Title :
Understanding dynamics of biological macromolecular complexes by estimating a mechanical model via statistical mechanics from cryo electron microscopy images
Author :
Wang, Kang ; Doerschuk, Peter C.
Author_Institution :
Dept. of Biomed. Eng., Cornell Univ., Ithaca, NY, USA
fDate :
March 30 2011-April 2 2011
Abstract :
Cryo electron microscopy (cryo EM) imaging experiments can lead to stochastic models for biological macromolecular complexes. However, interpreting the statistical variability is difficult. In some situations, the variability in the original complexes is due primarily to thermal fluctuations which are snap frozen in place during the preparation of the specimen. In this case the images are images of samples of the equilibrium statistical mechanics ensemble of the complex. Based on representing the complex by a spring-mass mechanical model, an estimation problem for determining the masses and spring constants is described and demonstrated on synthetic data. With a model, quantities such as normal modes can be computed, which provide insight into the dynamics of biological complexes.
Keywords :
biomechanics; biomedical optical imaging; electron microscopy; enzymes; molecular biophysics; springs (mechanical); statistical mechanics; stochastic processes; biological complexes; biological macromolecular complexes; cryo electron microscopy images; equilibrium statistical mechanics; mechanical model; spring constants; spring-mass mechanical model; statistical variability; thermal fluctuations; Biological system modeling; Computational modeling; Electron microscopy; Scattering; Springs; 3-D image understanding; cryo electron microscopy; equilibrium statistical mechanics; virus structure;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4127-3
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2011.5872788