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AiZynthFinder: a fast, robust and flexible open-source software for retrosynthetic planning.


ABSTRACT: 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 s and perform a complete search in less than 1 min. Moreover, the development 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 with high maintainability. Finally, the software is well documented to make it suitable for beginners. The software is available at http://www.github.com/MolecularAI/aizynthfinder .

SUBMITTER: Genheden S 

PROVIDER: S-EPMC7672904 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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AiZynthFinder: a fast, robust and flexible open-source software for retrosynthetic planning.

Genheden Samuel S   Thakkar Amol A   Chadimová Veronika V   Reymond Jean-Louis JL   Engkvist Ola O   Bjerrum Esben E  

Journal of cheminformatics 20201117 1


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 s and perform a complete search in less than 1 min. More  ...[more]

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