G. M. Ginell

This study identifies a mechanism by which tardigrade CAHS D proteins form gels to protect cells during desiccation, showing that gelation reduces molecular motion and metabolic activity, with reversible effects.

This paper develops ALBATROSS, a deep learning model that predicts ensemble conformational properties of intrinsically disordered proteins from sequence, enabling proteome-wide analysis.

The paper introduces the analytical Flory Random Coil (AFRC) model as a reference for unfolded proteins, enabling comparison of experimental and simulation data.

The paper identifies a common toxic mechanism in positively charged peptides across species and develops a machine learning tool to detect it.