Athanasios Antonakoudis

The paper develops a hybrid modeling framework for predicting CHO cell culture digital twins by integrating ODE models, metabolic constraints, and machine learning trained on Bayesian-estimated metabolic rates.

The paper presents secRecon, a comprehensive secretory pathway reconstruction, and uses it to identify secretory differences in plasma cells and CHO cells, highlighting potential targets for improving secretion capacity.

The paper develops a metabolomics-driven framework to systematically reduce genome-scale metabolic models, validated on CHO cell cultures to improve dynamic bioprocess simulation.

The paper presents iCHO3K, a comprehensive metabolic model of Chinese Hamster cells, and uses it to analyze metabolic changes in lactate-free cells, identifying structural insights into metabolic rewiring.