Today's biomanufacturing processes are still operated based on experience, and thus can
hardly cope with increasing bioprocess complexity. Recently, there is a growing interest in …

With omics data being generated at an unprecedented rate, genome-scale modelling has
become pivotal in its organisation and analysis. However, machine learning methods have …

Genome-scale metabolic models of microorganisms are powerful frameworks to predict
phenotypes from an organism's genotype. While manual reconstructions are laborious …

In-process quality control of biotherapeutics, such as monoclonal antibodies, requires
computationally efficient process models that use readily measured process variables to …

Chinese hamster ovary (CHO) cells are most prevalently used for producing recombinant
therapeutics in biomanufacturing. Recently, more rational and systems approaches have …

Metabolic modeling has emerged as a key tool for the characterization of biopharmaceutical
cell culture processes. Metabolic models have also been instrumental in identifying genetic …

Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …

Rising demands for biopharmaceuticals and the need to reduce manufacturing costs
increase the pressure to develop productive and efficient bioprocesses. Among others, a …

Omics data can be integrated into a reference model using various model extraction
methods (MEMs) to yield context-specific genome-scale metabolic models (GEMs). How to …

Dynamic flux analysis methods have been widely used for deciphering complex metabolic
fluxes transients. However, many of them require frequent experimental measurements and …