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# argenomic | ||
# Argenomic | ||
Argenomic is an open-source implementation of an illumination algorithm for optimization of small organic molecules. | ||
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### Installing | ||
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Download the source code from Github to your local machine and create the environment from the environment.yml file: | ||
``` | ||
conda env create -f environment.yml | ||
``` | ||
Activate the new environment: | ||
``` | ||
conda activate argenomic-stable | ||
``` | ||
Verify that the new environment was installed correctly: | ||
``` | ||
conda env list | ||
``` | ||
## Authors | ||
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* **Jonas Verhellen** - *Concept, implementation, and development* | ||
* **Jeriek Van den Abeele** - *implementation, and development* | ||
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## Copyright License | ||
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This project is licensed under the GNU General Public License v3 (GPLv3)". | ||
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## Acknowledgments | ||
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* Jan Jensen for his work in developing and open-sourcing a graph-based genetic algorithm for molecular optimisation, which served as impetus for this project. | ||
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* Jean-Baptiste Mouret and Jeff Clune for their breakthrough invention of illumination algorithms, providing a holistic view of high-performing solutions throughout a search space. | ||
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* Pat Walters for his scripts indicating how to run structural alerts using the RDKit and ChEMBL, and for his many enlightening medicinal chemistry blog posts. |