Explores proteinopathy mapping, connecting proteotoxicity to intrinsic functions of aggregation-prone proteins, with a focus on alpha-synuclein and Parkinson's Disease.
Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
Explores protein folding, amino acids, RNA translation, and attractive forces, emphasizing the importance of native state conformation and compact structures.
Delves into protein folding principles, emphasizing sequence's role in determining structure and exploring thermodynamics and intermolecular interactions.
Explores predicting protein structure from sequence data using maximum entropy modeling and discusses recent advancements in protein structure prediction.