Hyunil Jo

This study identifies features contributing to catalytic efficiency in a de novo enzyme through computational design and directed evolution, showing how stability and dynamics interplay in enzyme optimization.

This paper demonstrates that large language models can generate de novo protein sequences that bind specific ligands without copying existing sequences, with a 25% hit rate in experimental validation.

This study identifies distinct tau filament structures in FTLD-tau caused by the MAPT S305I mutation, revealing a unique 4-layer architecture and potential RNA-like polyanion binding.

The paper develops a method to determine sequence-dependent propensities for membrane protein insertion states using glycosylation patterns and UMAP analysis.

This paper shows IL-13 and IL-17A activate β1 integrins through an NF-κB/Rho kinase/PIP5K1γ pathway, enhancing force transmission in airway smooth muscle and linking this to asthma pathology.

This study identifies an active mechanical mechanism involving PDGFRA+ mesenchymal cells that pattern and fold intestinal villi through myosin II-dependent forces and matrix metalloproteinase-mediated tissue fluidization.

This paper designs drug-binding proteins with low nanomolar affinity and predictable specificity using computational methods, validated by experimental measurements and structural analysis.