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Department of Chemical Engineering
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Model-based optimization of antibody galactosylation in CHO cell culture.
Biotechnology and bioengineering 07, 2019 | Pubmed ID: 30802295
Harnessing the potential of artificial neural networks for predicting protein glycosylation.
Metabolic engineering communications Jun, 2020 | Pubmed ID: 32489858
The era of big data: Genome-scale modelling meets machine learning.
Computational and structural biotechnology journal , 2020 | Pubmed ID: 33240470
Osmolality Effects on CHO Cell Growth, Cell Volume, Antibody Productivity and Glycosylation.
International journal of molecular sciences Mar, 2021 | Pubmed ID: 33804825
An experimental approach probing the conformational transitions and energy landscape of antibodies: a glimmer of hope for reviving lost therapeutic candidates using ionic liquid.
Chemical science Jul, 2021 | Pubmed ID: 34349928
Hitting the sweet spot with capillary electrophoresis: advances in N-glycomics and glycoproteomics.
Current opinion in biotechnology 10, 2021 | Pubmed ID: 34438131
Rapid Antibody Glycoengineering in CHO Cells Via RNA Interference and CGE-LIF N-Glycomics.
Methods in molecular biology (Clifton, N.J.) , 2022 | Pubmed ID: 34611868
Polymer Encapsulation of Bacterial Biosensors Enables Coculture with Mammalian Cells.
ACS synthetic biology 03, 2022 | Pubmed ID: 35245022
Imperial College London
GlaxoSmithKline Research and Development
Masue Marbiah*,1,2,
Pavlos Kotidis*,1,3,
Roberto Donini1,4,
Itzcóatl A. Gómez5,
Ioscani Jimenez del Val5,
Stuart M. Haslam4,
Karen M. Polizzi1,2,
Cleo Kontoravdi1
1Department of Chemical Engineering, Imperial College London,
2Imperial College Centre for Synthetic Biology, Imperial College London,
3BioPharm Process Research, GlaxoSmithKline Research and Development,
4Department of Life Science, Imperial College London,
5School of Chemical & Bioprocess Engineering, University College Dublin
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