Leopold Zehetner

The paper evaluates machine learning predictors of enzyme turnover numbers (kcat) by testing their impact on downstream metabolic models, finding that accuracy varies significantly and that validation must consider system-level effects.

The paper analyzes the microbiome of the endangered orchid Dactylorhiza traunsteineri, identifying key bacterial phyla and revealing metabolic potential in its rhizosphere.

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.

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.

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