Functional and informatics analysis enables glycosyltransferase activity prediction

Metadata

Item Type:	Article
Authors/Creators:	Yang, Min Fehl, Charlie Lees, Karen V. Lim, Eng-Kiat (ekl100@york.ac.uk) Offen, Wendy A https://orcid.org/0000-0002-2758-4531 Davies, Gideon J. https://orcid.org/0000-0002-7343-776X Bowles, Dianna J. (djb32@york.ac.uk) Davidson, Matthew G. Roberts, Stephen J. Davis, Benjamin G.
Copyright, Publisher and Additional Information:	© 2018 Springer Nature Limited. All rights reserved.This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Dates:	Published (online): 12 November 2018 Accepted: 20 September 2018
Institution:	The University of York
Academic Units:	The University of York > Faculty of Sciences (York) > Biology (York) > Centre for Novel Agricultural Products (CNAP) (York) The University of York > Faculty of Sciences (York) > Chemistry (York)
Depositing User:	Pure (York)
Date Deposited:	26 Nov 2018 16:40
Last Modified:	19 Mar 2025 00:08
Published Version:	https://doi.org/10.1038/s41589-018-0154-9
Status:	Published online
Refereed:	Yes
Identification Number:	10.1038/s41589-018-0154-9
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:139200

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