Explores the importance of protein-ligand interactions, focusing on binding affinities and energetic landscapes, with implications for drug development and specificity.
Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
Explores protein structure determination using NMR and Cryo-EM techniques, covering chemical shifts, isotope labeling, NOE, and high-resolution imaging methods.
Explores predicting protein structure from sequence data using maximum entropy modeling and discusses recent advancements in protein structure prediction.
Explores protein structure determination using X-ray crystallography and NMR spectroscopy, covering historical significance, crystal formation, diffraction patterns, and challenges in crystallization.
Explores predicting protein structure from sequence data and inferring interaction partners through Direct Coupling Analysis and the Iterative Pairing Algorithm.
