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NPJ Systems Biology and Applications|April 8, 2026
Systematic data-driven genome-scale metabolic model reduction for bioprocess modeling: CHO culture case studyAthanasios Antonakoudis, Anne Richelle
Computational and Structural Biotechnology Journal|May 6, 2026
A Hybrid Modeling Framework for Predictive Digital Twins of CHO Cell CultureAnne Richelle, David Andersson, Athanasios Antonakoudis, et al.
Computational and Structural Biotechnology Journal|November 26, 2020
The era of big data: Genome-scale modelling meets machine learningAthanasios Antonakoudis, Rodrigo Barbosa, Pavlos Kotidis, et al.
Biotechnology and Bioengineering|March 3, 2023
How reliable are Chinese hamster ovary (CHO) cell genome-scale metabolic models?Benjamin Strain, James Morrissey, Athanasios Antonakoudis, et al.
Computational and Structural Biotechnology Journal|March 7, 2023
Genome-scale models as a vehicle for knowledge transfer from microbial to mammalian cell systemsBenjamin Strain, James Morrissey, Athanasios Antonakoudis, et al.
Cell Systems|December 11, 2025
A reconstruction of the mammalian secretory pathway identifies mechanisms regulating antibody productionHelen Masson, Jasmine Tat, Pablo Di Giusto, et al.
Current Opinion in Systems Biology|November 7, 2017
Improvements in protein production in mammalian cells from targeted metabolic engineeringAnne Richelle, Nathan E Lewis
Plos Computational Biology|July 20, 2019
Assessing key decisions for transcriptomic data integration in biochemical networksAnne Richelle, Chintan Joshi, Nathan E Lewis
Bioprocess and Biosystems Engineering|March 26, 2025
Hybrid dynamic flux balance modeling approach for bioprocesses: an E. coli case studyZahra Negahban, Valerie Ward, Anne Richelle, et al.
Bioprocess and Biosystems Engineering|July 13, 2026
Overcoming the limits of traditional rate calculations from sparse concentration data: a probabilistic framework for bioprocess modelingAnne Richelle, David Andersson, Anton Vernersson, et al.
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