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Published in 2023 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c01486
Abstract: We introduce the AiZynthTrain Python package for training synthesis models in a robust, reproducible, and extensible way. It contains two pipelines that create a template-based one-step retrosynthesis model and a RingBreaker model that can be…
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Keywords:
training synthesis;
aizynthtrain robust;
synthesis;
extensible pipelines ... See more keywords