Linked Life Data

11125866

Source:http://linkedlifedata.com/resource/pubmed/id/11125866

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2000-12-26
pubmed:abstractText
Some of the earliest methods for three-dimensional reconstruction from electron microscopic images were developed for helical objects. Single-particle methods have been used with great success for the three-dimensional reconstruction of macromolecular assemblies that have no internal symmetry or closed point group symmetries. An approach is presented for the application of single-particle methods to helical filaments that surmounts many of the difficulties of helical image analysis, including indexing, unbending and the need to find long helically symmetric filament segments. It is shown using both human Rad51 and E. coli RecA nucleoprotein filaments that this approach converges without user intervention to a stable solution, and that it has the potential to overcome many of the problems associated with image analysis of disordered helical polymers. The method can be applied transparently to structures where Bessel overlap would greatly complicate helical analysis. In addition, the procedure allows for the ab initio determination of helical symmetry, when no prior knowledge exists.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0304-3991
pubmed:author
pubmed:issnType
Print
pubmed:volume
85
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
225-34
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
A robust algorithm for the reconstruction of helical filaments using single-particle methods.
pubmed:affiliation
Department of Biochemistry and Molecular Genetics, University of Virginia, Health Sciences Center, Charlottesville 22908-0733, USA. egelman@virginia.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Evaluation Studies