Imperial College London
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Professor Cleo Kontoravdi

Faculty of Engineering, Department of Chemical Engineering

Professor of Biological Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6655cleo.kontoravdi98 Website

 
 
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Location

 

310ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kontoravdi:2018:10.1016/j.coche.2018.08.007,
author = {Kontoravdi, K and Jimenez, Del Val I},
doi = {10.1016/j.coche.2018.08.007},
journal = {Current Opinion in Chemical Engineering},
pages = {89--97},
title = {Computational tools for predicting and controlling the glycosylation of biopharmaceuticals},
url = {http://dx.doi.org/10.1016/j.coche.2018.08.007},
volume = {22},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Glycosylation is a critical quality attribute of biopharmaceuticals because it is a major source of structural variability that influences the in vivo safety and therapeutic efficacy of these products. Manufacturing process conditions are known to influence the monosaccharide composition and relative abundance of the complex carbohydrates bound to therapeutic proteins. Multiple computational tools have been developed to describe these process/product quality relationships in order to control and optimise the glycosylation of biopharmaceuticals. This review will provide a summary highlighting the strengths and weaknesses of each modelling strategy in their application towards cellular glycoengineering or bioprocess design and control. To conclude, potential unified glycosylation modelling approaches for biopharmaceutical quality assurance are proposed.
AU  - Kontoravdi,K
AU  - Jimenez,Del Val I
DO  - 10.1016/j.coche.2018.08.007
EP  - 97
PY  - 2018///
SN  - 2211-3398
SP  - 89
TI  - Computational tools for predicting and controlling the glycosylation of biopharmaceuticals
T2  - Current Opinion in Chemical Engineering
UR  - http://dx.doi.org/10.1016/j.coche.2018.08.007
UR  - http://hdl.handle.net/10044/1/63978
VL  - 22
ER  -
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