Willy Wriggers
Dept. of Chemistry and Biochemistry; Dept. of Cell Biology
UCSD; The Scripps Research Institute
Unknown Location

Monday, June 7, 1999
3:00 pm (CT)
3269 Beckman Institute

Abstract

Information processing techniques such as artificial neural networks and vector quantization can be used as instruments for combining biological data from x-ray crystallography and electron microscopy (EM) or small- angle x-ray scattering (SAXS). Using data of cytoskeletal filaments and ribosomal proteins at various levels of resolution, it will be demonstrated how these methods can aid the researcher in (i) rigid-body docking of single molecule data, (ii) construction of protein aggregates from their subunits at near-atomic resolution, and (iii) modeling of induced-fit deviations from the crystallographic conformation. A set of visualization and analysis procedures, termed the Situs package, has been developed to provide an efficient and robust method for the localization of protein subunits in low-resolution data from EM and SAXS. This package is freely available at URL http://chemcca10.ucsd.edu/~situs.

Tea and coffee will be served in R3151 Beckman Institute at 2:15pm.