Ana S.H. Costa

This paper introduces Pyxis, a machine learning tool for absolute metabolite quantification in metabolomics, demonstrating its scalability and efficiency compared to traditional methods.

COSMOS integrates multi-omics data with prior knowledge to generate mechanistic hypotheses about biological processes in renal cell carcinoma.

The paper shows yeast cells use temporal metabolic oscillations to coordinate protein synthesis with energy availability, storing resources and releasing them in bursts to maintain homeostasis.

The paper identifies phosphorylation sites in metabolic enzymes of FH-deficient cells using proteomics and computational modeling, showing PDHA1 inhibition due to increased phosphorylation.