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 colintravisbrown -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 0.1.9
File	Size	Uploaded
pyCapsid-0.1.9.tar.gz	41.0 MB	Feb 23, 2023	Details

Table of built distributions (wheels) for pyCapsid 0.1.9
File	Interpreter	ABI	Platform	Reset
pyCapsid-0.1.9-py3-none-any.whl 24.1 kB Feb 23, 2023	Python 3	none	any	Details

Total release size: 41.0 MB

Download URL	pyCapsid-0.1.9.tar.gz
Size	41.0 MB
Tags	Source
SHA-256 checksum How to use checksums	`acdb23696b2fc1bf2b2e47b0e02709227591dfdfdff292eb23af6d1d7a82dea4`
BLAKE2b-256 checksum How to use checksums	`83332c119d17010d2cb241bed5d4ec5311c174b92a7dd1ac8c7da432c5462ae4`
Upload date	Feb 23, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.16`

Download URL	pyCapsid-0.1.9-py3-none-any.whl
Size	24.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`aa2bb0839f5f3b3a5943152d6f667d9bf8885884f84cd29ced39f4a0977363bc`
BLAKE2b-256 checksum How to use checksums	`3dec81eea25dc328b6b17c0d79bdccef97b531f19b2caefe31d854bc03623e26`
Upload date	Feb 23, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.16`