Modern sensor tools and techniques for monitoring, controlling, and improving cell culture processes

SJ Reyes, Y Durocher, PL Pham, O Henry - Processes, 2022 - mdpi.com
The growing biopharmaceutical industry has reached a level of maturity that allows for the
monitoring of numerous key variables for both process characterization and outcome …

Harnessing the potential of machine learning for advancing “quality by design” in biomanufacturing

I Walsh, M Myint, T Nguyen-Khuong, YS Ho, SK Ng… - MAbs, 2022 - Taylor & Francis
Ensuring consistent high yields and product quality are key challenges in biomanufacturing.
Even minor deviations in critical process parameters (CPPs) such as media and feed …

Genome-scale reconstructions of the mammalian secretory pathway predict metabolic costs and limitations of protein secretion

JM Gutierrez, A Feizi, S Li, TB Kallehauge… - Nature …, 2020 - nature.com
Abstract In mammalian cells,> 25% of synthesized proteins are exported through the
secretory pathway. The pathway complexity, however, obfuscates its impact on the secretion …

The emerging role of systems biology for engineering protein production in CHO cells

CC Kuo, AWT Chiang, I Shamie, M Samoudi… - Current Opinion in …, 2018 - Elsevier
Highlights•3 waves of innovation have enhanced protein production in CHO cells.•Systems-
level methods are now unravelling drivers of protein production.•Predictive models will …

Hybrid models based on machine learning and an increasing degree of process knowledge: application to cell culture processes

H Narayanan, M Luna, M Sokolov, A Butté… - Industrial & …, 2022 - ACS Publications
In this work, we aim to introduce the concept of the degree of hybridization for cell culture
process modeling. We propose that a family of hybrid models can be created with varying …

Hybrid deep modeling of a CHO-K1 fed-batch process: combining first-principles with deep neural networks

J Pinto, JRC Ramos, RS Costa, S Rossell… - … in Bioengineering and …, 2023 - frontiersin.org
Introduction: Hybrid modeling combining First-Principles with machine learning is becoming
a pivotal methodology for Biopharma 4.0 enactment. Chinese Hamster Ovary (CHO) cells …

Enzyme capacity-based genome scale modelling of CHO cells

HC Yeo, J Hong, M Lakshmanan, DY Lee - Metabolic Engineering, 2020 - Elsevier
Chinese hamster ovary (CHO) cells are most prevalently used for producing recombinant
therapeutics in biomanufacturing. Recently, more rational and systems approaches have …

On the use of surface plasmon resonance biosensing to understand IgG-FcγR interactions

C Forest-Nault, J Gaudreault, O Henry… - International Journal of …, 2021 - mdpi.com
Surface plasmon resonance (SPR)-based optical biosensors offer real-time and label-free
analysis of protein interactions, which has extensively contributed to the discovery and …

[HTML][HTML] Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities

TT Khuat, R Bassett, E Otte, A Grevis-James… - Computers & Chemical …, 2024 - Elsevier
While machine learning (ML) has made significant contributions to the biopharmaceutical
field, its applications are still in the early stages in terms of providing direct support for quality …

[HTML][HTML] Control of IgG glycosylation in CHO cell perfusion cultures by GReBA mathematical model supported by a novel targeted feed, TAFE

L Zhang, H Schwarz, M Wang, A Castan… - Metabolic …, 2021 - Elsevier
The N-linked glycosylation pattern is an important quality attribute of therapeutic
glycoproteins. It has been reported by our group and by others that different carbon sources …