resp_protein_toolkit
A toolkit designed to perform some common tasks in protein engineering, especially encoding protein sequences (in various formats), assisting in fitting uncertainty-aware models to data, and using a trained model to search for improved candidates using a simulated annealing "in silico" directed evolution algorithm from Parkinson et al. 2023 (Nature Communications).
Installation
To install this, run:
pip install resp_protein_toolkit
Numpy is a required dependency. PyTorch is not required but will be necessary to use the models contained in the package so is strongly recommended.
Usage
For usage and general guidelines, see the docs.
Citations
If using this toolkit in work intended for publication, please cite:
1 maintainer
Metadata
1 maintainer
Release files for resp-protein-toolkit 0.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| resp_protein_toolkit-0.2.3.tar.gz | 215.6 kB | Without provenance | Details for resp_protein_toolkit-0.2.3.tar.gz |
Built distributions (wheels)
Total release size: 6.0 MB
Release files / resp_protein_toolkit-0.2.3.tar.gz
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Release files / resp_protein_toolkit-0.2.3-cp312-abi3-win_amd64.whl
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Release files / resp_protein_toolkit-0.2.3-cp312-abi3-win32.whl
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