Linked Life Data

20004160

Source:http://linkedlifedata.com/resource/pubmed/id/20004160

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
2009-12-17
pubmed:abstractText
The reference-free averaging of three-dimensional electron microscopy (3D-EM) reconstructions with empty regions in Fourier space represents a pressing problem in electron tomography and single-particle analysis. We present a maximum likelihood algorithm for the simultaneous alignment and classification of subtomograms or random conical tilt (RCT) reconstructions, where the Fourier components in the missing data regions are treated as hidden variables. The behavior of this algorithm was explored using tests on simulated data, while application to experimental data was shown to yield unsupervised class averages for subtomograms of groEL/groES complexes and RCT reconstructions of p53. The latter application served to obtain a reliable de novo structure for p53 that may resolve uncertainties about its quaternary structure.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1878-4186
pubmed:author
pubmed:issnType
Electronic
pubmed:day
9
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1563-72
pubmed:dateRevised
2011-8-1
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Averaging of electron subtomograms and random conical tilt reconstructions through likelihood optimization.
pubmed:affiliation
Biocomputing Unit, Centro Nacional de Biotecnología - CSIC, Darwin 3, Cantoblanco, 28049, Madrid, Spain. scheres@cnb.csic.es
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't