title: Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization.
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.
authors.affiliation: Centro Nacional de Biotecnología, CSIC, Cantoblanco, 28049, Madrid, Spain.
authors.forename: Sjors H W
authors.initials: SH
authors.lastname: Scheres
authors.forename: Haixiao
authors.initials: H
authors.lastname: Gao
authors.forename: Mikel
authors.initials: M
authors.lastname: Valle
authors.forename: Gabor T
authors.initials: GT
authors.lastname: Herman
authors.forename: Paul P B
authors.initials: PP
authors.lastname: Eggermont
authors.forename: Joachim
authors.initials: J
authors.lastname: Frank
authors.forename: Jose-Maria
authors.initials: JM
authors.lastname: Carazo
mesh_terms: D000952:Antigens, Polyomavirus Transforming / Q000737:chemistry*; D004926:Escherichia coli / Q000737:chemistry; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016013:Likelihood Functions; D008854:Microscopy, Electron / Q000379:methods*; D008958:Models, Molecular; D011487:Protein Conformation; D012270:Ribosomes / Q000737:chemistry*; D012680:Sensitivity and Specificity; D013539:Simian virus 40 / Q000737:chemistry
chemical_list: D000952:Antigens, Polyomavirus Transforming