COBB 2030 - COMPUTATIONAL STRUCTURAL BIOLOGY

Minimum Credits: 4
Maximum Credits: 4
Topics covered include: applying computational and statistical methods to the analysis of DNA and protein structures representing protein, DNA and RNA structure; homology modeling and protein structure prediction; theoretical description of basic interactions, along with computational methods to estimate them; statistical mechanical theory of molecules; molecular dynamics and other sampling methods; modeling protein flexibility, from side chains to loops to slow modes; reaction paths and basics of path sampling; protein-protein and protein-small molecule docking; supramolecular assembly; introduction to Quantitative Structure Activity Relationship (QSAR) in drug design.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade

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