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 0.1.4
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-0.1.4.tar.gz | 24.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyCapsid-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.4 MB
Release files / pyCapsid-0.1.4.tar.gz
| Download URL | pyCapsid-0.1.4.tar.gz |
|---|---|
| Size | 24.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c1863674a1d69e3b58725752cf3dd4890d0c9c9cec1a3f9721bee54d481302e3
|
|
BLAKE2b-256 checksum How to use checksums |
03b2cf26e63121d27b5414d9ac6c254ecfdcd7886ee8025a4c413378020a05fb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / pyCapsid-0.1.4-py3-none-any.whl
| Download URL | pyCapsid-0.1.4-py3-none-any.whl |
|---|---|
| Size | 23.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fc527d88e9aba47d30123e0622f967ba8f5357064d59598986955ba4adc20ec7
|
|
BLAKE2b-256 checksum How to use checksums |
bccafa9aab1f37e6eb9c6090f41f0364038e4792395240571ec48c382cd346dc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
