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BibTex format

@article{Park:2024:10.1016/j.tibtech.2024.03.001,
author = {Park, S-Y and Choi, D-H and Song, J and Lakshmanan, M and Richelle, A and Yoon, S and Kontoravdi, C and Lewis, NE and Lee, D-Y},
doi = {10.1016/j.tibtech.2024.03.001},
journal = {Trends Biotechnol},
title = {Driving towards digital biomanufacturing by CHO genome-scale models.},
url = {http://dx.doi.org/10.1016/j.tibtech.2024.03.001},
year = {2024}
}

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TY  - JOUR
AB  - Genome-scale metabolic models (GEMs) of Chinese hamster ovary (CHO) cells are valuable for gaining mechanistic understanding of mammalian cell metabolism and cultures. We provide a comprehensive overview of past and present developments of CHO-GEMs and in silico methods within the flux balance analysis (FBA) framework, focusing on their practical utility in rational cell line development and bioprocess improvements. There are many opportunities for further augmenting the model coverage and establishing integrative models that account for different cellular processes and data for future applications. With supportive collaborative efforts by the research community, we envisage that CHO-GEMs will be crucial for the increasingly digitized and dynamically controlled bioprocessing pipelines, especially because they can be successfully deployed in conjunction with artificial intelligence (AI) and systems engineering algorithms.
AU  - Park,S-Y
AU  - Choi,D-H
AU  - Song,J
AU  - Lakshmanan,M
AU  - Richelle,A
AU  - Yoon,S
AU  - Kontoravdi,C
AU  - Lewis,NE
AU  - Lee,D-Y
DO  - 10.1016/j.tibtech.2024.03.001
PY  - 2024///
TI  - Driving towards digital biomanufacturing by CHO genome-scale models.
T2  - Trends Biotechnol
UR  - http://dx.doi.org/10.1016/j.tibtech.2024.03.001
UR  - https://www.ncbi.nlm.nih.gov/pubmed/38548556
ER  -

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Professor Cleo Kontoravdi

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