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ProteinShake provides one-liner imports of large scale, preprocessed protein structure datasets and tasks for various model types and frameworks.
We provide a collection of preprocessed and cleaned protein 3D structure datasets from RCSB and AlphaFoldDB, including annotations. Structures are easily converted to graphs, voxels, or point clouds and loaded natively into PyTorch, TensorFlow, NumPy, JAX, PyTorch Geometric, DGL and NetworkX. The task API enables standardized benchmarking on a variety of tasks on protein and residue level.
Find more information on the Website and the Documentation, or check out the Tutorials. The results of the paper and the baseline models can be found in the Evaluation Repository. If you would like to create your own release, see the Release Repository.
Installation:
pip install proteinshake
Code in this repository is licensed under BSD-3, the dataset files on Zenodo are licensed under CC-BY-4.0.
To build ProteinShake, we obtained and modified data from various sources. Please see the documentation of the respective dataset classes for a reference to the original data, license, and paper.
Release files for proteinshake 0.3.16
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| proteinshake-0.3.16.tar.gz | 48.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| proteinshake-0.3.16-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 118.6 kB
Release files / proteinshake-0.3.16.tar.gz
| Download URL | proteinshake-0.3.16.tar.gz |
|---|---|
| Size | 48.7 kB |
| Tags | Source |
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No |
| Uploaded via |
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Release files / proteinshake-0.3.16-py3-none-any.whl
| Download URL | proteinshake-0.3.16-py3-none-any.whl |
|---|---|
| Size | 69.9 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/6.1.0 CPython/3.12.9
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