James M. Ervasti

This paper introduces a physics-aware deep clustering method to identify heterogeneous folding domains in single-molecule force spectroscopy data, revealing distinct mechanical properties in natural proteins.

This study compares the mechanical properties of dystrophin and utrophin fragments using AFM, finding bacterial utrophin is less stiff than insect utrophin, while dystrophin is intermediate.

This study identifies brain regions and cell types contributing to SCA1 disease using conditional knockout mice, showing that targeting multiple areas and muscle is necessary for effective therapy.