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Extended Connectivity Fingerprints as a Chemical Reaction Representation for Enantioselective Organophosphorus-Catalyzed Asymmetric Reaction Prediction

[Image: see text] Predicting the outcomes of organic reactions using data-driven approaches aids in the acceleration of research. In laboratory-scale experiments, only a small number of reaction data can be accessed for machine learning model construction, where reaction representations play a pivot...

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Detalles Bibliográficos
Autores principales: Asahara, Ryosuke, Miyao, Tomoyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352214/
https://www.ncbi.nlm.nih.gov/pubmed/35936487
http://dx.doi.org/10.1021/acsomega.2c03812