Predicting glycosylation stereoselectivity using machine learning

Moon, Soo-Yeon; Chatterjee, Sourav; Seeberger, Peter H.; Gilmore, Kerry

doi:10.1039/D0SC06222G

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Predicting glycosylation stereoselectivity using machine learning

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Moon, Soo-Yeon
Kerry Gilmore, Biomolekulare Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

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Chatterjee, Sourav
Kerry Gilmore, Biomolekulare Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

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Seeberger, Peter H.
Peter H. Seeberger - Automated Systems, Biomolekulare Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

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Gilmore, Kerry
Kerry Gilmore, Biomolekulare Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

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Moon, S.-Y., Chatterjee, S., Seeberger, P. H., & Gilmore, K. (2021). Predicting glycosylation stereoselectivity using machine learning. Chemical Science, 12(8), 2931-2939. doi:10.1039/D0SC06222G.

Cite as: https://hdl.handle.net/21.11116/0000-0006-7746-6

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