Nikola G. Malinov

An integrated identifiability and metabolic flux analysis workflow for reducing and repairing dynamic CHO metabolic models

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.

Late-Stage Large Extracellular Vesicles Reprogram CHO Cell Metabolism in a Glutamine-Dependent Mode and Promote Antibody-Productivity to Cell-Growth Tradeoff

This study shows that late-stage large extracellular vesicles (LgEVs) from CHO cells reduce growth but increase antibody productivity, with glutamine modulating these effects through metabolic and miRNA mechanisms.

Pseudo perfusion of Chinese Hamster Ovary (CHO) cells as a reliable platform for data generation to model and guide continuous perfusion biomanufacturing

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.

A dynamic metabolic flux analysis (DMFA) model for performance predictions of diverse CHO cell culture process modes and conditions

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