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 0.4.0
File	Size	Uploaded
pyCapsid-0.4.0.tar.gz	59.1 MB	Jul 3, 2023	Details

Table of built distributions (wheels) for pyCapsid 0.4.0
File	Interpreter	ABI	Platform	Reset
pyCapsid-0.4.0-py3-none-any.whl 28.6 kB Jul 3, 2023	Python 3	none	any	Details

Total release size: 59.1 MB

Download URL	pyCapsid-0.4.0.tar.gz
Size	59.1 MB
Tags	Source
SHA-256 checksum How to use checksums	`961a9e25dfad16499f45f17fff6a4e1dbd6c2c5e3ec1658fd73b127d3e0e78ca`
BLAKE2b-256 checksum How to use checksums	`484de2f5501ae795e6c4929ce1d87e5275ae96636f56b1896b99e7932c8c70dd`
Upload date	Jul 3, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`

Download URL	pyCapsid-0.4.0-py3-none-any.whl
Size	28.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`cb04ec56bd636b3f02fb4f69390fcc2a7e5c8108764891ff908903127a2aaa3e`
BLAKE2b-256 checksum How to use checksums	`c4d63c9345953f6d309a77329b6cd62d1ea79b31b2ce4ee805a29c6dca099957`
Upload date	Jul 3, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`