English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Predicting glycosylation stereoselectivity using machine learning

MPS-Authors
/persons/resource/persons225482

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

/persons/resource/persons209016

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

/persons/resource/persons121849

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

/persons/resource/persons127138

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

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Article.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Moon, S.-Y., Chatterjee, S., Seeberger, P. H., & Gilmore, K. (2020). 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
Abstract
There is no abstract available