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.
Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
Explores proteinopathy mapping, connecting proteotoxicity to intrinsic functions of aggregation-prone proteins, with a focus on alpha-synuclein and Parkinson's Disease.
Explores the molecular chaperone action of small heat shock proteins in proteostasis, focusing on their interaction with misfolded proteins and amyloid fibrils.
Explores predicting protein structure from sequence data and inferring interaction partners through Direct Coupling Analysis and the Iterative Pairing Algorithm.
Delves into protein folding principles, emphasizing sequence's role in determining structure and exploring thermodynamics and intermolecular interactions.
