Enzeptional stand-alone python package.
Project description
Enzyme Optimization of Biocatalytic Reactions
This repository provides an example on how ro run the framework for the optimization of enzymes within the context of biocatalytic reactions.
Development setup & installation
Create any virtual or conda environment compatible with the specs in setup.cfg. Then run:
pip install -e ".[dev]"
Running the example
To run the example simply type:
python example_enzeptional.py
References
If you use Enzeptional
in your projects, please consider citing the following:
@inproceedings{teukam2023enzyme,
title={Enzyme optimization via a generative language modeling-based evolutionary algorithm},
author={Teukam, Yves Gaetan Nana and Grisoni, Francesca and Manica, Matteo and Zipoli, Federico and Laino, Teodoro},
booktitle={American Chemical Society (ACS) Spring Meeting},
year={2023}
}
License
The Enzeptional
codebase is under MIT license.
For individual model usage, please refer to the model licenses found in the original packages.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
enzeptional-1.0.0.tar.gz
(572.0 kB
view details)
Built Distribution
enzeptional-1.0.0-py3-none-any.whl
(580.9 kB
view details)
File details
Details for the file enzeptional-1.0.0.tar.gz
.
File metadata
- Download URL: enzeptional-1.0.0.tar.gz
- Upload date:
- Size: 572.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5f51b9ca45b99bf12289f77077bee3a197a465c59d18b358a7bbc0ea808db1b3 |
|
MD5 | 115a4317bd8453f5e8d989744ef7fd5b |
|
BLAKE2b-256 | 2e78ace72340cb8cbd332c220a0ffd7f0b18d77941186284514507c3153a038c |
File details
Details for the file enzeptional-1.0.0-py3-none-any.whl
.
File metadata
- Download URL: enzeptional-1.0.0-py3-none-any.whl
- Upload date:
- Size: 580.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7f76e50f71d89438261ddc8391e326e5800448dd7e260715691ce202f3707868 |
|
MD5 | cba5cbd53a7da962e06b148f09688c37 |
|
BLAKE2b-256 | c07d90443fc756f2b98e58bd0fc2a37cf07ae1be7594f5176cda4e61f296e12f |