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 0.1.5
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-0.1.5.tar.gz | 24.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyCapsid-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.4 MB
Release files / pyCapsid-0.1.5.tar.gz
| Download URL | pyCapsid-0.1.5.tar.gz |
|---|---|
| Size | 24.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
28f56faf1840a354f9926e46b2cc9a398a4539e915c5beef96cf1d8b3a60455c
|
|
BLAKE2b-256 checksum How to use checksums |
f1e84ab84d05fc19fe039197f35cf3ad4003a3941f509cd90da543895f69e9a3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / pyCapsid-0.1.5-py3-none-any.whl
| Download URL | pyCapsid-0.1.5-py3-none-any.whl |
|---|---|
| Size | 23.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
903de7e3aff72e618b84c10f1c5aaf0945076d44f96121ff163f7b7ce683f4ed
|
|
BLAKE2b-256 checksum How to use checksums |
08adb238c12d94330030d27ed9bc2c01d0511855a96ca11cca3d0ae8190e75d0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
