Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
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 the energetic principles of molecular interactions in biomolecules, focusing on noncovalent interactions and the 3D structure of nucleic acids.
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
