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Genheden2020 - AiZynthFinder- a fast robust and flexible open-source software for retrosynthetic planning.pdf (654.41 kB)

AiZynthFinder: A Fast Robust and Flexible Open-Source Software for Retrosynthetic Planning

preprint
submitted on 11.06.2020, 14:12 and posted on 15.06.2020, 06:36 by Samuel Genheden, Amol Thakkar, Veronika Chadimova, Jean-Louis Reymond, Ola Engkvist, Esben Jannik Bjerrum
We present the open-source AiZynthFinder software that can be readily used in retrosynthetic planning. The algorithm is based on a Monte Carlo tree search that recursively breaks down a molecule to purchasable precursors. The tree search is guided by an artificial neural network policy that suggests possible precursors by utilizing a library of known reaction templates. The software is fast and can typically find a solution in less than 10 seconds and perform a complete search in less than 1 minute. Moreover, the writing of the code was guided by a range of software engineering principles such as automatic testing, system design and continuous integration leading to robust software. The object-oriented design makes the software very flexible and can straightforwardly be extended to support a range of new features. Finally, the software is clearly documented and should be easy to get started with. The software is available at http://www.github.com/MolecularAI/aizynthfinder.

Funding

the Marie Skłodowska-Curie grant agreement no. 676434, “Big Data in Chemistry” (“BIGCHEM,” http://bigchem.eu)

History

Email Address of Submitting Author

esben.bjerrum@astrazeneca.com

Institution

AstraZeneca

Country

Sweden

ORCID For Submitting Author

0000-0003-1614-7376

Declaration of Conflict of Interest

None

Version Notes

Version number 1

Exports