You may clone this code repository (using the following command line) or just download this code repository with the ZIP format.

git clone https://github.com/HaolingZHANG/sequence-galaxy-illustration.git

To complete the data generation and visualization, please install the following dependencies using conda.

conda create -n cartography python=3.10 -y
conda activate cartography
conda install matplotlib==3.10.8 numpy==1.26.4 scikit-learn==1.7.2 shapely==2.1.2 -c conda-forge -y

For the sequence count statistics related to the protein sequence universe discussed in the manuscript, please run number.py.

For the constructed figures, run figure_1.py through figure_6.py.

Figure 3 was constructed using Microsoft PowerPoint; see figure_3.py for details.

The 3D structural elements in Figure 6a were generated from a pseudo-PDB file rendered in PyMOL. The procedure for generating this file is described in structure.py. The rendered output from this Python script was used as input for styling within PyMOL. Final image composition was completed in Adobe Illustrator.

The table data are presented without additional processing; they are provided as-is.

If you think the corresponding paper of this repository helps or being used in your research, please refer this work.

@article{zhang2026toward,
  title={Toward a formal cartography of protein function},
  author={Zhang, Haoling and Lehmann, Robert and Tegner, Jesper N.},
  journal={arXiv preprint arXiv:XXX},
  year={2026}
}