Vanni Doffini

This study investigates how environmental factors and mutations affect the stability and scalability of catch bond complexes between SdrG and fibrinogen beta chain using single-molecule and multi-valent adhesion assays.

The paper investigates how interval censoring affects data accuracy and machine learning performance in biological high-throughput screening and proposes a metric to optimize experimental parameters.

This paper introduces FUSION, a machine learning workflow for classifying and discovering protein unfolding trajectories from force spectroscopy data, achieving high accuracy and identifying new unfolding pathways.