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Spring, 2013
Time: 10:05 - 11:20 pm Monday and Wednesday
Professor: Bruce Randall Donald www.cs.duke.edu/donaldlab/Teaching/asmb13/
This course is cross-listed as CBB 663. |
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Overview
Introduction to algorithmic and computational issues in structural
molecular biology and molecular biophysics. Emphasizes geometric
algorithms, provable approximation algorithms, computational
biophysics, molecular interactions, computational structural biology,
proteomics, rational drug design, and protein design. Explores
computational methods for discovering new pharmaceuticals, NMR and
X-ray data, and protein-ligand docking.
This course focuses on 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, structural immunology, and structure-based
drug design. Students should have (or be willing to learn) a
grasp of basic structural biochemistry and have a familiarity
with algorithms. However, 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. It is helpful to have a basic knowledge of
algorithm design, or probability and statistics, or molecular
biology, and computer programming. Graduate and undergraduate
students are welcome.
There will be lectures by the instructor. In addition,
students will do a project, will present research papers from the
literature, and also write and edit notes on these papers.
The Textbook for this class is: Algorithms in Structural Molecular Biology (MIT Press, 2011), also available on Amazon.
Molecular Visualization Software for this class