SCIENCE AT THE EDGE SEMINAR http://www.pa.msu.edu/seminars/edge/ 11:30 A.M., Friday, September 27, 2002 Room 1400 Biomedical and Physical Sciences Building Refreshments served at 11:15 Title: Comparative Protein Structure Modeling of Genes and Genomes Speaker: Andrej Sali Laboratory of Molecular Biophysics The Rockefeller University, New York, NY Abstract: Structural genomics aims to determine or accurately predict 3D structure of most proteins (1). This aim will be achieved by a focused, large-scale determination of protein structures by X-ray crystallography and NMR spectroscopy, combined efficiently with accurate protein structure prediction (2). Comparative protein structure modeling will be discussed in this context. To allow large-scale modeling, we automated fold assignment, sequence-structure alignment, comparative model building, and model evaluation (3). These steps were implemented mostly in our MODELLER package, which is available on the web at http://guitar.rockefeller.edu/. The modeling pipeline has been applied to all of the approximately 750,000 protein sequences in the TrEMBL database, resulting in models for segments of approximately 430,000 proteins. These models are stored in the MODBASE database (4), accessible over the web at http://guitar.rockefeller.edu/modbase. Several examples of how comparative modeling can be useful in the biological analysis of individual proteins as well as whole genomes will be described. References: R. Sanchez, U. Pieper, F. Melo, N. Eswar, M.A. Marti-Renom, M.S. Madhusudhan, N. Mirkovic, and A. Sali. Protein structure modeling for structural genomics. Nat. Struct. Biol. 7, 986-990, 2000. D. Baker, A. Sali. Protein structure prediction and structural genomics. Science 294, 93-96, 2001. R. Sanchez and A. Sali. Large-scale protein structure modeling of the Saccharomyces cerevisiae genome. Proc. Natl. Acad. Sci. USA 95, 13597-13602, 1998. U. Pieper, N. Eswar, A.C. Stuart, V.A. Ilyin, A. Sali. MODBASE, a database of annotated comparative protein structure models. Nucleic Acids Research 30, 255-259, 2002.