Skip to main content

A set of computational tools written in python for the analysis of viral capsids

Project description




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


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 is provided on our github pages site:


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:

Project History

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 (

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyCapsid-0.5.9.tar.gz (99.0 MB view hashes)

Uploaded Source

Built Distribution

pyCapsid-0.5.9-py3-none-any.whl (41.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page