Marianthi Ierapetritou

The paper develops a workflow to reduce and repair dynamic metabolic models of CHO cells using identifiability analysis and metabolic flux analysis, improving prediction accuracy for specific growth rate and productivity.

This paper validates a pseudo perfusion platform for CHO cells to generate reliable metabolic data and guide continuous perfusion biomanufacturing, showing it predicts amino acid demands and maintains steady states.

The paper develops a DMFA model to predict CHO cell culture performance under various conditions and validates its predictions experimentally.

This study examines how bioreactor pH affects CHO cell metabolism and N-linked glycosylation of IgG antibodies using flux balance analysis and glycopeptide mapping.