Lilia Alberghina

This study uses a computational framework to analyze non-canonical TCA cycle activity in cancer cell lines, linking it to Warburg metabolism and cancer hallmarks.

The paper develops a multiscale computational model integrating metabolism, growth, and cell cycle in yeast to predict that fermentation modulates cell size under different growth conditions.

INTEGRATE integrates metabolomics and transcriptomics data to identify metabolic flux regulation at the enzyme expression and metabolic levels in cancer cell lines.

The paper models the ROS regulatory network to show how its dysfunction contributes to age-related diseases like Parkinson's and suggests potential therapeutic interventions.

This paper integrates single-cell RNA-seq data into metabolic models to characterize tumour cell populations and identifies metabolic heterogeneity and interactions.