Antibody glycan quality predicted from CHO cell culture media markers and machine learning-Reference-Cited by-同舟云学术

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Antibody glycan quality predicted from CHO cell culture media markers and machine learning

Published:2024-12 Issue: Volume:23 Page:2497-2506
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Lakshmanan Meiyappan,Chia Sean,Pang Kuin Tian,Sim Lyn Chiin,Teo Gavin,Mak Shi Ya,Chen Shuwen,Lim Hsueh Lee,Lee Alison P.,Bin Mahfut Farouq,Ng Say Kong,Yang Yuansheng,Soh Annie,Tan Andy Hee-Meng,Choo Andre,Ho Ying Swan,Nguyen-Khuong Terry,Walsh Ian

Funder

National Medical Research Council

Ministry of Health -Singapore

Agency for Science, Technology and Research

Publisher

Elsevier BV

Reference46 articles.

1. Challenges of glycosylation analysis and control: an integrated approach to producing optimal and consistent therapeutic drugs;Zhang;Drug Discov Today,2016

2. The history of IgG glycosylation and where we are now;Cobb;Glycobiology,2020

3. Amino acid and glucose metabolism in fed‐batch CHO cell culture affects antibody production and glycosylation;Fan;Biotechnol Bioeng,2015

4. Development of a simple and rapid method for producing non‐fucosylated oligomannose containing antibodies with increased effector function;Zhou;Biotechnol Bioeng,2008

5. Evaluating the impact of cell culture process parameters on monoclonal antibody N-glycosylation;Ivarsson;J Biotechnol,2014

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