Covers techniques for mapping protein-protein interactions, including affinity purification, proximity labeling, and co-fractionation, emphasizing their applications in neuroscience.
Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
Covers proteomics techniques and their applications in neuroscience, focusing on mass spectrometry and the challenges of studying proteins in cellular functions.
Explores the importance and complexity of protein-protein interaction networks, experimental approaches, virus-host interactions, and network construction.
Explores the importance of protein-ligand interactions, focusing on binding affinities and energetic landscapes, with implications for drug development and specificity.
