Samuela Pasquali

ARNy Plotter provides a web-based platform for analyzing and visualizing RNA structural ensembles, offering tools for dynamic analysis and result sharing.

This paper reviews computational strategies for exploring RNA conformational ensembles, focusing on energy landscape-based approaches and atomistic simulations, and discusses challenges and future directions.

This paper introduces Statistical Molecular Interaction Fields (SMIF) to characterize RNA and protein binding pockets, showing they are fast, informative, and compatible with pharmacophoric models.

This study uses integrative modeling to predict the structure of the PAR1-TRAP6 complex, revealing a novel T-shaped pi-stacking interaction.