10.384
High-Throughput Platforms for Drug Discovery
Focuses on the fundamentals and applications of high-throughput systems for drug discovery. Formally introduces concepts in scalable platforms to identify molecules with desired biological activity, including topics such as single-cell genomics, protein display, directed evolution, proteomics, structural analysis, and robotics. Considerations in large-scale data analysis, machine learning, and molecular design for enhanced drug discovery discussed. Explores the theory and fundamentals of drug discovery from a quantitative perspective. Students taking graduate version complete additional assignments.
Prerequisites & course information
Subject meets with 10.584 Prereq: 7.05 and 18.03 U (Fall) 3-0-9 units
Sources
- Course catalogue ↗2026–2027