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 0.3.6
File	Size	Uploaded
pyCapsid-0.3.6.tar.gz	59.2 MB	Jun 28, 2023	Details

Table of built distributions (wheels) for pyCapsid 0.3.6
File	Interpreter	ABI	Platform	Reset
pyCapsid-0.3.6-py3-none-any.whl 28.2 kB Jun 28, 2023	Python 3	none	any	Details

Total release size: 59.3 MB

Download URL	pyCapsid-0.3.6.tar.gz
Size	59.2 MB
Tags	Source
SHA-256 checksum How to use checksums	`ee603487bdfa170956936ddb0f9d9852a565c3cf2acd3766c25293ab99639c6d`
BLAKE2b-256 checksum How to use checksums	`45a2059c394a0a66aa8a58dcd5410a7fcc7e38dc0b7eba0336dc498cc773bb3a`
Upload date	Jun 28, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`

Download URL	pyCapsid-0.3.6-py3-none-any.whl
Size	28.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`734b400abe928ef5251e575a485dea644bc4b6c59e17bbd9fe415c4dd8717807`
BLAKE2b-256 checksum How to use checksums	`b73e6175867c703af84ef85c204a2d40f34325507ef06fcb479f98d1328e54da`
Upload date	Jun 28, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`