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README.md

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# Argenomic
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Argenomic is an open-source implementation of an illumination algorithm for optimization of small organic molecules.
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## Getting Started
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To run the the argenomic software:
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To run the the argenomic software (rediscovery of Thiotixene):
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```
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python3 main.py configuration_file= ./configuration/config.json generations= 100
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python3 illuminate.py configuration_file=./configuration/config.yaml generations=50
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```
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### Installing
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```
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conda env list
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```
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## Authors
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* **Jonas Verhellen** - *Concept, implementation, and development*
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* **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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This project is licensed under the GNU General Public License v3 (GPLv3).
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## Dependencies
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Important dependencies of the Argenomic software environment and where to find the source.
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* [Python](https://www.python.org/) - Python is a widely used scientific and numeric programming language.
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* [RDKit](https://github.com/rdkit/rdkit) - Cheminformatics and machine-learning software toolkit.
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* [Scikit-learn](https://github.com/scikit-learn/scikit-learn) - Data science and deep learning toolset in Python.
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* [Omegaconf](https://github.com/omry/omegaconf) - Configuration system for multiple sources, providing a consistent API.
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## Acknowledgments
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