Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
Explores protein aggregation in neurodegenerative diseases, emphasizing the need to rethink treatment strategies and understand the role of post-translational modifications.
Explores the evolution and function of protein-repair machineries, emphasizing the role of ATP-fueled unfolding machines in preventing protein aggregation and promoting proper folding.
Delves into protein aggregation mechanisms using C. elegans, covering misfolding, aggregation pathways, kinetics, chaperones, and stochastic nucleation.
