16`