Spring, 2009
Time: Monday 1:15 - 4:05pm
Professor: Bruce Randall Donald www.cs.duke.edu/donaldlab/Teaching/Topics09/
This course is cross listed as: |
Reminder: Project proposals are due on Thursday, February 12. More information is available on the Syllabus page.
Overview
This course focuses on topics in computational structural biology.
We will emphasize themes that unite algorithms, modelling, and
experimental results. Topics will include algorithms, modeling,
and experimental validation for several areas of biophysics
including NMR, protein design, x-ray crystallography, and
structure-based drug design. Students should have a good grasp of
basic structural biochemistry and a familiarity with algorithms,
although students with a strong background in One of these areas
may, with permission of the instructor, take the course if they
are prepared to do some extra reading.
In this seminar course students will present both recent and classic
papers from the literature, and also do a project.
You may wish to read about some related research in this area:
http://www.cs.duke.edu/donaldlab/research_bio.php
Acknowledgments: I'm grateful my course TA's, students, postdocs and all students in this class for helping with the course notes and slides. Some of the discussion of how to give talks and reports was borrowed, with thanks, from Greg Gangor's description of the reviews used in his class at CMU.