Network analysis from a list of molecules
Run:
mol2net.py
or alternatively the two individual scripts:
python 1_2_mol2net.py # Creates networks from a list of molecules
python 3_netAna.py # Analyzes the network via networkX
either separately, or automatically via the bash script:
mol2net.sh
If you use this code for your work, please cite the corresponding paper
@article{ruf2022network,
author = {Ruf, Alexander and Danger, Grégoire},
title = {Network Analysis Reveals Spatial Clustering and Annotation of Complex Chemical Spaces: Application to Astrochemistry},
journal = {Analytical Chemistry},
volume = {94},
number = {41},
pages = {14135-14142},
year = {2022},
doi = {10.1021/acs.analchem.2c01271},
note ={PMID: 36209417},
URL = {https://doi.org/10.1021/acs.analchem.2c01271},
eprint = {https://doi.org/10.1021/acs.analchem.2c01271},
keywords={year2022,corresponding,first},
}
, and this github repository or the corresponding Zenodo DOI.
@software{rufalexan_2022_7025094,
author = {rufalexan},
title = {rufalexan/mol2net: v0.1.0},
month = aug,
year = 2022,
publisher = {Zenodo},
version = {v0.1.0},
doi = {10.5281/zenodo.7025094},
url = {https://doi.org/10.5281/zenodo.7025094}
}
This code is licensed under the MIT License.