Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
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 and inferring interaction partners through Direct Coupling Analysis and the Iterative Pairing Algorithm.
Explores the energetic principles of molecular interactions in biomolecules, focusing on noncovalent interactions and the 3D structure of nucleic acids.
