Journal
NATURE METHODS
Volume 4, Issue 1, Pages 27-29Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH992
Keywords
-
Categories
Funding
- NATIONAL CENTER FOR RESEARCH RESOURCES [P41RR001219] Funding Source: NIH RePORTER
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [R01HL070472] Funding Source: NIH RePORTER
- NCRR NIH HHS [P41 RR01219] Funding Source: Medline
- NHLBI NIH HHS [HL70472] Funding Source: Medline
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available