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pyCapsid

Description

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

Installation

The package requires python >3.7 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

Documentation is provided on our github pages site: https://luquelab.github.io/pyCapsid/

Examples

We recommend using this Colab notebook as the simplest way to use pyCapsid. Example notebooks are provided in the notebooks folder. An accompanying tutorial is provided in the documentation.

Github Repository

The Github Repository of this project: https://github.com/luquelab/pyCapsid

Project History

This is an evolving repository Started: 2022-10-24

FILES & FOLDERS

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/)

Metadata

Release files for pyCapsid 0.5.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyCapsid 0.5.5
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pyCapsid-0.5.5.tar.gz 63.4 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyCapsid 0.5.5
File Interpreter ABI Platform
pyCapsid-0.5.5-py3-none-any.whl Python 3 none any Details

Total release size: 63.4 MB

Release files / pyCapsid-0.5.5.tar.gz

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Size 63.4 MB
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Release history Release notifications | RSS feed

0.6.1

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0.6.0

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0.5.9

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0.5.5 This release

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