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Nat Methods. 2007 Jan;4(1):27-9. Epub 2006 Dec 10.

Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization.

Author information

1
Centro Nacional de Biotecnología, CSIC, Cantoblanco, 28049, Madrid, Spain.

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.

PMID:
17179934
DOI:
10.1038/nmeth992
[Indexed for MEDLINE]

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