Advanced Topics in Computer Science: Machine Learning for Structural Biology

Recent breakthroughs in machine learning algorithms have transformed the study of the 3D structure of proteins and other biomolecules. This seminar class surveys recent papers on ML applied to tasks in protein structure prediction, structure determination, protein design, physics-based modeling, and more. We take a holistic approach when discussing papers, including discussing their historical context, algorithmic contributions, and potential impact on scientific discovery and applications such as drug discovery.