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 < 3.11, we reccomend python 3.10. Via pip:
pip install pyCapsid
Via conda:
conda install -c colintravisbrown -c conda-forge pycapsid
Documentation
Documentation is provided on our github pages site: https://luquelab.github.io/pyCapsid/
Examples
An example notebook is provided in the notebooks folder. An accompanying tutorial is provided in the documentation.
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/)
3 maintainers
Metadata
3 maintainers
Release files for pyCapsid 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyCapsid-0.0.7.tar.gz | 2.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyCapsid-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.8 MB
Release files / pyCapsid-0.0.7.tar.gz
| Download URL | pyCapsid-0.0.7.tar.gz |
|---|---|
| Size | 2.8 MB |
| Tags | Source |
|
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No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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Release files / pyCapsid-0.0.7-py3-none-any.whl
| Download URL | pyCapsid-0.0.7-py3-none-any.whl |
|---|---|
| Size | 17.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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