Valentina Cappelletti

This paper develops a method to quantitatively analyze the structural states of alpha-synuclein in vitro and in situ, revealing conformational changes in yeast and human neurons.

The paper introduces a framework to deconvolve LiP-MS signals and infer protein structural changes using data from three species.

The paper uses single-cell proteomics and perturbation experiments to improve drug sensitivity predictions in breast cancer and identify genomic features associated with treatment response.

The paper identifies a natural variant in fission yeast Pyk1 that reduces glycolytic flux, increases respiration, and enhances oxidative-stress resistance but decreases growth.