Explores the impact of machine learning in understanding human diseases, focusing on historical significance, natural products discovery, and challenges in designer drugs.
Covers proteomic applications in neuroscience, focusing on targeted analysis of cortical neurons and their developmental interactions with striatal neurons.
Covers techniques for mapping protein-protein interactions, including affinity purification, proximity labeling, and co-fractionation, emphasizing their applications in neuroscience.
