New: BioAssemblyModeler (BAM) Software for Homology Modeling of Protein Oligomers and Complexes

PDBfam: Accurate and complete Pfam assignments for the PDB (Bioinformatics, 2012)

ProtCID: The Protein Common Interface Database (Nucl. Acids Research, Jan 2011)

Neighbor-dependent Ramachandran distributions (PLOS Comp. Biol., Apr 2010)

Conformation-dependent library for backbone geometry in proteins (Structure, Oct 2009)

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 modern methods of Bayesian statistics and extensive benchmarking. We are interested in applying comparative modeling to important problems in various areas of biology, especially in cancer research.