v1.0.0 – Code for "Designer artificial environments for membrane protein synthesis"

This release contains the complete code and data used for the analysis in the manuscript:

Designer artificial environments for membrane protein synthesis
Conary Meyer and Alessandra Arizzi, et al., Nature Communications, 2025 (DOI pending).

Contents:

• Python scripts for data processing, analysis, and figure generation
• Raw and processed datasets
• Environment setup via requirements.txt
• Jupyter notebooks for interactive exploration of results

How to Use:

1. Clone the repository
2. Create a virtual environment and install dependencies
3. Download the compressed data directory from https://zenodo.org/records/15086208
4. Unzip the directory and transfer all directories to the all_data directory in the cloned repository
5. Open the notebooks or run the scripts as needed.

License:

This release is made available under the MIT License.
If you use this code or data, please cite the associated publication (see README.md for full citation).

For any questions or issues, please open an issue on GitHub or contact the author.

---