Linked Life Data

14643220

Source:http://linkedlifedata.com/resource/pubmed/id/14643220

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2003-12-3
pubmed:abstractText
We describe here a set of procedures and algorithms that may be used as an aid in determining the indexing rule of a helical specimen. Crystallizing macromolecules into helical arrays has the potential to speed up and simplify the process of three-dimensional reconstruction of the macromolecular structure. The process of helical reconstruction has been largely automated except for the critical first step of indexing the helical diffraction pattern. This is quite often the rate-limiting step in the overall process, particularly in the case of large helical tubes, which have complicated helical diffraction patterns that may vary from tube to tube. We have developed a set of procedures, supported by a graphical user interface, that provide a straightforward and semi-automated approach to indexing a helical structure. The new procedures have been tested using a number of helical specimens, including TMV, acto-myosin, decorated microtubules, and a variety of helical tubes of a bacterial membrane protein.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1047-8477
pubmed:author
pubmed:issnType
Print
pubmed:volume
144
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
172-83
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:articleTitle
Windex: a toolset for indexing helices.
pubmed:affiliation
Department of Cell Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S.