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 0.2.7
File	Size	Uploaded
pyCapsid-0.2.7.tar.gz	52.5 MB	May 31, 2023	Details

Table of built distributions (wheels) for pyCapsid 0.2.7
File	Interpreter	ABI	Platform	Reset
pyCapsid-0.2.7-py3-none-any.whl 26.8 kB May 31, 2023	Python 3	none	any	Details

Total release size: 52.6 MB

Download URL	pyCapsid-0.2.7.tar.gz
Size	52.5 MB
Tags	Source
SHA-256 checksum How to use checksums	`31bbe5352c5eff519b490782f685f76a9a16e945999d0457203bad415fe9b07e`
BLAKE2b-256 checksum How to use checksums	`ebdc809c0b911f50ff862ad473105ce8fe60ce7840c814b2c4ee9ba4fd57f65d`
Upload date	May 31, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.16`

Download URL	pyCapsid-0.2.7-py3-none-any.whl
Size	26.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f3ddd83bf3e5add1ff60a533866a8b548263a1563af54ecab4c722e79ed58dca`
BLAKE2b-256 checksum How to use checksums	`7841b09943accf3d65e0c6e6ffbf2068758bd652b2890b486b44f527504194f2`
Upload date	May 31, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.16`