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Curr Opin Biotechnol. 2014 Dec;30:218-24. doi: 10.1016/j.copbio.2014.08.004. Epub 2014 Sep 7.

Systems glycobiology for glycoengineering.

Author information

1
Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, United States.
2
Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, United States. Electronic address: n4lewis@ucsd.edu.

Abstract

Glycosylation serves essential functions on many proteins produced in biopharmaceutical manufacturing, making it mandatory to thoroughly consider its biogenesis during the production process. Glycoengineering efforts involve the rational design of glycosylation through adjustments in culturing conditions or genetic modifications. Computational models have been developed to aid this process, aiming to offer cheaper and faster alternatives to costly screening strategies. Recently, these models have been successfully utilized to predict glycosylation of products of industrial relevance. Furthermore, systems-level analyses of glycan diversity are elucidating deeper insights into the mechanisms underlying glycosylation. As computational models of glycosylation continue to be expanded, refined, and leveraged for detailed analysis of glycomics data, they will become invaluable resources for cell line development and glycoengineering.

PMID:
25202878
DOI:
10.1016/j.copbio.2014.08.004
[Indexed for MEDLINE]

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