Diana Széliová

Growth costs of protein allocation in models of growing cells

The paper models growth costs of suboptimal protein allocation in microbial cells using growth balance analysis, showing how protein levels affect growth rates and fitness.

Elementary vectors reveal minimal interactions in microbial communities

This paper introduces a geometric framework to analyze microbial community interactions by computing elementary composition/exchange fluxes (ECXs) that represent distinct ecological interaction types.

The geometry of cooperation: decoding microbial interactions

The paper introduces a geometric framework to analyze microbial community metabolism, linking interaction types to the structure of metabolic spaces and identifying isotypic and anisotypic mutualism.

Improving HEK293-based AAV-production using GSMMs, and a multi-omics approach

This study uses multi-omics analysis and GSMMs to identify metabolic bottlenecks in HEK293 cell AAV production, revealing HIF1alpha's role in pseudohypoxia and its impact on viral yield.

Logistic PCA explains differences between genome-scalemetabolic models in terms of metabolic pathways

The paper introduces logistic PCA (LPCA) to compare genome-scale metabolic models by identifying mechanistic differences in metabolic pathways across diverse datasets.

Does ribosome composition maximize growth rate? The role of RNA instability

The paper develops a mechanistic model to examine how ribosome composition affects growth rate, finding that RNA instability and protein protection influence optimal ribosome composition.

Elementary vectors and autocatalytic sets for computational models of cellular growth

This paper introduces elementary growth modes and vectors for next-generation metabolic models, providing an unbiased understanding of cellular growth and resource allocation without relying on fixed biomass composition.

Inclusion of maintenance energy improves the intracellular flux predictions of CHO

This study improves intracellular flux predictions in CHO cells by incorporating maintenance energy, enhancing accuracy for TCA cycle fluxes.

Error propagation in constraint-based modeling of Chinese hamster ovary cells

This study examines how measurement errors and sampling frequency affect exchange rate accuracy and subsequent FBA predictions in CHO cells.