2010Shatsky MultiVariate: Difference between revisions
(Created page with "== Citation == Automated Multi-model Reconstruction from Single-Particle Electron Microscopy Data, 2010, Maxim Shatsky, Richard J. Hall, Eva Nogales, Jitendra Malik, Steven E...") |
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Maxim Shatsky, Richard J. Hall, Eva Nogales, Jitendra Malik, Steven E. Brenner, | Maxim Shatsky, Richard J. Hall, Eva Nogales, Jitendra Malik, Steven E. Brenner, | ||
J Struct Biol. 2010 April; 170(1): 98–108 | J Struct Biol. 2010 April; 170(1): 98–108 | ||
== Abstract == | |||
Although three-dimensional electron microscopy (3D-EM) permits structural characterization of macromolecular assemblies in distinct functional states, the inability to classify projections from structurally heterogeneous samples has severely limited its application. We present a maximum likelihood-based classification method that does not depend on prior knowledge about the structural variability, and demonstrate its effectiveness for two macromolecular assemblies with different types of conformational variability: the Escherichia coli ribosome and Simian virus 40 (SV40) large T-antigen. | |||
Revision as of 08:58, 24 September 2013
Citation
Automated Multi-model Reconstruction from Single-Particle Electron Microscopy Data, 2010, Maxim Shatsky, Richard J. Hall, Eva Nogales, Jitendra Malik, Steven E. Brenner, J Struct Biol. 2010 April; 170(1): 98–108
Abstract
Although three-dimensional electron microscopy (3D-EM) permits structural characterization of macromolecular assemblies in distinct functional states, the inability to classify projections from structurally heterogeneous samples has severely limited its application. We present a maximum likelihood-based classification method that does not depend on prior knowledge about the structural variability, and demonstrate its effectiveness for two macromolecular assemblies with different types of conformational variability: the Escherichia coli ribosome and Simian virus 40 (SV40) large T-antigen.