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Institute for
Cancer Reserach |
The Dunbrack
group concentrates on research in computational structural biology, including
homology modeling, fold recognition, molecular dynamics simulations, statistical
analysis of the PDB, and bioinformatics. In developing these methods,
we use methods from various areas of mathematics and computer science,
including Bayesian statistics and computational geometry. We place an
emphasis on large-scale benchmarking of new methods and comparison with
existing methods. We are interested in applying comparative modeling to
important problems in various areas of biology. Areas of particular interest
include DNA repair, proteases and other peptide-binding protein families,
and membrane proteins.
Selected Publications: Canutescu, A. A., Shelenkov,
A. A., Dunbrack, R. L., Jr. (2003) A graph-theory algorithm for rapid
protein side-chain prediction. Protein Sci. 12:2001-2014. |
