Robert I. Horne

The paper develops an in vitro tau aggregation assay combined with machine learning to identify polymorph-specific tau inhibitors, validated in a Drosophila model.

The paper uses a conditional diffusion model to design a small molecule inhibitor of secondary nucleation in alpha-synuclein aggregation, showing it effectively inhibits fibril proliferation.

This study reveals that lipids promote α-synuclein aggregation by enabling elongation, using a kinetic model to describe the co-aggregation process in vitro.

This paper introduces Ligand-Transformer, a deep learning framework for predicting protein-ligand interactions, and demonstrates its application in identifying inhibitors for specific targets and studying disordered proteins.

This paper introduces a single-molecule method using solid-state nanopores and DNA barcoding to detect and characterize misfolded protein oligomers, demonstrating its application to α-synuclein in Parkinson's disease.