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Wednesday, May 19, 2010
3:00 PM - 4:30 PM
CNLS Conference Room (TA-3, Bldg 1690)

Seminar

Statistical Inference for Dynamical Structural Biology

Peter Doerschuk
Cornell University

Understanding macromolecular complexes such as viruses and ribosomes as nano-scale machines is an important goal of structural biology. The emphasis on machines implies an emphasis on temporal dynamics. Cryo electron microscopy is an important methodology for studying such complexes, especially in the case where crystals are not available, and the resulting images have low signal to noise ratios. Therefore, variability in the data can be attributed to multiple sources, dynamics or noise. A statistical inference approach which attempts to separate dynamics from noise and provide a mechanical model of the complex will be described and the first steps toward numerical results will be presented.

Host: Frank Alexander