Antonella Di Pizio

The paper presents a dynamic pocketome analysis of TAAR receptors using simulations, revealing receptor-specific ligand-receptor interplay and plasticity in binding sites.

This study compares PIEZO1 behavior in detergent micelles and nanodiscs, showing that native lipid environments influence its mechanical responses and interactions.

This study identifies the molecular mechanism by which the plant immune receptor LORE binds and responds to 3-hydroxy fatty acid ligands through a dynamic loop in its G-type lectin domain.

The paper creates a molecular atlas of food odorants and uses a generative AI model to design aroma formulations that mimic meat-like aromas using plant-derived compounds.

The paper models the orthosteric binding site of the odorant receptor OR5K1 using AI-driven structural data and mutagenesis data to refine ligand binding modes.