Explores predicting protein structure from sequence data using maximum entropy modeling and discusses recent advancements in protein structure prediction.
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.
