Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
Explores predicting protein structure from sequence data using maximum entropy modeling and discusses recent advancements in protein structure prediction.
Explores the basics and structures of G protein-coupled receptors, covering signaling schemes, structures, historical background, drug targeting, and recent advancements.
