| Literature DB >> 26884261 |
Joachim Frank1, Abbas Ourmazd2.
Abstract
Cryo-electron microscopy, when combined with single-particle reconstruction, is a powerful method for studying macromolecular structure. Recent developments in detector technology have pushed the resolution into a range comparable to that of X-ray crystallography. However, cryo-EM is able to separate and thus recover the structure of each of several discrete structures present in the sample. For the more general case involving continuous structural changes, a novel technique employing manifold embedding has been recently demonstrated. Potentially, the entire work-cycle of a molecular machine may be observed as it passes through a continuum of states, and its free-energy landscape may be mapped out. This technique will be outlined and discussed in the context of its application to a large single-particle dataset of yeast ribosomes.Entities:
Keywords: Classification; Heterogeneity; Machine learning; Molecular machines; Protein synthesis; Ribosome
Mesh:
Substances:
Year: 2016 PMID: 26884261 PMCID: PMC4848141 DOI: 10.1016/j.ymeth.2016.02.007
Source DB: PubMed Journal: Methods ISSN: 1046-2023 Impact factor: 4.647